Section 5.5 Z Scores soln.notebook. December 07, Section 5.5 Z Scores
|
|
- Scot Cole
- 5 years ago
- Views:
Transcription
1 Section 5.5 Z Scores 1
2 Warm up/review: The Normal Distribution Curve Given that the average adult in North America has a mean mass of 72 kg, with a standard deviation of 14 kg. a) How many standard deviations are the weights 58 kg and 86 kg away from the mean? b) What percentage of the population has weights between 58 and 86 kg? c) How many standard deviations are the weights 65 kg and 79 kg away from the mean? d) Given the rule, can we answer the percentage of the population that has weights between 65 kg and 79 kg? 2
3 In order to calculate the percentage under a normal curve for any given interval, statisticians have devised the z score table. The z score table represents the percentage underneath that is less than the given number of standard deviations away from the mean. Recall: Facts about Normal Distribution Curves 3
4 4
5 What is the point of finding a Z score? Then refer to the chart p at the back of your book. The z score will give you a percent for the area under the curve, less than or equal to the data value. 5
6 Example 1: Determine the following z scores for data point if the mean is 67 and the standard deviation of 8.5. A) 90 B) 50 C) 4 D) 100 6
7 Example 2: On the math placement test at Memorial University of Newfoundland, the mean score was 62 and the standard deviation was 11. If Mark s z score was 0.8, what was his actual exam mark? 7
8 Example 3: IQ tests are sometimes used to measure a person s intellectual capacity at a particular time. IQ scores are normally distributed, with a mean of 100 and standard deviation of 15. a) If a person scores 119 on an IQ test, how does this score compare with the scores of the general population? b) If this data reflects that of a population of people, approximately how many people have an IQ above 119? 8
9 Example 4: Draw and label a standard normal distribution and find the percentage of scores that would be: A) Below z = 2.25 B) Above z =
10 C) Below z = 1.78 D) Above z =
11 E) Between z = 2.1 and z = 1.2 F) Between z = 1 and z = 1 11
12 Example 5: Two students competed in a nationwide mathematics competition and received these scores. Anna: 70 Bruce: 80 a) If μ = 66 and σ = 10, find their z scores. b) What percent of the population did Anna score better than? c) What percent of the population, scored better than Bruce? 12
13 Example 6: The average life expectancy of a certain breed of cat was determined to be 12.2 years with a standard deviation of 1.3 years. What is the probability that a given cat will live less than 14 years? 13
14 14
15 Example 7: Red candy hearts are packaged according to weight with a mean of 300 g and a standard deviation of 8 g. Packages with weights less than 290 g and more than 312 g are rejected by quality control workers. a) If packages are produced each day, how many packages would quality control expect to reject in a day? b) What advice would you give this company? 15
16 Example 8: Cars are undercoated as a protection against rust. A car dealer determines the mean life of protection is 65 months and the standard deviation is 4.5 months. a) What guarantee should the dealer give so that fewer than 15% of the customers will return their cars? b) The dealer creates a fund, based on the guarantee, from which refunds and repairs are made. It is estimated that about 2500 cars will be undercoated annually. The average repair on returned cars is about $165. How much money should be placed in the fund to cover customer returns? 16
17 17
Set up a normal distribution curve, to help estimate the percent of the band that, on average, practices a greater number of hours than Alexis.
Section 5.5 Z-Scores Example 1 Alexis plays in her school jazz band. Band members practice an average of 16.5 h per week, with a standard deviation of 4.2 h. Alexis practices an average of 22 h per week.
More informationMath 230 Exam 2 Name April 8, 1999
Math 230 Exam 2 Name April 8, 1999 Instructions: Answer each question to the best of your ability. Most questions require that you give a concluding or summary statement. These statements should be complete
More informationDensity curves. (James Madison University) February 4, / 20
Density curves Figure 6.2 p 230. A density curve is always on or above the horizontal axis, and has area exactly 1 underneath it. A density curve describes the overall pattern of a distribution. Example
More informationClub Standard Deviation: (s) Hailey s Run Time (s) At which location was Hailey s run time better, when compared with the club results?
5.5 Z-Scores GOAL Use z-scores to compare data, make predictions, and solve problems. LEARN ABOUT the Math Hailey and Serge belong to a running club in Vancouver. Part of their training involves a 200
More information5.1 Mean, Median, & Mode
5.1 Mean, Median, & Mode definitions Mean: Median: Mode: Example 1 The Blue Jays score these amounts of runs in their last 9 games: 4, 7, 2, 4, 10, 5, 6, 7, 7 Find the mean, median, and mode: Example 2
More informationSTAT Chapter 6 The Standard Deviation (SD) as a Ruler and The Normal Model
STAT 203 - Chapter 6 The Standard Deviation (SD) as a Ruler and The Normal Model In Chapter 5, we introduced a few measures of center and spread, and discussed how the mean and standard deviation are good
More informationMath 227 Elementary Statistics. Bluman 5 th edition
Math 227 Elementary Statistics Bluman 5 th edition CHAPTER 6 The Normal Distribution 2 Objectives Identify distributions as symmetrical or skewed. Identify the properties of the normal distribution. Find
More informationSTAT Chapter 6 The Standard Deviation (SD) as a Ruler and The Normal Model
STAT 203 - Chapter 6 The Standard Deviation (SD) as a Ruler and The Normal Model In Chapter 5, we introduced a few measures of center and spread, and discussed how the mean and standard deviation are good
More information11.5: Normal Distributions
11.5: Normal Distributions 11.5.1 Up to now, we ve dealt with discrete random variables, variables that take on only a finite (or countably infinite we didn t do these) number of values. A continuous random
More information. 13. The maximum error (margin of error) of the estimate for μ (based on known σ) is:
Statistics Sample Exam 3 Solution Chapters 6 & 7: Normal Probability Distributions & Estimates 1. What percent of normally distributed data value lie within 2 standard deviations to either side of the
More informationThe Normal Probability Distribution
1 The Normal Probability Distribution Key Definitions Probability Density Function: An equation used to compute probabilities for continuous random variables where the output value is greater than zero
More informationReminders. Quiz today - please bring a calculator I ll post the next HW by Saturday (last HW!)
Reminders Quiz today - please bring a calculator I ll post the next HW by Saturday (last HW!) 1 Warm Up Chat with your neighbor. What is the Central Limit Theorem? Why do we care about it? What s the (long)
More informationIf the distribution of a random variable x is approximately normal, then
Confidence Intervals for the Mean (σ unknown) In many real life situations, the standard deviation is unknown. In order to construct a confidence interval for a random variable that is normally distributed
More informationFall 2011 Exam Score: /75. Exam 3
Math 12 Fall 2011 Name Exam Score: /75 Total Class Percent to Date Exam 3 For problems 1-10, circle the letter next to the response that best answers the question or completes the sentence. You do not
More informationClass 16. Daniel B. Rowe, Ph.D. Department of Mathematics, Statistics, and Computer Science. Marquette University MATH 1700
Class 16 Daniel B. Rowe, Ph.D. Department of Mathematics, Statistics, and Computer Science Copyright 013 by D.B. Rowe 1 Agenda: Recap Chapter 7. - 7.3 Lecture Chapter 8.1-8. Review Chapter 6. Problem Solving
More informationCH 5 Normal Probability Distributions Properties of the Normal Distribution
Properties of the Normal Distribution Example A friend that is always late. Let X represent the amount of minutes that pass from the moment you are suppose to meet your friend until the moment your friend
More informationFORMULA FOR STANDARD DEVIATION:
Chapter 5 Review: Statistics Textbook p.210-282 Summary: p.238-239, p.278-279 Practice Questions p.240, p.280-282 Z- Score Table p.592 Key Concepts: Central Tendency, Standard Deviation, Graphing, Normal
More informationChapter 7. Confidence Intervals and Sample Sizes. Definition. Definition. Definition. Definition. Confidence Interval : CI. Point Estimate.
Chapter 7 Confidence Intervals and Sample Sizes 7. Estimating a Proportion p 7.3 Estimating a Mean µ (σ known) 7.4 Estimating a Mean µ (σ unknown) 7.5 Estimating a Standard Deviation σ In a recent poll,
More informationSection Introduction to Normal Distributions
Section 6.1-6.2 Introduction to Normal Distributions 2012 Pearson Education, Inc. All rights reserved. 1 of 105 Section 6.1-6.2 Objectives Interpret graphs of normal probability distributions Find areas
More informationThe Standard Deviation as a Ruler and the Normal Model. Copyright 2009 Pearson Education, Inc.
The Standard Deviation as a Ruler and the Normal Mol Copyright 2009 Pearson Education, Inc. The trick in comparing very different-looking values is to use standard viations as our rulers. The standard
More informationExam II Math 1342 Capters 3-5 HCCS. Name
Exam II Math 1342 Capters 3-5 HCCS Name Date Provide an appropriate response. 1) A single six-sided die is rolled. Find the probability of rolling a number less than 3. A) 0.5 B) 0.1 C) 0.25 D 0.333 1)
More informationChapter 8 Homework Solutions Compiled by Joe Kahlig. speed(x) freq 25 x < x < x < x < x < x < 55 5
H homework problems, C-copyright Joe Kahlig Chapter Solutions, Page Chapter Homework Solutions Compiled by Joe Kahlig. (a) finite discrete (b) infinite discrete (c) continuous (d) finite discrete (e) continuous.
More informationThe Normal Distribution
5.1 Introduction to Normal Distributions and the Standard Normal Distribution Section Learning objectives: 1. How to interpret graphs of normal probability distributions 2. How to find areas under the
More informationClass 12. Daniel B. Rowe, Ph.D. Department of Mathematics, Statistics, and Computer Science. Marquette University MATH 1700
Class 12 Daniel B. Rowe, Ph.D. Department of Mathematics, Statistics, and Computer Science Copyright 2017 by D.B. Rowe 1 Agenda: Recap Chapter 6.1-6.2 Lecture Chapter 6.3-6.5 Problem Solving Session. 2
More informationMath 14, Homework 6.2 p. 337 # 3, 4, 9, 10, 15, 18, 19, 21, 22 Name
Name 3. Population in U.S. Jails The average daily jail population in the United States is 706,242. If the distribution is normal and the standard deviation is 52,145, find the probability that on a randomly
More information6.1 Graphs of Normal Probability Distributions:
6.1 Graphs of Normal Probability Distributions: Normal Distribution one of the most important examples of a continuous probability distribution, studied by Abraham de Moivre (1667 1754) and Carl Friedrich
More informationBoth the quizzes and exams are closed book. However, For quizzes: Formulas will be provided with quiz papers if there is any need.
Both the quizzes and exams are closed book. However, For quizzes: Formulas will be provided with quiz papers if there is any need. For exams (MD1, MD2, and Final): You may bring one 8.5 by 11 sheet of
More informationIn a binomial experiment of n trials, where p = probability of success and q = probability of failure. mean variance standard deviation
Name In a binomial experiment of n trials, where p = probability of success and q = probability of failure mean variance standard deviation µ = n p σ = n p q σ = n p q Notation X ~ B(n, p) The probability
More informationDetermining Sample Size. Slide 1 ˆ ˆ. p q n E = z α / 2. (solve for n by algebra) n = E 2
Determining Sample Size Slide 1 E = z α / 2 ˆ ˆ p q n (solve for n by algebra) n = ( zα α / 2) 2 p ˆ qˆ E 2 Sample Size for Estimating Proportion p When an estimate of ˆp is known: Slide 2 n = ˆ ˆ ( )
More informationIntroduction to Statistics I
Introduction to Statistics I Keio University, Faculty of Economics Continuous random variables Simon Clinet (Keio University) Intro to Stats November 1, 2018 1 / 18 Definition (Continuous random variable)
More informationMath 2311 Bekki George Office Hours: MW 11am to 12:45pm in 639 PGH Online Thursdays 4-5:30pm And by appointment
Math 2311 Bekki George bekki@math.uh.edu Office Hours: MW 11am to 12:45pm in 639 PGH Online Thursdays 4-5:30pm And by appointment Class webpage: http://www.math.uh.edu/~bekki/math2311.html Math 2311 Class
More informationI. Standard Error II. Standard Error III. Standard Error 2.54
1) Original Population: Match the standard error (I, II, or III) with the correct sampling distribution (A, B, or C) and the correct sample size (1, 5, or 10) I. Standard Error 1.03 II. Standard Error
More information22.2 Shape, Center, and Spread
Name Class Date 22.2 Shape, Center, and Spread Essential Question: Which measures of center and spread are appropriate for a normal distribution, and which are appropriate for a skewed distribution? Eplore
More informationMath Tech IIII, May 7
Math Tech IIII, May 7 The Normal Probability Models Book Sections: 5.1, 5.2, & 5.3 Essential Questions: How can I use the normal distribution to compute probability? Standards: S.ID.4 Properties of the
More information1/12/2011. Chapter 5: z-scores: Location of Scores and Standardized Distributions. Introduction to z-scores. Introduction to z-scores cont.
Chapter 5: z-scores: Location of Scores and Standardized Distributions Introduction to z-scores In the previous two chapters, we introduced the concepts of the mean and the standard deviation as methods
More information8.2 The Standard Deviation as a Ruler Chapter 8 The Normal and Other Continuous Distributions 8-1
8.2 The Standard Deviation as a Ruler Chapter 8 The Normal and Other Continuous Distributions For Example: On August 8, 2011, the Dow dropped 634.8 points, sending shock waves through the financial community.
More informationVII The Normal Distribution
MATHEMATICS 360-255-LW Quantitative Methods II Martin Huard Winter 2013 1. Find the area under the normal curve a) between z = 0 and z = 1.90 b) between z = -1.75 and z = 0 c) between z = 1.25 and z =
More informationThe Central Limit Theorem
Section 6-5 The Central Limit Theorem I. Sampling Distribution of Sample Mean ( ) Eample 1: Population Distribution Table 2 4 6 8 P() 1/4 1/4 1/4 1/4 μ (a) Find the population mean and population standard
More informationSignificance Test Review
Significance Test Review 1) Kmart brand 60W light bulbs state on the package, Average life of 1000 hours. Let µ denote the true mean life of Kmart 60W light bulbs. People who purchase this brand would
More informationMULTIPLE CHOICE. Choose the one alternative that best completes the statement or answers the question.
Exam Name MULTIPLE CHOICE. Choose the one alternative that best completes the statement or answers the question. 1) Use the Central Limit Theorem to find the indicated probability. The sample size is n,
More informationTerms & Characteristics
NORMAL CURVE Knowledge that a variable is distributed normally can be helpful in drawing inferences as to how frequently certain observations are likely to occur. NORMAL CURVE A Normal distribution: Distribution
More informationSTAT:2010 Statistical Methods and Computing. Using density curves to describe the distribution of values of a quantitative
STAT:10 Statistical Methods and Computing Normal Distributions Lecture 4 Feb. 6, 17 Kate Cowles 374 SH, 335-0727 kate-cowles@uiowa.edu 1 2 Using density curves to describe the distribution of values of
More informationChapter 6 Test Practice Questions
Probability and Statistics - Mrs. Leahy Name Chapter 6 Test Practice Questions Provide an appropriate response. 1) For a sample of 20 IQ scores the mean score is 105.8. The standard deviation,, is 15.
More informationGETTING STARTED. To OPEN MINITAB: Click Start>Programs>Minitab14>Minitab14 or Click Minitab 14 on your Desktop
Minitab 14 1 GETTING STARTED To OPEN MINITAB: Click Start>Programs>Minitab14>Minitab14 or Click Minitab 14 on your Desktop The Minitab session will come up like this 2 To SAVE FILE 1. Click File>Save Project
More informationSolutions for practice questions: Chapter 15, Probability Distributions If you find any errors, please let me know at
Solutions for practice questions: Chapter 15, Probability Distributions If you find any errors, please let me know at mailto:msfrisbie@pfrisbie.com. 1. Let X represent the savings of a resident; X ~ N(3000,
More informationMidterm Test 1 (Sample) Student Name (PRINT):... Student Signature:... Use pencil, so that you can erase and rewrite if necessary.
MA 180/418 Midterm Test 1 (Sample) Student Name (PRINT):............................................. Student Signature:................................................... Use pencil, so that you can erase
More informationStatistics Class 15 3/21/2012
Statistics Class 15 3/21/2012 Quiz 1. Cans of regular Pepsi are labeled to indicate that they contain 12 oz. Data Set 17 in Appendix B lists measured amounts for a sample of Pepsi cans. The same statistics
More information7.1 Graphs of Normal Probability Distributions
7 Normal Distributions In Chapter 6, we looked at the distributions of discrete random variables in particular, the binomial. Now we turn out attention to continuous random variables in particular, the
More informationChapter 3. Density Curves. Density Curves. Basic Practice of Statistics - 3rd Edition. Chapter 3 1. The Normal Distributions
Chapter 3 The Normal Distributions BPS - 3rd Ed. Chapter 3 1 Example: here is a histogram of vocabulary scores of 947 seventh graders. The smooth curve drawn over the histogram is a mathematical model
More informationMULTIPLE CHOICE. Choose the one alternative that best completes the statement or answers the question.
Ch. 8 Sampling Distributions 8.1 Distribution of the Sample Mean 1 Describe the distribution of the sample mean: normal population. MULTIPLE CHOICE. Choose the one alternative that best completes the statement
More informationContents. The Binomial Distribution. The Binomial Distribution The Normal Approximation to the Binomial Left hander example
Contents The Binomial Distribution The Normal Approximation to the Binomial Left hander example The Binomial Distribution When you flip a coin there are only two possible outcomes - heads or tails. This
More information(a) salary of a bank executive (measured in dollars) quantitative. (c) SAT scores of students at Millersville University quantitative
Millersville University Name Answer Key Department of Mathematics MATH 130, Elements of Statistics I, Test 1 February 8, 2010, 10:00AM-10:50AM Please answer the following questions. Your answers will be
More informationMidterm Exam III Review
Midterm Exam III Review Dr. Joseph Brennan Math 148, BU Dr. Joseph Brennan (Math 148, BU) Midterm Exam III Review 1 / 25 Permutations and Combinations ORDER In order to count the number of possible ways
More informationNormal Sampling and Modelling
8.3 Normal Sampling and Modelling Many statistical studies take sample data from an underlying normal population. As you saw in the investigation on page 422, the distribution of the sample data reflects
More informationThe Mathematics of Normality
MATH 110 Week 9 Chapter 17 Worksheet The Mathematics of Normality NAME Normal (bell-shaped) distributions play an important role in the world of statistics. One reason the normal distribution is important
More informationApplications of Data Dispersions
1 Applications of Data Dispersions Key Definitions Standard Deviation: The standard deviation shows how far away each value is from the mean on average. Z-Scores: The distance between the mean and a given
More informationInstallment Buying. MATH 100 Survey of Mathematical Ideas. J. Robert Buchanan. Summer Department of Mathematics
Installment Buying MATH 100 Survey of Mathematical Ideas J. Robert Buchanan Department of Mathematics Summer 2018 Introduction Today we will focus on borrowing (to purchase something) and paying the loan
More informationContinuous Probability Distributions & Normal Distribution
Mathematical Methods Units 3/4 Student Learning Plan Continuous Probability Distributions & Normal Distribution 7 lessons Notes: Students need practice in recognising whether a problem involves a discrete
More informationChapter Seven: Confidence Intervals and Sample Size
Chapter Seven: Confidence Intervals and Sample Size A point estimate is: The best point estimate of the population mean µ is the sample mean X. Three Properties of a Good Estimator 1. Unbiased 2. Consistent
More informationVersion A. Problem 1. Let X be the continuous random variable defined by the following pdf: 1 x/2 when 0 x 2, f(x) = 0 otherwise.
Math 224 Q Exam 3A Fall 217 Tues Dec 12 Version A Problem 1. Let X be the continuous random variable defined by the following pdf: { 1 x/2 when x 2, f(x) otherwise. (a) Compute the mean µ E[X]. E[X] x
More informationLecture 7 Random Variables
Lecture 7 Random Variables Definition: A random variable is a variable whose value is a numerical outcome of a random phenomenon, so its values are determined by chance. We shall use letters such as X
More informationThe Normal Model The famous bell curve
Math 243 Sections 6.1-6.2 The Normal Model Here are some roughly symmetric, unimodal histograms The Normal Model The famous bell curve Example 1. Let s say the mean annual rainfall in Portland is 40 inches
More informationThe "bell-shaped" curve, or normal curve, is a probability distribution that describes many real-life situations.
6.1 6.2 The Standard Normal Curve The "bell-shaped" curve, or normal curve, is a probability distribution that describes many real-life situations. Basic Properties 1. The total area under the curve is.
More informationBIOL The Normal Distribution and the Central Limit Theorem
BIOL 300 - The Normal Distribution and the Central Limit Theorem In the first week of the course, we introduced a few measures of center and spread, and discussed how the mean and standard deviation are
More informationMULTIPLE CHOICE. Choose the one alternative that best completes the statement or answers the question.
Exam Name MULTIPLE CHOICE. Choose the one alternative that best completes the statement or answers the question. 1) A population has a standard deviation σ = 20.2. How large a sample must be drawn so that
More informationChapter 6 Confidence Intervals Section 6-1 Confidence Intervals for the Mean (Large Samples) Estimating Population Parameters
Chapter 6 Confidence Intervals Section 6-1 Confidence Intervals for the Mean (Large Samples) Estimating Population Parameters VOCABULARY: Point Estimate a value for a parameter. The most point estimate
More informationAMS 7 Sampling Distributions, Central limit theorem, Confidence Intervals Lecture 4
AMS 7 Sampling Distributions, Central limit theorem, Confidence Intervals Lecture 4 Department of Applied Mathematics and Statistics, University of California, Santa Cruz Summer 2014 1 / 26 Sampling Distributions!!!!!!
More informationChapter 6: The Normal Distribution
Chapter 6: The Normal Distribution Diana Pell Section 6.1: Normal Distributions Note: Recall that a continuous variable can assume all values between any two given values of the variables. Many continuous
More informationSection 7-2 Estimating a Population Proportion
Section 7- Estimating a Population Proportion 1 Key Concept In this section we present methods for using a sample proportion to estimate the value of a population proportion. The sample proportion is the
More information2.) What is the set of outcomes that describes the event that at least one of the items selected is defective? {AD, DA, DD}
Math 361 Practice Exam 2 (Use this information for questions 1 3) At the end of a production run manufacturing rubber gaskets, items are sampled at random and inspected to determine if the item is Acceptable
More informationSection 3.5a Applying the Normal Distribution MDM4U Jensen
Section 3.5a Applying the Normal Distribution MDM4U Jensen Part 1: Normal Distribution Video While watching the video, answer the following questions 1. What is another name for the Empirical rule? The
More informationChapter 6: The Normal Distribution
Chapter 6: The Normal Distribution Diana Pell Section 6.1: Normal Distributions Note: Recall that a continuous variable can assume all values between any two given values of the variables. Many continuous
More informationSTATISTICS - CLUTCH CH.9: SAMPLING DISTRIBUTIONS: MEAN.
!! www.clutchprep.com SAMPLING DISTRIBUTIONS (MEANS) As of now, the normal distributions we have worked with only deal with the population of observations Example: What is the probability of randomly selecting
More informationMath 14, Homework 7.1 p. 379 # 7, 9, 18, 20, 21, 23, 25, 26 Name
7.1 p. 379 # 7, 9, 18, 0, 1, 3, 5, 6 Name 7. Find each. (a) z α Step 1 Step Shade the desired percent under the mean statistics calculator to 99% confidence interval 3 1 0 1 3 µ 3σ µ σ µ σ µ µ+σ µ+σ µ+3σ
More informationChapter 6 Statistics Extra Practice Exercises
6.1 Statistics For each situation construct a histogram and use it to answer the question. (For Exercises 1 5, histograms may vary.) 1. Blue Book Values A random sample of thirty-two cars parked at Emmett
More informationA continuous random variable is one that can theoretically take on any value on some line interval. We use f ( x)
Section 6-2 I. Continuous Probability Distributions A continuous random variable is one that can theoretically take on any value on some line interval. We use f ( x) to represent a probability density
More informationIOP 201-Q (Industrial Psychological Research) Tutorial 5
IOP 201-Q (Industrial Psychological Research) Tutorial 5 TRUE/FALSE [1 point each] Indicate whether the sentence or statement is true or false. 1. To establish a cause-and-effect relation between two variables,
More informationMATH 264 Problem Homework I
MATH Problem Homework I Due to December 9, 00@:0 PROBLEMS & SOLUTIONS. A student answers a multiple-choice examination question that offers four possible answers. Suppose that the probability that the
More informationChapter 7. Confidence Intervals and Sample Size. Bluman, Chapter 7. Friday, January 25, 13
Chapter 7 Confidence Intervals and Sample Size 1 1 Chapter 7 Overview Introduction 7-1 Confidence Intervals for the Mean When σ Is Known and Sample Size 7-2 Confidence Intervals for the Mean When σ Is
More informationConfidence Intervals and Sample Size
Confidence Intervals and Sample Size Chapter 6 shows us how we can use the Central Limit Theorem (CLT) to 1. estimate a population parameter (such as the mean or proportion) using a sample, and. determine
More information2 DESCRIPTIVE STATISTICS
Chapter 2 Descriptive Statistics 47 2 DESCRIPTIVE STATISTICS Figure 2.1 When you have large amounts of data, you will need to organize it in a way that makes sense. These ballots from an election are rolled
More informationThese Statistics NOTES Belong to:
These Statistics NOTES Belong to: Topic Notes Questions Date 1 2 3 4 5 6 REVIEW DO EVERY QUESTION IN YOUR PROVINCIAL EXAM BINDER Important Calculator Functions to know for this chapter Normal Distributions
More informationINFERENTIAL STATISTICS REVISION
INFERENTIAL STATISTICS REVISION PREMIUM VERSION PREVIEW WWW.MATHSPOINTS.IE/SIGN-UP/ 2016 LCHL Paper 2 Question 9 (a) (i) Data on earnings were published for a particular country. The data showed that the
More informationElementary Statistics Triola, Elementary Statistics 11/e Unit 14 The Confidence Interval for Means, σ Unknown
Elementary Statistics We are now ready to begin our exploration of how we make estimates of the population mean. Before we get started, I want to emphasize the importance of having collected a representative
More informationMath 1070 Sample Exam 2 Spring 2015
University of Connecticut Department of Mathematics Math 1070 Sample Exam 2 Spring 2015 Name: Instructor Name: Section: Exam 2 will cover Sections 4.6-4.7, 5.3-5.4, 6.1-6.4, and F.1-F.4. This sample exam
More information* Point estimate for P is: x n
Estimation and Confidence Interval Estimation and Confidence Interval: Single Mean: To find the confidence intervals for a single mean: 1- X ± ( Z 1 σ n σ known S - X ± (t 1,n 1 n σ unknown Estimation
More informationECO220Y Estimation: Confidence Interval Estimator for Sample Proportions Readings: Chapter 11 (skip 11.5)
ECO220Y Estimation: Confidence Interval Estimator for Sample Proportions Readings: Chapter 11 (skip 11.5) Fall 2011 Lecture 10 (Fall 2011) Estimation Lecture 10 1 / 23 Review: Sampling Distributions Sample
More informationTuesday, Week 10. Announcements:
Tuesday, Week 10 Announcements: Thursday, October 25, 2 nd midterm in class, covering Chapters 6-8 (Confidence intervals). Charissa Mikoski, the TA for our class, will be administering the exam (I will
More informationc) Why do you think the two percentages don't agree? d) Create a histogram of these times. What do you see?
1. Payroll. Here are the summary statistics for the weekly payroll of a small company: lowest salary = $300, mean salary = $700, median = $500, range = $1200, IQR = $600, first quartile = $350, standard
More informationChapter 6 Section Review day s.notebook. May 11, Honors Statistics. Aug 23-8:26 PM. 3. Review team test.
Honors Statistics Aug 23-8:26 PM 3. Review team test Aug 23-8:31 PM 1 Nov 27-10:28 PM 6.1 6.2 6.3 6.4 6.5 6.6 6.7 6.8 6.9 6.10 6.11 6.12 Nov 27-9:53 PM 2 May 8-7:44 PM May 1-9:09 PM 3 Dec 1-2:08 PM Sep
More informationMath 227 (Statistics) Chapter 6 Practice Test MULTIPLE CHOICE. Choose the one alternative that best completes the statement or answers the question.
Math 227 (Statistics) Chapter 6 Practice Test MULTIPLE CHOICE. Choose the one alternative that best completes the statement or answers the question. Using the following uniform density curve, answer the
More informationThe graph of a normal curve is symmetric with respect to the line x = µ, and has points of
Stat 400, section 4.3 Normal Random Variables notes prepared by Tim Pilachowski Another often-useful probability density function is the normal density function, which graphs as the familiar bell-shaped
More informationEstimation. Focus Points 10/11/2011. Estimating p in the Binomial Distribution. Section 7.3
Estimation 7 Copyright Cengage Learning. All rights reserved. Section 7.3 Estimating p in the Binomial Distribution Copyright Cengage Learning. All rights reserved. Focus Points Compute the maximal length
More informationDistribution. Lecture 34 Section Fri, Oct 31, Hampden-Sydney College. Student s t Distribution. Robb T. Koether.
Lecture 34 Section 10.2 Hampden-Sydney College Fri, Oct 31, 2008 Outline 1 2 3 4 5 6 7 8 Exercise 10.4, page 633. A psychologist is studying the distribution of IQ scores of girls at an alternative high
More informationMath 243 Lecture Notes
Assume the average annual rainfall for in Portland is 36 inches per year with a standard deviation of 9 inches. Also assume that the average wind speed in Chicago is 10 mph with a standard deviation of
More informationGraphing a Binomial Probability Distribution Histogram
Chapter 6 8A: Using a Normal Distribution to Approximate a Binomial Probability Distribution Graphing a Binomial Probability Distribution Histogram Lower and Upper Class Boundaries are used to graph the
More informationLecture 9. Probability Distributions. Outline. Outline
Outline Lecture 9 Probability Distributions 6-1 Introduction 6- Probability Distributions 6-3 Mean, Variance, and Expectation 6-4 The Binomial Distribution Outline 7- Properties of the Normal Distribution
More informationMath 140 Introductory Statistics. Next midterm May 1
Math 140 Introductory Statistics Next midterm May 1 8.1 Confidence intervals 54% of Americans approve the job the president is doing with a margin error of 3% 55% of 18-29 year olds consider themselves
More informationPart 1 In which we meet the law of averages. The Law of Averages. The Expected Value & The Standard Error. Where Are We Going?
1 The Law of Averages The Expected Value & The Standard Error Where Are We Going? Sums of random numbers The law of averages Box models for generating random numbers Sums of draws: the Expected Value Standard
More informationLecture 9. Probability Distributions
Lecture 9 Probability Distributions Outline 6-1 Introduction 6-2 Probability Distributions 6-3 Mean, Variance, and Expectation 6-4 The Binomial Distribution Outline 7-2 Properties of the Normal Distribution
More information