Section 3.4 The Normal Distribution

Similar documents
Week 7. Texas A& M University. Department of Mathematics Texas A& M University, College Station Section 3.2, 3.3 and 3.4

Shifting and rescaling data distributions

5.3 Interval Estimation

Continuous Random Variables and the Normal Distribution

Mr. Orchard s Math 141 WIR 8.5, 8.6, 5.1 Week 13

Using the Central Limit Theorem It is important for you to understand when to use the CLT. If you are being asked to find the probability of the

3. Continuous Probability Distributions

Central Limit Theorem

Chapter Seven: Confidence Intervals and Sample Size

Section 7.5 The Normal Distribution. Section 7.6 Application of the Normal Distribution

Unit 2: Statistics Probability

As you draw random samples of size n, as n increases, the sample means tend to be normally distributed.

Chapter 7 1. Random Variables

Section Distributions of Random Variables

CH 5 Normal Probability Distributions Properties of the Normal Distribution

Section 8.4 The Binomial Distribution

The Normal Distribution

Statistics (This summary is for chapters 18, 29 and section H of chapter 19)

Binomial and Normal Distributions. Example: Determine whether the following experiments are binomial experiments. Explain.

Section Distributions of Random Variables

Expected Value of a Random Variable

5.1 Sampling Distributions for Counts and Proportions. Ulrich Hoensch MAT210 Rocky Mountain College Billings, MT 59102

Making Sense of Cents

Data that can be any numerical value are called continuous. These are usually things that are measured, such as height, length, time, speed, etc.

The Central Limit Theorem for Sums

The Normal Probability Distribution

Normal Probability Distributions

Statistics (This summary is for chapters 17, 28, 29 and section G of chapter 19)

6.1 Graphs of Normal Probability Distributions:

The "bell-shaped" curve, or normal curve, is a probability distribution that describes many real-life situations.

Fall 2011 Exam Score: /75. Exam 3

Determining Sample Size. Slide 1 ˆ ˆ. p q n E = z α / 2. (solve for n by algebra) n = E 2

Study Ch. 7.3, # 63 71

Math Week in Review #10. Experiments with two outcomes ( success and failure ) are called Bernoulli or binomial trials.

Section 8.1 Distributions of Random Variables

Math 120 Introduction to Statistics Mr. Toner s Lecture Notes. Standardizing normal distributions The Standard Normal Curve

8.3 CI for μ, σ NOT known (old 8.4)

The Normal Probability Distribution

Standard Normal Calculations

The Central Limit Theorem for Sample Means (Averages)

Chapter 8 Homework Solutions Compiled by Joe Kahlig. speed(x) freq 25 x < x < x < x < x < x < 55 5

Chapter 4 and Chapter 5 Test Review Worksheet

Chapter 6 Confidence Intervals Section 6-1 Confidence Intervals for the Mean (Large Samples) Estimating Population Parameters

Section Random Variables and Histograms

Section 3.1 Distributions of Random Variables

Section 8.1 Distributions of Random Variables

Chapter 7. Confidence Intervals and Sample Sizes. Definition. Definition. Definition. Definition. Confidence Interval : CI. Point Estimate.

Uniform Probability Distribution. Continuous Random Variables &

Statistics for Business and Economics

Chapter 6. The Normal Probability Distributions

Sampling & populations

These Statistics NOTES Belong to:

CH 6 Review Normal Probability Distributions College Statistics

Statistical Methods in Practice STAT/MATH 3379

Distribution of the Sample Mean

Chapter 6 Confidence Intervals

Math Tech IIII, May 7

L04: Homework Answer Key

Review of commonly missed questions on the online quiz. Lecture 7: Random variables] Expected value and standard deviation. Let s bet...

Confidence Intervals and Sample Size

The Binomial Distribution

No, because np = 100(0.02) = 2. The value of np must be greater than or equal to 5 to use the normal approximation.

7 THE CENTRAL LIMIT THEOREM

INFERENTIAL STATISTICS REVISION

MATH 264 Problem Homework I

Lecture 9. Probability Distributions. Outline. Outline

Confidence Intervals Introduction

Lecture 9. Probability Distributions

Example - Let X be the number of boys in a 4 child family. Find the probability distribution table:

Math 14, Homework 6.2 p. 337 # 3, 4, 9, 10, 15, 18, 19, 21, 22 Name

Chapter 4 Random Variables & Probability. Chapter 4.5, 6, 8 Probability Distributions for Continuous Random Variables

Chapter 7 - Lecture 1 General concepts and criteria

Prob and Stats, Nov 7

5.1 Mean, Median, & Mode

Continuous Probability Distributions & Normal Distribution

The Central Limit Theorem. Sec. 8.2: The Random Variable. it s Distribution. it s Distribution

Lecture 6: Normal distribution

Midterm Test 1 (Sample) Student Name (PRINT):... Student Signature:... Use pencil, so that you can erase and rewrite if necessary.

Confidence Intervals for the Mean. When σ is known

MLLunsford 1. Activity: Central Limit Theorem Theory and Computations

A random variable X is a function that assigns (real) numbers to the elements of the sample space S of a random experiment.

Math 227 (Statistics) Chapter 6 Practice Test MULTIPLE CHOICE. Choose the one alternative that best completes the statement or answers the question.

2 DESCRIPTIVE STATISTICS

Section 8.4 The Binomial Distribution

Discrete Probability Distribution

A continuous random variable is one that can theoretically take on any value on some line interval. We use f ( x)

Introduction to Business Statistics QM 120 Chapter 6

Example - Let X be the number of boys in a 4 child family. Find the probability distribution table:

Statistics for Business and Economics: Random Variables:Continuous

Section Linear Functions and Math Models

Normal Distribution: Introduction

Elementary Statistics

Chapter 3. Lecture 3 Sections

Section 3.5a Applying the Normal Distribution MDM4U Jensen

CHAPTER 8. Confidence Interval Estimation Point and Interval Estimates

8.2 The Standard Deviation as a Ruler Chapter 8 The Normal and Other Continuous Distributions 8-1

Section 15.0: The Normal Distribution

Section 7-2 Estimating a Population Proportion

Statistics 511 Supplemental Materials

Derived copy of Using the Normal Distribution *

Transcription:

Section 3.4 The Normal Distribution Properties of the Normal Distribution Curve 1. We denote the normal random variable with X = x. 2. The curve has a peak at x = µ. 3. The curve is symmetric about the line x = µ. 4. The curve always lies above the x-axis but approaches the x-axis as x extends indefinitely in either direction. 5. The area under the curve is 1. 6. The Standard Normal distribution has µ = 0 and σ = 1. We denote the standard normal random variable with Z = z. Calculating the Probability of a Normal Random Variable The probability P (a < X < b) that X lies between a and b is the area under the curve between x = a and x = b. This can be found using probability tables but in this class we will use the calculator function normalcdf to calculate probabilities for a Normal random variable. Calculator Steps: Click 2ND, VARS, 2. You should see normalcdf( on your screen. The format is normalcdf(smallest x-value/z-value, biggest x-value/z-value, µ, σ). Use E99 if the biggest x-value/z-value is and E99 if the smallest x-value/z-value is. To get E99 click 2ND,,. Note: We never use normalpdf in this class.

1. Answer the following: (a) Choose a sketch of the area under the standard normal curve corresponding to P (0.29 < Z < 1). (a) (b) (c) (d) (b) Find the value of the probability of the standard normal variable Z corresponding to P (0.29 < Z < 1). (Give answer to four decimal places.) 2. Find the indicated probability given that Z is a random variable with a standard normal distribution. (Round answer to four decimal places.) P (Z 0.71) 3. Suppose X is a normal random variable with µ = 376 and σ = 17. Find the following probabilities. (Give answers to four decimal places.) (a) P (X < 409) 2 Spring 2018, Maya Johnson

(b) P (389 < X < 411) (c) P (X > 409) Inverse Normal Distribution: Suppose we are given the probability or area under the curve and are asked to find the random variable value that corresponds to the given probability. To solve this problem we will use the calculator function invnorm. Calculator Steps: Click 2ND, VARS, 3. You should see invnorm( on your screen. The format is invnorm(probability to the left of X = x or Z = z, µ, σ). 4. Let Z be the standard normal variable. Find the values of a that satisfy the given probabilities. (Give answers to four decimal places.) (a) P (Z > a) = 0.2829 (b) P ( a < Z < a) = 0.4441 3 Spring 2018, Maya Johnson

(c) P (Z < a) = 0.2441 5. Find the indicated quantities given that X is a normal random variable with a mean of 40 and a standard deviation of 10. (Round answers to four decimal places.) (a) Find the value of b such that P (X b) = 0.1515 (b) Find the values of A and B such that P (A X B) = 0.9146 if A and B are symmetric about the mean. 4 Spring 2018, Maya Johnson

6. On the average, a student takes 119 words/minute midway through an advanced court reporting course at the American Institute of Court Reporting. Assuming that the dictation speeds of the students are normally distributed and that the standard deviation is 24 words/minute, find the probability that a student randomly selected from the course can make dictation at the following speeds. (Give answers to four decimal places.) (a) more than 167 words/minute (b) between 143 and 167 words/minute (c) less than 71 words/minute 7. The weight of topsoil sold in a week is normally distributed with a mean of 800 tons and a standard deviation of 32 tons. (Round answers to two decimal places.) (a) What percentage of weeks will sales exceed 864 tons? (b) What percentage of weeks will sales be less than 784 tons? (c) What percentage of weeks will sales be between 752 and 816 tons? 5 Spring 2018, Maya Johnson

8. A teacher wishes to curve a test whose grades were normally distributed with a mean of 60 and standard deviation of 15. The top 10% of the class will get an A, the next 30% of the class will get a B, the next 35% of the class will get a C, the next 20% of the class will get a D and the bottom 5% of the class will get an F. Find the cutoff for each of these grades. (Round answers to two decimal places.) (a) The A cutoff is a grade of (b) The B cutoff is a grade of (c) The C cutoff is a grade of (d) The D cutoff is a grade of 6 Spring 2018, Maya Johnson