Math 140 Introductory Statistics. First midterm September
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1 Math 140 Introductory Statistics First midterm September
2 Box Plots Graphical display of 5 number summary Q1, Q2 (median), Q3, max, min
3 Outliers If a value is more than 1.5 times the IQR from the nearest quartile it may be an outlier Look at the speeds of the animals. Is the cheetah an outlier? Is the pig an outlier? Is the squirrel an outlier? Is the lion an outlier? Which animal is the largest non-outlier?
4 Outliers If a value is more than 1.5 times the IQR from the nearest quartile it may be an outlier Q1=30 Q2=37 Q3 =42
5 Outliers If a value is more than 1.5 times the IQR from the nearest quartile it may be an outlier IQR = *IQR = 18 Q *IQR = = 60 Q1-1.5*IQR = = 12
6 Outliers IQR = *IQR = 18 Q *IQR = = 60 Q1-1.5*IQR = = 12 Cheetah = 70 Pig = 11 Squirrel = 12 Lion = 50
7 Modified box plot Graphical display of 5 number summary Q1, Q2, Q3, max, min and outliers Modified box plot
8 Box plots Box Plots are useful when Plotting a single quantitative variable Want to compare shape, center, and spread of two or more distributions. The distribution has a large number of values Individual values do not need to be identified. We may want to identify outliers.
9 Spread - Deviation Deviation of a value x is how far it is from the mean x - x This value is different for every data point x and can be negative or positive
10 Standard deviation
11 Standard deviation Data 2, 7, 8, 12, 12, 19 n=? average x =? x x-x (x-x) 2 total sum = 60
12 Standard deviation Find σ n and σ n-1
13 Standard deviation The square of the standard deviation is the variance
14 Standard deviation The standard deviation is considered to be the typical deviation from the mean The larger the SD, the more spread out the data is
15 What if we have a frequency table?
16 What if we have a frequency table? To calculate the mean we d have to sum Or use the formula above
17 What if we have a frequency table? [(0*3) + (1*3) + (3*2) +.]/95
18 Recentering and Rescaling Recentering a data set Add the same number c to all values The shape or spread do not change. It slides the entire distribution by the amount c, adding c to the median and the mean. Rescaling a data set Multiply all values by the same positive number d The basic shape doesn t change. It stretches or shrinks the distribution, multiplying the spread (IQR or SD) by d and multiplying the center (median or mean) by d
19 Recentering and Rescaling Want to move to Celsius C = 5/9 (F-32)
20 Recentering original subtract 32
21 Rescaling original subtract 32 Multiply by 5/9
22 Rescaling original subtract 32 Multiply by 5/9
23 A problem for you Suppose a U.S. dollar is worth 14.5 Mexican pesos. a. A set of prices, in U.S. dollars, has mean $20 and standard deviation $5. Find the mean and standard deviation of the prices expressed in pesos. b. Another set of prices, in Mexican pesos, has a median of pesos and quartiles of 72.5 pesos and 29 pesos. Find the median and quartiles of the same prices expressed in U.S. dollars.
24 The influence of outliers A summary statistic is resistant to outliers if it does not change very much when an outlier is removed. sensitive to outliers if the summary statistic is greatly affected by the removal of outliers.
25 The influence of outliers Viewers for the finale of the most popular TV shows Who are the outliers? How do mean and SD change if we remove them?
26 The influence of outliers
27 Normal distributions
28 Normal distributions The normal distribution tells us how averages and SD behave when you repeat a random process Nice property: A normal distribution is determined by its mean and standard deviation! (If you know mean and SD you know everything)
29 An example The distribution of the SAT scores for the University of Washington was roughly normal in shape, with mean 1055 and standard deviation What percentage of scores were 920 or below? 2. What SAT score separates the lowest 25% of the SAT scores from the rest?
30 An example The distribution of the SAT scores for the University of Washington was roughly normal in shape, with mean 1055 and standard deviation What percentage of scores were 920 or below? 2. What SAT score separates the lowest 25% of the SAT scores from the rest? We already know that 68% of data is between 855 and 1255
31 Unknown percentage problem 1. What percentage of scores were 920 or below? Given z (a score), find the percentage
32 Unknown value problem 2. What SAT score separates the lowest 25% of the scores from the rest? Given the percentage P, find the score z
33 Standard normal distribution The normal distribution with mean =0 and SD = 1
34 Standard normal distribution Any normal distribution can be rescaled or recentered to give you the normal distribution STANDARDIZING or CONVERTING TO STANDARD UNITS
35 Given the score z find P Unknown percentage Table A. Page 759 Use the units and the first decimal to locate the row and the closest hundredths digits to locate the column. The number found is the percentage of the number of value.
36 Hk Page 73, E49, E50, E51, E52, E55, E59, E60
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