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AP Stat Day 10 68 Days until AP Exam Describing Data with Numbers Box and Whisker Plots Variance and Standard Deviation.

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Presentation on theme: "AP Stat Day 10 68 Days until AP Exam Describing Data with Numbers Box and Whisker Plots Variance and Standard Deviation."— Presentation transcript:

1 AP Stat Day Days until AP Exam Describing Data with Numbers Box and Whisker Plots Variance and Standard Deviation

2 Todays Objectives Content: I can display data in a box and whisker plot and calculate outliers and standard deviation. Language: I can work cooperatively to create a box and whisker plot using class data.

3 Calculating a Mean… In statistics, the mean has a special symbol: which is said x-bar The formula for calculating the mean is: Or, more simply:

4 Calculating a Median Order the numbers from smallest to largest. If the number of observations, n, is odd then the median is the middle number. If the number of observations, n, is even, then the median is the mean of the two middle numbers.

5 Comparing the mean and the median The median is a resistant measure of center. This means that outliers and skewness do not effect the location of the median. The mean is a non-resistant measure of spread. This means that outliers and skewness strongly effect the mean.

6 Skewed Distributions In a perfectly symmetric distribution, the mean median and mode lie in the same place. In a right (positive) or left (negative) skewed distribution, the mean is pulled towards the tail. The mode remains at the highest point of the distribution.

7 Quartiles The median is the center point for a set of data. There is 50% of the data on each side of the median. A quartile contains 25% of a set of data. The first quartile, Q 1, is the median of the bottom half of the data. The third quartile, Q 3, is the median of the upper half of the data.

8 EXAMPLE Find the quartiles of the following data. Begin by ordering the numbers. Find the median. Find the median of the lower numbers. Find the median of the upper numbers. If there is an odd number of observations, leave out the median. If there is an even number of observations, include all numbers in the list (the median is not in the list.

9 The IQR and Outliers The IQR is short for Interquartile Range To calculate IQR, IQR = Q 3 - Q 1 Outliers are calculated using the IQR. The rule for outliers is that if a value is outside 1.5(IQR) then it is an outlier. So, if a value is more than Q (IQR) or less than Q 1 – 1.5(IQR) then it is an outlier.

10 Example Using the data from the last example, determine whether the data contains any outliers.

11 The 5 Number Summary The 5 number summary is the list of values used to create a box and whisker plot. Minimum, Q 1, Median, Q 3, Maximum We have already gathered all of this data, we just need to list it. Ready to use your calculator?

12 Drawing a Box and Whisker Plot Once you have your 5 number summary, drawing a box and whisker plot is easy. Important features: a number line, an x- axis title. The modified box plot

13 Activity On pg. 21, use the information that we gathered on class heights (back of pg 6) to make a box and whisker plot by hand. You may use the calculator for the 5 number summary, but you must make the box and whisker plot by hand. You must check to see if there are any outliers.

14 Box Plots in the Calculator We will use the height data already stored in the calculator from your activity.

15 Variance Variance is a number that shows the variation around the mean. The formula for calculating variance is: or, more simply:

16 Example Find the variance of the following list of numbers: 5, 7, 3, 12, 4 1)Find the mean 2)Find the difference of the mean and each observation 3)Square the differences 4)Sum the difference 5)Divide by n - 1

17 Standard Deviation The standard deviation is the square root of the variance. Find the standard deviation of the previous list of numbers.

18 About Standard Deviation s measures spread about the mean s = 0 only when there is no spread (i.e. all observations have the same value) s, like x-bar, is not resistant! So, outliers or skewness makes s very large.

19 X-bar and s or 5 number summary? If your data is skewed or has strong outliers- use the 5 number summary! If your data is reasonably symmetric and free of outliers- use x-bar and s!

20 Summary (p 22) What numbers make up the 5 number summary? How does a modified box plot differ from a traditional box and whisker plot? If you know a variance, how can you find a standard deviation?

21 Prep Questions (p 23) Have you ever heard of a bell curve? What does it look like (words)? Sketch one. What does probability mean? What is density?


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