Presentation is loading. Please wait.

Presentation is loading. Please wait.

3-2Measures of Variation Note: This PowerPoint is only a summary and your main source should be the book. Instructor: Alaa saud.

Similar presentations


Presentation on theme: "3-2Measures of Variation Note: This PowerPoint is only a summary and your main source should be the book. Instructor: Alaa saud."— Presentation transcript:

1 3-2Measures of Variation Note: This PowerPoint is only a summary and your main source should be the book. Instructor: Alaa saud

2 A testing lab wishes to test two experimental brands of outdoor paint to see how long each will last before fading. The testing lab makes 6 gallons of each paint to test. Since different chemical agents are added to each group and only six cans are involved, these two groups constitute two small populations. The results (in months)are shown. Find the mean of each group. Example 3-18: Brand ABrand B 1035 6045 5030 35 40 2025 Note: This PowerPoint is only a summary and your main source should be the book.

3  The mean for brand B is  The mean for brand A is Note: This PowerPoint is only a summary and your main source should be the book.

4 1- Range Note: This PowerPoint is only a summary and your main source should be the book.

5 Example 3-19: Find the ranges for the paints in Example 3-18.  The range for brand A is  The range for brand B is R= 60 – 10 = 50 months R= 45 – 25 = 20 months Note: This PowerPoint is only a summary and your main source should be the book. The range is the difference between the highest and lowest values in a data set.

6 2-Variance Note: This PowerPoint is only a summary and your main source should be the book.

7  The variance is the average of the squares of the distance each value is from the mean. population Sample Note: This PowerPoint is only a summary and your main source should be the book.

8 3-The standard deviation Note: This PowerPoint is only a summary and your main source should be the book.

9 population Sample The standard deviation is the square root of the variance. The standard deviation is a measure of how spread out your data are.

10 Uses of the Variance and Standard Deviation o To determine the spread of the data. o To determine the consistency of a variable. o To determine the number of data values that fall within a specified interval in a distribution (Chebyshev’s Theorem). o Used in inferential statistics.

11 Example 3-21: Find the variance and standard deviation for the data set for brand A paint in Example 3-18. Solution :. Brand A Brand B 1035 6045 5030 35 40 2025 Note: This PowerPoint is only a summary and your main source should be the book.

12 Find the sample variance and standard deviation for: 9,10,14,7,8,3 Example 3-21: Note: This PowerPoint is only a summary and your main source should be the book. Or,

13 Note: This PowerPoint is only a summary and your main source should be the book.

14 Coefficient of Variation Note: This PowerPoint is only a summary and your main source should be the book.

15  A statistic that allows you to compare standard deviations when the units are different, as in this example is called the coefficient of variation population Sample Note: This PowerPoint is only a summary and your main source should be the book. The coefficient of variation, denoted by Cvar is the standard deviation divided by the mean. T he result is expressed as a percentage.

16 Example 3-25: The mean of the number of sales of cars over a 3- month period is 87 and the standard deviation is 5. The mean commission is $5225 and standard deviation is $773. Compare the variations of the two. Note: This PowerPoint is only a summary and your main source should be the book.

17 Example 3-25: The mean for the number of pages of sample of women’s fitness magazines is 132 with a variance of 23.The mean for the number of advertisements of sample of women’s fitness magazines is 182 with a variance of 62. Compare the variations. Note: This PowerPoint is only a summary and your main source should be the book.

18

19 , approximately 68% Then the data fall between 570 and 390, approximately 95% Then the data fall between 660 and 300 approximately 99.7% Then the data fall between 750 and 210 Note: This PowerPoint is only a summary and your main source should be the book.

20 Exercises: Q(1):When a distribution is bell-shaped, approximately what percentage of data values will fall within 1 standard deviation of the mean? A) 99.7% B) 95% C) 50% D) 68% Q(2):Math exam scores have a bell-shaped distribution with a mean of 100 and standard deviation of 15. use the empirical rule to find the percentage of students with scores between 70 and 130? A) 99.7% B) 95% C) 50% D) 68% Q(3):A set of 49 data values has the variance 36, then the standard deviation is......... A) 0.73 B) 6 C) 7 D) 1.36 Note: This PowerPoint is only a summary and your main source should be the book.


Download ppt "3-2Measures of Variation Note: This PowerPoint is only a summary and your main source should be the book. Instructor: Alaa saud."

Similar presentations


Ads by Google