Download presentation

1
**BUS 220: Elementary Statistics**

Chapter 3: Numerical Measures

2
Chapter 3: GOALS Calculate the measures of central tendency including arithmetic mean, weighted mean, median, mode, and geometric mean. Understand the advantages and disadvantages of those measures. Identify whether a distribution is skewed or symmetric by looking at the positions of mean, median and mode. 3/28/2017

3
Chapter 3: GOALS… Calculate the measures of dispersion including range, mean deviation, variance, and standard deviation. Understand the characteristics, advantages, and disadvantages of those measures. Understand the Chebshev’s theorem and the empirical rule as they are applied to a set of observation. 3/28/2017

4
**Numerical Descriptive Measures**

Measures of central tendency Arithmetic Mean Weighted Mean Median Mode Geometric Mean Measures of Dispersion Range Mean Deviation Variance Standard Deviation 3/28/2017

5
Arithmetic Mean For ungrouped data, the population/sample arithmetic mean is the sum of all the population/sample values divided by the total number of values: population mean sample mean 3/28/2017

6
**EXAMPLE – Population Mean**

3/28/2017

7
EXAMPLE – Sample Mean 3/28/2017

8
**Properties of the Arithmetic Mean**

Every set of interval-level and ratio-level data has a mean. All the values are included in computing the mean. The mean is unique. The sum of the deviations of each value from the mean is zero. 3/28/2017

9
Weighted Mean The weighted mean of a set of numbers X1, X2, ..., Xn, with corresponding weights w1, w2, ...,wn, is computed from the following formula: 3/28/2017

10
**EXAMPLE – Weighted Mean**

The Carter Construction Company pays its hourly employees $16.50, $19.00, or $25.00 per hour. There are 26 hourly employees, 14 of which are paid at the $16.50 rate, 10 at the $19.00 rate, and 2 at the $25.00 rate. What is the mean hourly rate paid the 26 employees? 3/28/2017

11
The Median The Median is the midpoint of the values after they have been ordered from the smallest to the largest. There are as many values above the median as below it in the data array. For an even set of values, the median will be the arithmetic average of the two middle numbers. 3/28/2017

12
**EXAMPLES - Median The ages for a sample of five college students are:**

21, 25, 19, 20, 22 Arranging the data in ascending order gives: 19, 20, 21, 22, 25. Thus the median is 21. The heights of four basketball players, in inches, are: 76, 73, 80, 75 Arranging the data in ascending order gives: 73, 75, 76, 80. Thus the median is 75.5 3/28/2017

13
**Properties of the Median**

It is not affected by extremely large or small values and is therefore a valuable measure of central tendency when such values occur. It can be computed for ratio-level, interval-level, and ordinal-level data. It can be computed for an open-ended frequency distribution if the median does not lie in an open-ended class. 3/28/2017

14
The Mode The mode is the value of the observation that appears most frequently. 3/28/2017 BUSA320/Sophea Chea

15
Example - Mode 3/28/2017

16
The Geometric Mean Useful in finding the average change of percentages, ratios, indexes, or growth rates over time. Has a wide application in business and economics in finding the percentage changes in sales, salaries, or economic figures, such as the GDP and interest rate which compound or build on each other. Will always be less than or equal to the arithmetic mean. 3/28/2017

17
**EXAMPLE – Geometric Mean**

The return on investment earned by Atkins construction Company for four successive years was: 30, 20, -40, and 200 percent. The geometric mean rate of return on investment is: 3/28/2017

18
**Dispersion: Why Study Dispersion?**

Mean or the median, only describes the center of the data, but it does not tell us anything about the spread of the data. For example, if your nature guide told you that the river ahead averaged 3 feet in depth, would you want to wade across on foot without additional information? Probably not. You would want to know something about the variation in the depth. A second reason for studying the dispersion in a set of data is to compare the spread in two or more distributions. 3/28/2017

19
**Samples of Dispersions**

3/28/2017

20
**Measures of Dispersion**

Range Mean Deviation Variance and Standard Deviation 3/28/2017

21
**EXAMPLE – Range Range = Largest – Smallest value = 80 – 20 = 60**

The number of cappuccinos sold at the Starbucks location in the Orange Country Airport between 4 and 7 p.m. for a sample of 5 days last year were 20, 40, 50, 60, and 80. Determine the range for the number of cappuccinos sold. Range = Largest – Smallest value = 80 – 20 = 60 3/28/2017

22
**EXAMPLE – Mean Deviation**

Determine the mean deviation for the number of cappuccinos sold. 3/28/2017 BUSA320/Sophea Chea

23
**Exercise 38—return on investment of 8 companies**

10.6 12.6 14.8 18.2 12.0 12.2 15.6 Range =7.6% Arithmetic mean 13.85% Mean deviation 2.0% Interpret the results: The ROI or the eight companies ranges from 10.6 to 18.2 which is 7.6% in range. On the average the return on investment deviates 2% from the mean of 13.85%. 3/28/2017 BUSA320/Sophea Chea

24
**EXAMPLE – Variance and Standard Deviation**

The number of traffic citations issued during the last five months in Beaufort County, South Carolina, are 38, 26, 13, 41, and 22. What is the population variance? 3/28/2017

25
**EXAMPLE – Sample Variance**

The hourly wages for a sample of part-time employees at Home Depot are: $12, $20, $16, $18, and $19. What is the sample variance? 3/28/2017 BUSA320/Sophea Chea

26
**Using Excel for Descriptive Statistics**

Table 2–4 in Chapter 2 shows the prices of the 80 vehicles sold last month at Whitner Autoplex in Raytown, Missouri. Determine the mean and the median selling price. The mean and the median selling prices are reported in the following Excel output. There are 80 vehicles in the study. So the calculations with a calculator would be tedious and prone to error. 3/28/2017 BUSA320/Sophea Chea

27
**Read the lecture note on how to activate the analysis ToolPak for Excel**

3/28/2017

28
**The Relative Positions of the Mean, Median and the Mode**

3/28/2017 BUSA320/Sophea Chea

29
**Real Estate Data from Jacksonville, FL**

3/28/2017 BUSA320/Sophea Chea

30
**Real Estate Data from Jacksonville, FL**

3/28/2017 BUSA320/Sophea Chea

31
**Application of Standard Deviation**

Because it is standardized it is meaningful to use standard deviation to compare between two samples E.g. two samples of productions rate at two plants has approximately the same mean, how if one has std deviation of 10 and another is 7 we can conclude that the first plant has more disperse rate of productions 3/28/2017 BUSA320/Sophea Chea

32
**Application of Standard Deviation: Chebyshev’s Theorem**

For any set of observations (sample or population), the proportion (percentage) of the values that lie within k standard deviations of the mean is at least 1 – 1/k2 percent. where k is any constant greater than 1 3/28/2017 BUSA320/Sophea Chea

33
Chebyshev’s Theorem The arithmetic mean biweekly amount contributed by the Dupree Paint employees to the company’s profit-sharing plan is $51.54, and the standard deviation is $7.51. At least what percent of the distributions lie within plus 3.5 standard deviations and minus 3.5 standard deviations of the mean? 3/28/2017

34
**Application of Standard Deviation: The Empirical Rule**

3/28/2017 BUSA320/Sophea Chea

Similar presentations

Presentation is loading. Please wait....

OK

Describing Data: Numerical Measures

Describing Data: Numerical Measures

© 2018 SlidePlayer.com Inc.

All rights reserved.

To make this website work, we log user data and share it with processors. To use this website, you must agree to our Privacy Policy, including cookie policy.

Ads by Google