Concept explainers
(a)
To find: The degree of freedom and outline the ANOVA table with the sources of variance.
(a)

Answer to Problem 8E
Solution: The degree of freedom for factor sex is 1 and for age, the degree of freedom is 2. The degree of freedom of interaction factor is 2.
Explanation of Solution
Calculation: For the provided data, the error term can be calculated as:
The degree of freedom for Sex can be calculated as:
The degree of freedom for Age can be calculated as:
The degree of freedom for Interaction can be calculated as:
The ANOVA table with different sources of variance and degree of freedom is as follows:
Sources |
Degree of freedom |
Sex |
1 |
Age |
2 |
Interaction |
2 |
Error |
60 |
Total |
65 |
(b)
To find: The degree of freedom and outline the ANOVA table with the sources of variance.
(b)

Answer to Problem 8E
Solution: The degree of freedom for week after harvest is 4 and for amount of water, the degree of freedom is 1. The degree of freedom of interaction factor is 4.
Explanation of Solution
Calculation: For the provided data, the error term can be calculated as:
The degree of freedom for Week after harvest can be calculated as:
The degree of freedom for Amount of water can be calculated as:
The degree of freedom for Interaction can be calculated as:
The ANOVA table with different sources of variance and degree of freedom is as follows:
Sources |
Degree of freedom |
Week after harvest |
4 |
Amount of water |
1 |
Interaction |
4 |
Error |
20 |
Total |
29 |
(c)
To find: The degree of freedom and outline the ANOVA table with the sources of variance.
(c)

Answer to Problem 8E
Solution: The degree of freedom for factor mixture is 5 and for freezing/thawing, the degree of freedom is 2. The degree of freedom of interaction factor is 10.
Explanation of Solution
Calculation: For the provided data, the error term can be calculated as:
The degree of freedom for Mixture can be calculated as:
The degree of freedom for freezing /thawing can be calculated as:
The degree of freedom for Interaction can be calculated as:
The ANOVA table with different sources of variance and degree of freedom is as follows:
Sources |
Degree of freedom |
Mixture |
5 |
freezing/thawing |
2 |
Interaction |
10 |
Error |
36 |
Total |
53 |
(d)
To find: The degree of freedom and outline the ANOVA table with the sources of variance.
(d)

Answer to Problem 8E
Solution: The degree of freedom for factor different colored tags is 3 and for the type of buyers, degree of freedom is 1. The degree of freedom of interaction factor is 3.
Explanation of Solution
Calculation: For the provided data, the error term can be calculated as:
The degree of freedom for different colored tags can be calculated as:
The degree of freedom for the type of buyers can be calculated as:
The degree of freedom for Interaction can be calculated as:
The ANOVA table with different sources of variance and degree of freedom is as follows:
Sources |
Degree of freedom |
Different colored tags |
3 |
Type of buyers |
1 |
Interaction |
3 |
Error |
130 |
Total |
137 |
Want to see more full solutions like this?
Chapter 13 Solutions
EBK INTRODUCTION TO THE PRACTICE OF STA
- Show all workarrow_forwardplease find the answers for the yellows boxes using the information and the picture belowarrow_forwardA marketing agency wants to determine whether different advertising platforms generate significantly different levels of customer engagement. The agency measures the average number of daily clicks on ads for three platforms: Social Media, Search Engines, and Email Campaigns. The agency collects data on daily clicks for each platform over a 10-day period and wants to test whether there is a statistically significant difference in the mean number of daily clicks among these platforms. Conduct ANOVA test. You can provide your answer by inserting a text box and the answer must include: also please provide a step by on getting the answers in excel Null hypothesis, Alternative hypothesis, Show answer (output table/summary table), and Conclusion based on the P value.arrow_forward
- A company found that the daily sales revenue of its flagship product follows a normal distribution with a mean of $4500 and a standard deviation of $450. The company defines a "high-sales day" that is, any day with sales exceeding $4800. please provide a step by step on how to get the answers Q: What percentage of days can the company expect to have "high-sales days" or sales greater than $4800? Q: What is the sales revenue threshold for the bottom 10% of days? (please note that 10% refers to the probability/area under bell curve towards the lower tail of bell curve) Provide answers in the yellow cellsarrow_forwardBusiness Discussarrow_forwardThe following data represent total ventilation measured in liters of air per minute per square meter of body area for two independent (and randomly chosen) samples. Analyze these data using the appropriate non-parametric hypothesis testarrow_forward
- MATLAB: An Introduction with ApplicationsStatisticsISBN:9781119256830Author:Amos GilatPublisher:John Wiley & Sons IncProbability and Statistics for Engineering and th...StatisticsISBN:9781305251809Author:Jay L. DevorePublisher:Cengage LearningStatistics for The Behavioral Sciences (MindTap C...StatisticsISBN:9781305504912Author:Frederick J Gravetter, Larry B. WallnauPublisher:Cengage Learning
- Elementary Statistics: Picturing the World (7th E...StatisticsISBN:9780134683416Author:Ron Larson, Betsy FarberPublisher:PEARSONThe Basic Practice of StatisticsStatisticsISBN:9781319042578Author:David S. Moore, William I. Notz, Michael A. FlignerPublisher:W. H. FreemanIntroduction to the Practice of StatisticsStatisticsISBN:9781319013387Author:David S. Moore, George P. McCabe, Bruce A. CraigPublisher:W. H. Freeman





