A sales analyst wants to determine whether there is a difference in the mean monthly sales ofa company's four sales regions. Several salespersons from each region are randomly selectedand they provide their sales amount (in thousands of dollars) for the previous month. Using a1% significance, can we conclude at least one region is different on average?North East South West272816263823222919|171626292525342623What is the factor variable? RegionWhat is the response variable? Sales AmountTest statistic:P-value:

The data for the sales amount of several regions for the previous month is provided.NorthEastSouth…

Answered: A sales analyst wants to determine…

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

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What is the relationship between the attendance at a major league ball game and the total number of runs scored? Attendance figures (in thousands) and the runs scored for 10 randomly selected games are shown below. Attendance Runs 52 12 39 34 7 6 30 4 10 6 20 60 14 5 14 36 16 5 9 6
A sales manager collected the following data on annual sales for new customer accounts and the number of years of experience for a sample of 10 salespersons. Years of Annual Salesperson Experience Sales ($1000s) 80 81 82 1 2 3 4 5 6 7 8 9 1 2 4 6 7 7 8 10 12 14 101 107 102 103 109 104 10 119 The data on y = annual sales ($1000s) for new customer accounts and = number of years of experience for a sample of 10 salespersons provided the estimated regression equation ŷ = 78.07 +2.92€. For these data = 7.1, Σ(x₁ - x)² = 154.90, and = 5.8255. a. Develop the 90% confidence interval for the mean annual sales ($1000s) for all salespersons with thirteen years of experience. ($ X) (to 2 decimals) b. The company is considering hiring Tom Smart, a salesperson with thirteen years of experience. Develop a 90% prediction interval of annual sales ($1000s) for Tom Smart. ) (to 2 decimals) ($ c. Discuss the differences in your answers to parts (a) and (b). As expected, the prediction interval is much…
Which set of variables has correlation and causation? A. distance traveled and money spent on gas B. distance traveled and money spent on snacks C. distance traveled and number of drinks consumed D. distance traveled and time spent listening to music
Statistics Question
You wish to determine if there is a negative linear correlation between the age of a driver and the number of driver deaths. The following table represents the age of a driver and the number of driver deaths per 100,000. Use a significance level of 0.01 and round all values to 4 decimal places. Driver Age Number of Driver Deaths per 100,000 55 20 38 21 80 32 35 20 54 29 80 31 74 79 60 18 Ho: p = 0 Ha: p=0 Find the Linear Correlation Coefficient Find the p-value p-value = The p-value is Greater than o Less than (or equal to) a The p-value leads to a decision to Do Not Reject Ho Accept Ho Reject Ho The conclusion is There is a significant positive linear correlation between driver age and number of driver deaths. There is a significant negative linear correlation between driver age and number of driver deaths. There is a significant linear correlation between driver age and number of driver deaths. There is insufficient evidence to make a conclusion about the linear correlation between…
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what is the mean of the data set?
(a) TV stations use ratings to decide which shows to keep or cancel. Therefore, the A. C. Nielsen Company collects data on the TV viewing habits of Americans and publishes the information in Nielsen Report on Television. Suppose that you want to use a paired sample to decide whether the mean viewing times of married men and married women differ: 1. Identify the variable. 2. Identify the two populations. 3. Identify the pairs. 4. Identify the paired-difference variable.
3. Correlation and linear regression
A food truck owner recorded the temperature at noon, in degrees Fahrenheit, and the number of bowls of soup sold during the lunch hour for a random sample of 5 days. The data are shown in the following table. Temperature (degrees Fahrenheit) 57 75 43 68 67 Number sold 17 12 20 8 13 The mean temperature of the sample is 62 degrees Fahrenheit, and the mean number sold is 14. What is the correlation between the temperature and the number sold? A -0.85 B -0.68 0.68 D 0.73 E 0.85
A shopper at a local supermarket has spent these amounts in his last eight trips to the store: $32.92, 14.14, 30.80, 28.34, 75.58, 36.33, 33.51, and 22.94. Which statement about deleting the amount spent of $75.58 is false? a. The median of this data set may be more representative of the mean. b. The value of the mean would be reduced by $5.89. c. The value of the mean would not change. d. The value of the mean would be greatly reduced.
11. A manager of a department times how many hours each person works within her department. 43 42 24 50 41 28 47 47 39 59 29 31 39 42 What is the mean and median of the data? Group of answer choices Mean = 40.1; Median = 41.5 Mean = 40.0; Median = 42.5 Mean = 40; Median = 42 Mean = 40.8; Median = 47

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