### Analysis of Regional Sales DataA sales analyst is evaluating whether there is a variation in the mean monthly sales across four distinct sales regions within a company. Sales representatives from each region have been selected randomly to submit their sales amounts (in thousands of dollars) for the past month. The objective is to determine, with a 1% significance level, if there is a statistically significant difference in average sales between any of the regions.#### Sales Data by Region| Region | Sales (in Thousands) ||--------|----------------------|| North | 19 || North | 19 || North | 21 || North | 39 || East | 22 || East | 21 || East | 23 || East | 27 || East | 30 || South | 20 || South | 25 || South | 16 || South | 20 || West | 28 || West | 27 || West | 19 || West | 23 || West | 12 |#### Statistical Analysis Inputs- **Factor Variable**: (Select the appropriate factor)- **Response Variable**: (Select the appropriate response)#### Test Statistics and Decision Making- **Test Statistic**: (Provide calculation/result)- **P-Value**: (Provide result)#### Decision Rule:- Based on the P-value and test statistic, a decision will be made using the 1% significance level.#### Results Interpretation- **Did Something Significant Happen?**: (Select Yes/No)- **Conclusion**: There is (or isn’t) enough evidence to conclude that at least one region's average sales differ from the others.This analysis will help in understanding if regional differences in sales warrant strategic changes or adjustments in approach.

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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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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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These data are the number of on-campus burglaries reported in a given year for nine western Pennsylvania universities. 16 10 4 16 9 8 12 5 16 For the above data set, find the mean, median, midrange, and mode. Round to one decimal place, if necessary.
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.
Find the (a) mean, (b) median, (c) mode, and (d) midrange for the data and then (e) answer the given questions. Listed below are selling prices (dollars) of TVs that are 60 inches or larger and rated as a "best buy" by a popular magazine. Are the resulting statistics representative of the population of all TVs that are 60 inches and larger? If you decide to buy one of these TVs, what statistic is most relevant, other than the measures of central tendency? 1200, 1250, 1300, 1250, 1700, 1850, 1250, 1800, 1850, 1150, 1250, 1450
A grocery store manager wants to estimate the mean purchase total for all customers that shop at her store. To do so, she selects a random sample of 30 receipts from the large list of all receipts that are stored in the computer. Here is a dotplot of the results. The mean purchase total is $93.80 and the median purchase total is $75.80. The store manager investigates and learns that the customer that made a $500 purchase had not purchased groceries, but rather a $500 gift card. Because this customer’s purchase was not typical, the manager decides to exclude this total from the data set. How will removing the $500 purchase from the data set affect the value of the mean and the median? (A) The mean will decrease more than the median. (B) The mean will decrease less than the median. (C) The mean will stay the same, but the median will decrease. (D) The mean will increase more than the median. (E) The mean will increase, but not as much as the median.
Some Woodside customers were asked the age of their houses. The table summarizes the results. Age of Home Number of Midpoint (years) Customers 0-8 17 9-17 10 18 26 27 35 4. What are the mean and median of the age of houses? O mean 14 and median 13 O mean 12 and median 22 O mean 13 and median 13 O mean 12 and median 13
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The cost per load (in cents) of 35 laundry detergents tested by Consumer Reports is shown here. Frequency Class 13-19 20-26 27-33 34-40 41-47 48-54 55-61 62-68 623543 8 4 Find the mean of the data set. If necessary, round to the nearest whole number.

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