### 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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Below are the weekly sales of Erikli and Hayat bottled waters in a market store given. Find a five-figure summary of Erikli and Hayat's weekly sales and compare the trends and variability of the two.
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Suppose that a polling company surveyed 600 people about how much time they spend watching television each day. The results of this survey were compiled and used to create this relative frequency histogram. Assume that all percentages shown in the histogram are whole numbers. Each of the bars in this histogram includes only the left endpoint of the class except for the last bar, which also includes the right endpoint. What percentage of respondents said that they watch television at least six hours per day? How many respondents said that they watch television between three and five hours per day?
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Consider the following data representing the price of refrigerators (in dollars). 1260, 1446, 1106, 1269, 1443, 1424, 1118, 1132, 1177, 1115, 1156, 1262, 1215, 1236, 1243, 1169, 1437, 1191, 1401, 1439, 1365 Answer Class 1093-1152 1153-1212 1213-1272 1273-1332 1333-1392 1393-1452 Price of Refrigerators (in Dollars) Frequency Relative Frequency Cumulative Frequency Step 3 of 4: Calculate the relative frequency of the sixth class. Determine your answer as a simplified fraction. Tables Keybe Previous
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Consider the following data representing the price of refrigerators (in dollars). 1260, 1446, 1106, 1269, 1443, 1424, 1118, 1132, 1177, 1115, 1156, 1262, 1215, 1236, 1243, 1169, 1437, 1191, 1401, 1439, 1365 Answer Class 1093-1152 1153-1212 1213-1272 1273-1332 1333-1392 1393-1452 Step 2 of 4: Determine the frequency of the first class. Price of Refrigerators (in Dollars) Frequency Relative Frequency Cumulative Frequency Tables
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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Make a graphical display of the following data sets, choosing nay type of display that you feel is appropriate. Explain your choice of display and discuss any interesting features in the data. The following table shows the perscentages of American men and women who had never been married in selected years since 1960. Percentages of Adults Who Never Married Year Women Men 1960 19.0% 25.3% 1980 22.5% 29.6% 2000 21.5% 31.3% 2015 28.9% 34.8%

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