You are a sales manager for a grocery store, and you want to see if the introductionof a new sales promotion will increase the sales in your store. To do so, you decidedto create an experiment by giving a small sample of customers the promotion beforeexpanding it to a larger customer base. You gave 24 people the promotion, and alsoobserved the sales of 24 people who did not get the promotion as a control group.You found those who received the promotion to have an average monthly sales of$469.86, with a sample standard deviation of $47.15. You found those who did notreceive the promotion had an average monthly sales of $391.67, with a samplestandard deviation of $75.46.Suppose you want to create a confidence interval forpromotionno promotion What is the standard error of the difference.between sample averages in your analysis?Note:1- Only round your final answer. Round your final answer to two decimal places.Your Answer:

Given that Sample sizes n1=24 , n2=24 S1=47.15 s2=75.46

Answered: You are a sales manager for a grocery…

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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It is often useful for retailers to determine why their potential customers chose to visit their store. Possible reasons include advertising, advice from a friend, or previous experience. To determine the effect of full-page advertisements in the local newspaper, the owner of an electronic-equipment store asked randomly selected people who visited the store whether they had seen the ad. He also determined whether the customers had bought anything, and if so, how much they spent. Among the respondents who saw the ad, 49 made an average purchase of $97.38 with a variance of $622. Among the respondents who did not see the ad, 21 made an average purchase of $92.01 with a variance of $283.3. Can the owner conclude that customers who see the ad spend more than those who do not see the ad (among those who make a purchase) at 5% significance level? Population: One Two Multiple Formula #: Answer Hypothesis Null H0 : (μ, π, σ², μd, μ1 - μ2, π1- π2, σ₁²…
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Returning to a previously described scenario: Suppose that a scientist is interested in determining if the proportion of females who prefer Diet Coke to regular Coke is different from the proportion of males who prefer Diet Coke to regular Coke. They randomly sample 219 people and ask them if they prefer Diet Coke to regular Coke, and also record if they are a male or a female. Their study results in the following table: males females total sample size 112 107 219 number of successes 56 73 129 sample proportion 0.50 0.68 0.59 What differences in sample proportions would be considered “as or more unusual” if the null hypothesis is true (i.e. further away from the hypothesized difference than the observed difference is from the hypothesized difference)? To be clear we are referring to absolute difference regardless of if it is negative or positive. Differences greater than 0.18 Differences greater than 0…
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A clinical psychologist is interested in the effect of a new treatment for treating depression. She randomly divides her clients into two groups. One group receives the new treatment and the other group receives the old treatment (control group). At the end of treatment, she assesses the severity of their depression on a scale ranging from 0 to 20 (higher scores indicate greater depression). Was there a significant difference in depression scores between the two treatments? New Treatment Old Treatment 2 7 5 10 3 6 8 8 11 4 4 8 6 10 4 4
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Beer and blood alcohol content. Many people believe that gender, weight, drinking habits, and many other factors are much more important in predicting blood alcohol content (BAC) than simply considering the number of drinks a person consumed. Here we examine data from sixteen student volunteers at Ohio State University who each drank a randomly assigned number of cans of beer. These students were evenly divided between men and women, and they differed in weight and drinking habits. Thirty minutes later, a police officer measured their blood alcohol content (BAC) in grams of alcohol per deciliter of blood. The scatterplot and regression table summarize the findings. (a) Describe the relationship between the number of cans of beer and BAC.(b) Write the equation of the regression line. Interpret the slope and intercept in context.(c) Do the data provide strong evidence that drinking more cans of beer is associated with an increase inblood alcohol? State the null and alternative…

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