Question

In: Statistics and Probability

A consumer researcher wanted to know if customers really are influenced to buy more from sales...

A consumer researcher wanted to know if customers really are influenced to buy more from sales clerks who smile. To test this, clerks at eight stores in a large Canadian clothing chain were given special instructions at the start of a week and then sales over the week were recorded. Four of the stores were randomly selected to have the clerks receive instructions to be especially courteous and to smile a lot. Clerks at four other stores were simply instructed to be especially courteous. Sales (in thousands of dollars) for the four stores in the smile condition were 36, 40, 36, and 44; sales for the four stores in the control condition were 40, 31, 27, and 30. Do these results suggest that customers might buy more if they encounter smiling sales clerks? (Use the .05 level.)

Below are questions you should be asking yourself in preparing for the test in class (not to be answered here):

Using the five steps of hypothesis testing, think about "why is this a test for independent means?", "what are the steps involved" and "what is my goal in this exercise? That is, which distribution am I trying to construct so I can get the comparison distribution?"

Question to be answered here:

What is the pooled estimate population variance of the two populations from which your samples come from?

Questions to answer regarding the question above :

1) In the question above, what is the variance of the distribution of means corresponding to the condition in which the clerks smile? (It may help you to draw the steps using the curves to figure out which variance goes with which distribution). Note that the variance is the same for both distribution of means due to the fact that N is the same for both.

2) In the question above, what is SDifference?

3) In the question above, what is tCutoff? (Answer to the three decimal places on this one)

Solutions

Expert Solution


Related Solutions

A sociologist interested in salesperson-consumer interaction wanted to know if customers really are influenced to buy...
A sociologist interested in salesperson-consumer interaction wanted to know if customers really are influenced to buy more from sales clerks who smile. To test this, clerks at eight stores in a large Canadian clothing chain were given special instructions at the start of a week, and the number of sales over the week were recorded. Four of the stores were randomly selected to have the clerks receive instructions to be especially courteous and to smile a lot. Clerks at four...
A researcher wants to know whether or not a literacy intervention is really helping people read more proficiently.
A researcher wants to know whether or not a literacy intervention is really helping people read more proficiently. She gives a sample of students a pre-test before they start the intervention and then a post-test when they complete it. Conduct a Dependent-Samples t-test using the data below to test the hypothesis that this intervention works.                     Pre-test Post-test   4 10   3 8   4 7   5 10   3 7   4 8 Mean 3.833 8.333...
When a company lets customers buy on credit, the company attracts more customers. Allowing sales on...
When a company lets customers buy on credit, the company attracts more customers. Allowing sales on credit is a part of doing business. However, it is not without risk! The result may be attracting some customers who will never pay the amount they owe to the business. When this money is not paid, the business has an uncollectible account which must be written-off. If a business has too many uncollectible accounts, the business suffers and the end result can spell...
A researcher wanted to know if there is an age difference in the amount of time...
A researcher wanted to know if there is an age difference in the amount of time spent on social media. They collected data from 8 teenagers (13-18 years old) and 8 young adults (21-26 years old); they measured the average number of hours spent using all social media platforms over the course of a day. The mean hours spent on social media for teenage participants was 2.9750 with a variance of 1.0630 and the mean hours spent on social media...
With all the fad diets advertised on TV, a researcher wanted to know if there was...
With all the fad diets advertised on TV, a researcher wanted to know if there was a significant difference in weight loss depending on which new fad diet you were on. Over the course of 2 weeks, a total of 12 male volunteers who weighed the same and had similar lifestyles were broken up into 3 groups: Diet 1, Diet 2, and Diet 3. Conduct an ANOVA on the following table with alpha = 0.5 to determine if at least...
A researcher wanted to know if there was a difference in the effectiveness training results between...
A researcher wanted to know if there was a difference in the effectiveness training results between permanent employees at a business and temporary employees at the same business. The two training methods were in-person training or via videos. After the training, each employee took a test to determine the effectiveness of the training. Draw the correct design for this experiment. (Hint: In the design, it is easier to start off with the training methodology.) Remember to clearly indicate what is...
A researcher wanted to know the determinants of SAT scores in the United States of America....
A researcher wanted to know the determinants of SAT scores in the United States of America. Using data from 4,137 survey respondents, the following equation was estimated: ????̂=    1,028.10 + 19.30ℎ???? −2.19ℎ????2 −45.09?????? −169.81 ????? +62.31??????.????? Standard Error:    (6.29) (3.83) (0.53) (4.29) (12.71) (18.15) R2: 0.0858 n = 4,137 where Sat is the combined SAT score, hsize is the size of the student’s high school graduating class, in hundreds, female is a gender dummy variable, and black is...
A researcher wanted to know if a particular brand was preferred by different age groups. The...
A researcher wanted to know if a particular brand was preferred by different age groups. The researcher observed the data below. Is there a relationship between age and brand? Brand A Brand B Brand C Under 30 120 130 110 30 – 50 77 127 140 50 and older 84 100 98 Which test are you using? What are your H0 (null hypothesis) and Ha (alternative hypothesis)? Calculate your statistic. What decision does this inform you to make and why?...
A researcher wanted to determine if the incidence of influenza was more frequent in Caucasian or...
A researcher wanted to determine if the incidence of influenza was more frequent in Caucasian or Hispanic populations. He decided to investigate by accessing Emergency Room records at a local hospital. He found influenza was 2x times more frequent in Hispanics than in Caucasians. What could be the possible bias associated with the study and how did it influence the findings of the study? (5 points) Describe in detail how would you conduct the above study so that selection bias...
How well do you really know your customers? And how well did they want to know...
How well do you really know your customers? And how well did they want to know you right?
ADVERTISEMENT
ADVERTISEMENT
ADVERTISEMENT