Estimated Cohen's d =0.821.90.20Using Cohen's criteria, thed Cohen's d indicates that telling customers they will receive a free whistle is1.44associated with ain the amount they are willing to pay for the hamburger. 11. Effect size and Cohen's dAa AaSuppose a researcher is trying to understand whether people who purchase fast-food hamburgers would be willing topay more if the hamburger comes with a free whistle. Prior research suggests the mean amount customers say theyare willing to pay for a hamburger is µ = 2.72 and o = 1.28.The researcher plans to conduct a study very similar to the prior research by selecting a sample of customers andasking them how much they are willing to pay for the hamburger. Before asking, however, she will tell the customerabout the free whistle that will come with the hamburger.The researcher's null hypothesis is that the mean amount the customers are willing to pay when they are told aboutthe free whistle is no different than the amount customers are willing to pay when they are not told they will receivea free whistle.The researcher's sample of 100 customers has a sample mean ofM = 2.98. The test statistic for this sample mean is2.03. Using a significance level of a = .05, which of the following is the most appropriate statement of the result?Hint: For a two-tailed test with a = .05 and o known, the boundaries of the critical region are always +1.96.Telling customers they will receive a free whistle with their hamburger did not have a significant effect on theamount they say they are willing to pay for a hamburger, z =2.98, p > .05.Telling customers they will receive a free whistle with their hamburger had a significant effect on the amountthey say they are willing to pay for a hamburger, z =2.03, р < .05.Telling customers they will receive a free whistle with their hamburger had a significant effect on the amountthey say they are willing to pay for a hamburger, z = 2.72, p < .05.Telling customers they will receive a free whistle with their hamburger did not have a significant effect on theamount they say they are willing to pay for a hamburger, z = 2.03, p < .05.Compute the estimated Cohen's d to measure the size of the treatment effect.Note: Cohen's d is always reported as a positive value and reflects the proportion of the standard deviation that isaffected by the treatment.

Null and alternate hypotheses: The investigator is interested to test whether the population mean is…

Suppose a researcher is trying to understand whether people who purchase fast-food hamburgers would be willing to pay more if the hamburger comes with a free whistle. Prior research suggests the mean amount customers say they are willing to pay for a hamburger is = 2.72 ando = 1.28.

Suppose a researcher is trying to understand whether people who purchase fast-food hamburgers would be willing to pay more if the hamburger comes with a free whistle. Prior research suggests the mean amount customers say they are willing to pay for a hamburger is = 2.72 ando = 1.28.

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

See similar textbooks

Similar questions

In a small company, the median salary is significantly lower than the mean salary. What does this indicate about the salary distribution in the company? What might be some possible reasons for this pattern?
A study of new home prices was conducted in a neighborhood of 2000 homes. The median price of a new home is reported to be $172,400 and the mean price is reported to be $196,000. describe the distribution of new home prices, explaining the relationship between the given median and mean. How many new homes cost more than $172,400?
A scientist studied the spread of AIDS and concluded that 24% of people contracted the disease. There is a problem with this conclusion. What should the correct conclusion state?
A study was undertaken to see how accurate food labeling for calories on food that is considered reduced calorie. The group measured the amount of calories for each item of food and then found the percent difference between the measured and labeled amount of calories. The group also looked at food that was nationally advertised, regionally distributed, or locally prepared. Do the data indicate that at least one of the mean percent differences between the three groups is different from the others? The data is summarized in the table below. National Mean Standard Deviation Sample Size Local -2.1 Regional 27.1667 143.125 Fill in the hypotheses below: Ho: Select an answer Ha: Select an answer 10.3257 20.797 53.5922 20 12 8
A researcher speculates that because of differences in diet, Japanese children have a lower mean blood cholesterol level than U.S. children do. Suppose that the mean level for U.S. children is known to be 175. Let ? represent the true mean blood cholesterol level for Japanese children. What hypotheses should the researcher test? H0: ? = 175 versus Ha: ? > 165H0: ? = 175 versus Ha: ? < 185 H0: ? = 175 versus Ha: ? < 175H0: ? = 175 versus Ha: ? > 175H0: ? = 185 versus Ha: ? > 175
An automobile repair shop reports that half of the automobiles they repair have a resale value below $ 4,000. In this example, the $4,000 represents which measure of central tendency? It is the mean O median mode range
Suppose a researcher wants to test if the average diastolic blood pressure in African-Americans is different than the average diastolic blood pressure in the general population. Note that the average diastolic blood pressure in the general population is 70 mmHG. The researcher retains the null hypothesis, so she therefore concludes... Group of answer choices The mean diastolic blood pressure in African-Americans is equal to that of the general population The mean diastolic blood pressure in African-Americans is different than that of the general population
What price do farmers get for their watermelon crops? In the third week of July, a random sample of 40 farming regions gave a sample mean of x = $6.88 per 100 pounds of watermelon. Assume that ? is known to be $1.92 per 100 pounds.
A cruise ship charges passengers $3 for a can of soda. Because of passenger complaints, the ship manager has decided to try out a plan with a lower price. He thinks that with a lower price, more cans will be sold, which would mean that the ship would still make a reasonable total profit. With the old pricing, the mean number of cans sold per passenger for a 10-day trip was 10.3 cans. Suppose μ represents the mean number of cans per passenger for the new pricing. What hypotheses should the ship manager test if he wants to determine if the mean number of cans sold is greater for the new pricing plan? O Ho: μ = 10.3 versus H₂: μ> 10.3 O Ho: μ = O Ho: μ = 10 versus Ha: μ 10.3
3. ACT scores are roughly Normal with mean 20.8 and standard deviation 4.8, and SAT scores are roughly Normal with mean 1026 and standard deviation 209. Some students take both. For those students, the correlation between the two scores is 0.72. a. What's the equation of the straight line that you'd use to predict ACT scores based on SAT scores? b. I got a 1300 on the SAT, and I'm planning to take the ACT. Predict what I might get, c. What's the equation of the straight line that you'd use to predict SAT scores based on ACT scores? d. My friend got a 27 on the ACT, and she's planning to take the SAT. Predict what she might get. e. How come you're predicting both that I'll do worse than her on the ACT and that she will do worse than me on the SAT? 4. Draw a simple random nlc of size 15 from the labels 40os01, 402.
Your medical research team is investigating the mean cost of a 30-day supply of a certain heart medication. A pharmaceutical company thinks that the mean cost is more than $95. You want to support this claim. How would you write the null and alternative hypotheses?
What is a Type I error in this problem? A. A Type I error would be to conclude that the true mean level of support for sustainability is not 66 when, in fact, the mean is equal to 66. B. A Type I error would be to conclude that the sample mean level of support for sustainability is greater than 66 when, in fact, the sample mean is less than 66. C. A Type I error would be to conclude that the true mean level of support for sustainability is 66 when, in fact, the mean is not equal to 66. D. A Type I error would be to conclude that the sample mean level of support for sustainability is less than 66 when, in fact, the sample mean is greater than 66.