Packaging of a children’s health food. Can packaging of a healthy food product influence children’s desire to consume the product? This was the question of interest in an article published in the Journal of Consumer Behaviour (Vol. 10, 2011). A fictitious brand of a healthy food product—sliced apples—v/as packaged to appeal to children (a smiling cartoon apple was on the front of the package}. The researchers showed the packaging to a sample of 408 school children and asked each whether he or she was willing to eat the product. Willingness to eat was measured on a 5-point scale, with l — “not willing at all” and 5 = “very willing.” The data are summarized as follows: x = 3.69, s = 2.44. Suppose the researchers knew that the mean willingness to eat an actual brand of sliced apples (which is not packaged for children) is μ = 3
- a. Conduct a test to determine whether the true mean willingness to eat the brand of sliced apples packaged for children exceeded 3. Use α = .05 to make your conclusion.
- b. The data (willingness to eat values) are not
normally distributed. How does this impact (if at all) the validity of your conclusion in part a? Explain.
Want to see the full answer?
Check out a sample textbook solutionChapter 7 Solutions
Statistics For Business And Economics Plus Mystatlab With Pearson Etext -- Access Card Package (13th Edition)
- A study is being carried out in the operating room of the Regional Hospital of Veraguas to establish whether the type of surgery influences the appearance of nosocomial infections in obese patients who underwent a tubular gastrectomy. The 80 patients in the study are divided into two groups, one of whom had had an open surgery (44 patients) and the others a clean surgery. There were 37 patients with infection from open surgery and 14 with infection from clean surgery. If you did not have a nosocomial infection, what is the probability that you had clean surgery? What is the probability that a patient will have clean surgery? What is the probability that a patient will have open surgery? What is the probability of clean surgery or nosocomial infection? What is the probability of no nosocomial infection or clean surgery? If you had clean surgery, what is the probability of a nosocomial infection? If you had clean surgery, what is the probability of no nosocomial infection? If you had…arrow_forwardA researcher is studying the effects of yoga on depression. Participants are randomly assigned to one of two groups: yoga and medication (experimental group); or support group and medication (control group). In this study, the researcher first administers a questionnaire measuring depression to all participants. Then they implement two programs simultaneously: a 6-week yoga program coupled with medication management and a 6-week support group program coupled with medication management. At the end of the 6 weeks, participants complete another questionnaire measuring depression. Finding the change scores from the beginning to end, the researcher then compares the mean change score of the experimental group with the mean change score of the control group. A) What are the independent and dependent variables in this scenario? B) What statistical test would be most appropriate to use in this study? Why? C) Once you have calculated the statistics, how do you know whether the results of the…arrow_forwardAn optometrist suspected that the reading habits of all the first year optometry students from DDC have a bad effect to their eye vision that could possibly affect both of their academic and non-academic performance. Upon conducting the study, he found out the following results; 1. 75% of the total number of first year optometry students from DDC, 25% were males and 50% were females, have bad eye vision due to their reading habits and got poor academic performance but a satisfying performance in non-academic activities. 2. The researcher got a 30% sample out of the 100% population and found out that 20% of the sample were females and 10% were males with bad eye vision due to their reading habits and got poor academic performance but satisfying non-academic performance. 3. The conclusion was, the reading habits of the first year optometry students from DDC had bad effects to their eye vision. This was one of the reasons that the students have poor performance in academic activities…arrow_forward
- An optometrist suspected that the reading habits of all the first year optometry students from DDC have a bad effect to their eye vision that could possibly affect both of their academic and non-academic performance. Upon conducting the study, he found out the following results; 1. 75% of the total number of first year optometry students from DDC, 25% were males and 50% were females, have bad eye vision due to their reading habits and got poor academic performance but a satisfying performance in non-academic activities. 2. The researcher got a 30% sample out of the 100% population and found out that 20% of the sample were females and 10% were males with bad eye vision due to their reading habits and got poor academic performance but satisfying non-academic performance. 3. The conclusion was, the reading habits of the first year optometry students from DDC had bad effects to their eye vision. This was one of the reasons that the students have poor performance in academic activities…arrow_forward24 employees were randomly divided into two groups of 12. Both groups participated in a 2-week training period, but the first group also spent one extra day working on motivational material. At the end of the training period, the employees completed a series of tests and their performance was evaluated. If the sum of the ranks (rank) of the group that spent time with the motivational material was 136, what is the corresponding p-value for the hypothesis that the motivational material has no effect? What conclusion can you draw based on the p-value?arrow_forwardA researcher is interested in estimating the extent to which posting caloric labels on menus changes the number of calories consumed by patrons. To test the impact of posting caloric labels on menu items, the analyst created two menus for the same restaurant: One menu with caloric labels and one menu without. As soon as restaurant guests entered the restaurant, they were randomly assigned one of the two types of menus. For the sake of clarity, guests assigned the menu with caloric labels are referred to as “Group 1” or the “treatment group”. Likewise, guests assigned the menu without caloric labels are referred to as “Group 2” or the control group. The analyst then collected data detailing how many calories each guest consumed as well as recording the age of each guest. The variable Cal1 denotes the number of calories consumed by guests who were assigned to the treatment group 1, while the variable Cal2 denotes the number of calories consumed by guests who were assigned to the control…arrow_forward
- A researcher was thinking about develop a self-traning academic writing learning program, so people can easily get access to resources for their study. the research team randomly sampled 30 participants, and randomly assigned them into three conditions: guided trainning, self-trainning and no training. After one semester, all participants were tested on their writing using standard test. Suppose the outcome were significant at 0.05 level, can this imply causal effect of the training program?arrow_forwardA researcher notes that there seems to be a difference in the prevalence of individuals who are medication adherent and have high levels of education along with a high health literacy and the prevalence of individuals who are not medication adherent and have low levels of education along with a low health literacy. Use the appropriate hypothesis to determine if education level and health literacy status are related (independent) at the 5%. This is the first step in determining if confounding has influenced the study’s results. Then interpret your response. Low Level of Education Low Medication Adherence High Medication Adherence Total Low Health Literacy 91 9 100 High Health Literacy 9 291 300 Total 100 300 400 High Level of Education Low Medication Adherence High Medication Adherence Total Low Health Literacy 96 4 100 High Health Literacy 4 296 300 Total 100 300 400 A) The chi square…arrow_forwardA researcher is comparing the occurrence of nausea as a side-effect in two brands of medication: Brand A and Brand B. For a random sample of 150 Brand A users, 66 experienced nausea as a side-effect. For a random sample of 200 Brand B users, 118 experienced nausea as a side-effect. Can the researcher conclude that the proportion of all Brand A users who experience nausea as a side-effect is different from the proportion of all Brand B users who experience nausea as a side-effect. For the hypothesis testing scenario above, the researcher concludes that the two proportions are different at the 0.01 significance level. Compute the 99% confidence interval to estimate the difference.arrow_forward
- A clinical researcher has developed a new test for measuring impulsiveness and would like to determine the validity of the test. The new test and an established measure of impulsiveness are both administered to a sample of participants. Describe the pattern of results that would establish concurrent validity for the new test.arrow_forwardIn a winter of an epidemic flu, the parents of 2000 babies were surveyed by researchers at a well-known pharmaceutical company to determine if the company’s new medicine was effective after two days. Among 120 babies who had the flu and were given the medicine, 29 were cured within two days. Among 280 babies who had the flu but were not given the medicine, 56 recovered within two days. Is there any significant indication that supports the company’s claim of the effectiveness of the medicine? Use a significance level of 0.10 A. What type of Hypothesis Testing should be used? B. What are the null and alternative hypothesis? C. What are the significance level and type of test? D. What is the critical value? E. What is the standardized test statistic? F. What is the Statistical Decision?arrow_forwardA researcher is interested in whether a difference can occur between scores on one of the Maryland Addiction Questionnaire (MAQ) subtest, namely the Motivation for Continued Treatment (MOT) among inmates incarcerated for operating a vehicle Under the Influence(OUI). One group of subjects was assigned to a treatment facility for dealing with drug abuse issues, and the other group of 20 subjects continued in the main jail with no treatment being provided. The scores follow: Treatment group 47, 50, 41, 52, 48, 46, 50, 44, 60, 48, 46, 47, 41, 39, 58, 45, 62, 50, 39, 47 Non treated group 41, 45, 40, 40, 33, 41, 42, 43, 37, 33, 53, 40, 38, 43, 55, 31, 37, 53, 38, 40 Test the research hypothesis that there will be a difference between the two sets of scores (find the t score) Calculate a confidence interval at the .95 level for establishing the true population difference between the groups [find the CI(confidence interval)] Indicate the type of research and, if appropriate, the…arrow_forward
- MATLAB: An Introduction with ApplicationsStatisticsISBN:9781119256830Author:Amos GilatPublisher:John Wiley & Sons IncProbability and Statistics for Engineering and th...StatisticsISBN:9781305251809Author:Jay L. DevorePublisher:Cengage LearningStatistics for The Behavioral Sciences (MindTap C...StatisticsISBN:9781305504912Author:Frederick J Gravetter, Larry B. WallnauPublisher:Cengage Learning
- Elementary Statistics: Picturing the World (7th E...StatisticsISBN:9780134683416Author:Ron Larson, Betsy FarberPublisher:PEARSONThe Basic Practice of StatisticsStatisticsISBN:9781319042578Author:David S. Moore, William I. Notz, Michael A. FlignerPublisher:W. H. FreemanIntroduction to the Practice of StatisticsStatisticsISBN:9781319013387Author:David S. Moore, George P. McCabe, Bruce A. CraigPublisher:W. H. Freeman