Suzanne Zeedyk, a developmental psychologist at Dundee University’s School of Psychology, conducted a pilot study in which parents started out a half-hour walk with their infants in a parent-facing or an away-facing stroller and switched midway to the other type. Her results suggest that parents talked less to the babies and the babies had higher heart rates, and were less likely to fall asleep, in away-facing compared with parent-facing strollers. A stroller manufacturer investigates whether there are differences in expressive vocabularies between babies who travel in parent-facing strollers and babies who travel in away-facing strollers. It randomly assigns 17 newborns to parent-facing strollers and 17 newborns to away-facing strollers. When the babies are 24 months old, their expressive vocabularies are tested using the the Expressive Vocabulary Test (EVT). The sample means and sums of squares of the scores for each of the groups are presented in the table that follows. Group Sample Mean Sum of Squares ∑(xijxij – x̄jx̄j)22 Away-facing 95.1 1,971.36 Parent-facing 104.9 2,460.16   Assume that the required conditions for ANOVA are met. The manufacturer performs an analysis of variance using α = 0.01 to determine whether there is evidence of a difference between the groups. The SST is     . The SSE is     . Thus, SS(Total) is     .   The MST is     . The MSE is     . So the F-test statistic is     .

What is the step-step solution to this problem? Does posting calorie content for menu items affect people’s choices in fast-food restaurants? According to results obtained by Elbel, Gyamfi, and Kersh (2011), the answer is no. The researchers monitored the calorie content of food purchases for children and adolescents in four large fast-food chains before and after mandatory labeling began in New York City. Although most of the adolescents reported noticing the calorie labels, apparently the labels had no effect on their choices. Data similar to the results obtained show an average of M = 786 calories per meal with s = 85 for n = 100 children and adolescents before the labeling, compared to an average of M = 772 calories with s = 91 for a similar sample of n = 100 after the mandatory posting. Use a two-tailed test with a α .05 to determine whether the mean number of calories after the posting is significantly different than before calorie content was posted.     3. Calculate r 2 to…

Recent research indicates that the effectiveness of antidepressant medication is directly related to the severity of the depression (Khan, Brodhead, Kolts & Brown, 2005). Based on pretreatment depression scores, patients were divided into four groups based on their level of depression.  After receiving the antidepressant medication, depression scores were measured again and the amount of improvement was recorded for each patient. The following data are similar to the results of the study. LowModerate HighModerate ModeratelySevere  Severe 0.5 2.7 3.4 2.6 1.7 0.8 2.6 5.3 3.3 1.9 1.1 4 2.6 1.4 4.3 2.6 1.4 2.9 3.6 4.6 3.1 3.2 4.8 1.4 From this table, conduct an one-way ANOVA. Calculate the F-ratio and p-value. Be sure to round your answers to three decimal places. Assume all population and ANOVA requirements are met.F-ratio:  p-value:

Recent research indicates that the effectiveness of antidepressant medication is directly related to the severity of the depression (Khan, Brodhead, Kolts & Brown, 2005).  Based on pretreatment depression scores, patients were divided into four groups based on their level of depression.  After receiving the antidepressant medication, depression scores were measured again and the amount of improvement was recorded for each patient. The following data are similar to the results of the study. LowModerate HighModerate ModeratelySevere  Severe 2.4 0.2 2.5 3.5 1.6 1.7 2.7 4.3 2.7 3.4 2 3.4 0.5 1.2 5.2 5.1 2.4 2.3 4 3.5 1.8 0.3 4.1 3.8 From this table, conduct an one-way ANOVA. Calculate the F-ratio and p-value. Be sure to round your answers to three decimal places. Assume all population and ANOVA requirements are met.F-ratio:  _____p-value:  _____What is your final conclusion?  Use a significance level of α=0.05. (Select one):  There is sufficient evidence that…

Recent research indicates that the effectiveness of antidepressant medication is directly related to the severity of the depression (Khan, Brodhead, Kolts & Brown, 2005).  Based on pretreatment depression scores, patients were divided into four groups based on their level of depression.  After receiving the antidepressant medication, depression scores were measured again and the amount of improvement was recorded for each patient. The following data are similar to the results of the study. LowModerate HighModerate ModeratelySevere  Severe 0.3 1.2 2.2 1.8 3.8 1.7 1.4 2.8 3.2 0.4 0.6 2.6 2.3 1.2 1.6 2.6 2 3.2 1.6 2.2 0.6 1.2 1.6 1 2.7 1 2.2 0.6 1.4 1.6 3.3 2.7 2.2 2.9 3.7 2.6 0.9 0.7 3.4 3.1 2.6 1.7 0.8 1.8 2 1.4 1.6 4.1 1.7 0.9 3.3 2.3 1.6 1.1 3.5 1.4 3.5 1.9 0.4 4.2 1.5 2.3 2.2 2.9 1.4 2.2 2.7 2.8 2.1 1.9 1.9 3.9 1.5 2.7 0.8 1.5 1 3 2.1 3.7 1.5 0.9 2.4 1.9 2.7 3.2 0.8 2.7 2.2 2.9 1.8 1.2 2.4 1.7 3.2 1.3 2.2 2.4 1.1 1 2.6 2…

Recent research indicates that the effectiveness of antidepressant medication is directly related to the severity of the depression (Khan, Brodhead, Kolts & Brown, 2005).  Based on pretreatment depression scores, patients were divided into four groups based on their level of depression.  After receiving the antidepressant medication, depression scores were measured again and the amount of improvement was recorded for each patient. The following data are similar to the results of the study. LowModerate HighModerate ModeratelySevere  Severe 2.2 1.4 3.4 3.4 1.5 1.4 3.5 2.8 2.8 3.1 2.7 2.3 1.7 2.6 4.4 3.6 1.3 1.5 2.6 3.2 1.3 2.6 2.8 3.5 Fill in the summary table for the ANOVA test:   degrees of freedom (d.f.) Sum of Squares (S.S.) Mean Square (M.S.) Between       Within       Total         From this table, obtain the necessary statistics for the ANOVA:F-ratio (F-test statistic):  p-value:  η2η2 (Eta squared = Sum of squares betweenSum of squares totalSum…

An American Automobile Association (AAA) study investigated the question of whether car owners or truck owners were more likely to change their own blown tire. The situation referred to in the study stated the following: “If you blew a tire on a trip, would you change the tire yourself?” A sample representative of the data used by AAA showed 663 of 818 car owners said that they would change the tire themselves while 541 of 733 truck owners said they would change the tire themselves.   x n car owners 663 818 truck owner 541 733 The AAA research hypothesis was that truck owners would be more likely to change their tire themselves. Formulate the null and alternative hypotheses for this study. Let car owners be population What is the percentage of car owners who indicated that they would change their own tire?

DO C ONLY PLEASE!!

Most air travelers now use e-tickets. Electronic ticketing allows passengers to not worry about a paper ticket, and it costs the airline companies less to handle than paper ticketing. However, in recent times the airlines have received complaints from passengers regarding their e-tickets, particularly when connecting flights and a change of airlines were involved. To investigate the problem, an independent watchdog agency contacted a random sample of 20 airports and collected information on the number of complaints the airport had with e-tickets for the month of March. At the .05 significance level, can the watchdog agency conclude the mean number of complaints per airport is less than 15 per month? What assumption is necessary before conducting a test of hypothesis? Is it reasonable to conclude that the population follows a normal distribution? Conduct a test of hypothesis and interpret the results. The information is reported below: 14 12 14 15 16 5 15 12 14 12 13 14 12 13 13 12 16…

Dr. Guidry conducts a study examining the relationship between the number of friends one has and the experience of daily stress and life satisfaction. She randomly samples 1,500 elderly men and women in Nashville, Tennessee (the state capital), located in the southern United States. Dr. Guidry submits her study for publication in a scientific journal. If one of the peer reviewers is concerned about the external validity of her study, which of the following is the most important aspect of Dr. Guidry's study to consider? the number of significant findings the random sampling technique used to recruit the participants the number of people in the sample the use of three measured variables