. Now assume that the data are from a repeated- measures study using the same sample of n = 7 participants in both treatment conditions. Compute the variance for the sample of difference scores, the estimated standard error for the mean differ- ence, and the repeated-measures t statistic. Using .05, is there a significant difference between the two sets of scores? =
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- What is an experiment?What is meant by the sample space of an experiment?Exercise is known to produce positive psychological effects. Interestingly, not all exercise is equally effective. It turns out that exercising in a natural environment (e.g., jogging in the woods) produces better psychological outcomes than exercising in urban environments or in homes (Mackay & Neill, 2010). Suppose that a sports psychologist is interested in testing whether there is a difference between exercise in nature and exercise in the lab with respect to post-exercise anxiety levels. The researcher recruits n=7 participants who exercise in the lab and exercise on a nature trail. The data below represent the anxiety scores that were measured after each exercise session. Treat the data as if the scores are from an independent-measures study using two separate samples, each with n=7 participants. Compute the pooled variance, the estimated standard error for the mean difference, and the independent-measures t statistic. α=0.05, is there a significant difference between the…
- Exercise is known to produce positive psychological effects. Interestingly, not all exercise is equally effective. It turns out that exercising in a natural environment (e.g., jogging in the woods) produces better psychological outcomes than exercising in urban environments or in homes (Mackay & Neill, 2010). Suppose that a sports psychologist is interested in testing whether there is a difference between exercise in nature and exercise in the lab with respect to post-exercise anxiety levels. The researcher recruits n = 7 participants who exercise in the lab and exercise on a nature trail. The data below represent the anxiety scores that were measured after each exercise session.a. For this repeated-samples design, test the hypothesis that post-exercise anxiety is lower when people exercise in nature than when they exercise indoors (in the lab). Use ? = .05, two-tailed. Make certain to follow the steps shown in the course lecture slides and textbook. Use the computational formula…Ophthalmology The following data are from a study on Botox injections. Patients received a high-dose injection in one eye (experimental treatment = treatment E) and a low-dose injection in the other eye (control treatment = treatment C). Patients were asked to rate the level of pain in each eye on a 1-10 scale, with higher scores indicating more pain. The assignment of treatments to eyes was randomized. The subjects came back over several visits. Data from the last visit are given in the table below. Effect of Botox injection on eye pain Subject 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 Pain score at the last visit Pain in E eye Pain in C eye 1.3 7.3 0.0 0.0 3.0 0.0 3.5 0.0 0.0 2.0 0.0 3.0 5.0 0.3 0.0 4.3 USE SALT 8.7 1.4 0.9 9.6 7.9 9.1 5.1 2.2 2.6 7.9 4.4 4.6 9.1 7.4 0.4 0.7 UNİ TANTE ELANIKE Cunnnen win wich to compare the nain score in the E eve vs. the pain score in the C eye.Exercise is known to produce positive psychological effects. Interestingly, not all exercise is equally effective. It turns out that exercising in a natural environment (e.g., jogging in the woods) produces better psychological outcomes than exercising in urban environments or in homes (Mackay & Neill, 2010). Suppose that a sports psychologist is interested in testing whether there is a difference between exercise in nature and exercise in the lab with respect to post-exercise anxiety levels. The researcher recruits n 5 7 participants who exercise in the lab and exercise on a nature trail. The data below represent the anxiety scores that were measured after each exercise session. Treat the data as if the scores are from an independent-measures study using two separate samples, each with n 5 7 participants. Compute the pooled variance, the estimated standard error for the mean difference, and the independent-measures t statistic. Using a 5 .05, is there a significant difference…
- Statistics QuestionWhat does an A X B interaction mean in a two - way ANOVA? A. The affect of factor A depends on the level of factor B B. The main effects for Factors A and B must be short of significance C. There must be significant main effects for Factors A and B D. If there are significant main effects, they must be interpreted first before interpreting the interactione. The results of which type of observational study are generally more able, retrospective or prospective? A. Prospective studies are more reliable because there are more confounding variables than retrospective studies. OB. Retrospective studies are more reliable because there are fewer confounding variables than prospective studies. OC Retrospective studies are more reliable because there are more confounding variables than prospective studies. OD. Prospective studies are more reliable because there are fewer confounding variables than retrospective studies.
- The researcher performs an analysis of variance (ANOVA) to test the hypothesis that the populations defined by the treatment combinations are equal. The results are presented in the following ANOVA table. Source Between treatments Factor A Factor B AXB interaction Within treatments Total ANOVA Table SS 1,607.1875 37.8120 645.9380 3 923.4400 3 5,127.4975 72 6,734.6875 79 df 7 1 37.8120 0.53 215.3127 3.02 307.8133 4.32 71.2152 MS F Use the significance level a = 0.05 to complete the following conclusions. The critical F value for factor A (years in military) is 3.97. Therefore, the main effect due to factor A is The critical F value for factor B (program component) is 2.73. Therefore, the main effect due to factor B is The critical F value for the interaction of factors A and B is 2.73. Therefore, the effect due to the interaction of factors A and B isA researcher is interested in the impact of joining a weight loss program in the past 12 months on the individuals weight loss. The analysis is restricted to people aged 16 and older who answered yes to the question "During the past 12 months, have you tried to lose weight?" About 5% of the sample had joined a weight loss program in the past year. Below is a subset of some of the other variables included in the survey. Questions were asked about actions taken in the past 12 months. Which ones do you believe should be included as covariates? Provide a justification for your choice. Age BMI Gendere Height Average minutes of exercise per week whether they tried to eat less calories whether they tried to eat less fat whether they tried to eat less carbsDr. 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