For Assignment 5 in our course, the researchers hypothetically tested two groups of participants. The independent variable was location of exercise with two levels "in the lab" and " in nature". The dependent variable was scores on a test of anxiety levels. Using the information provided below, calculate variance for each of the groups and F-max. Should the researchers run this study? Explain why or why not.  SS (lab exercise) = 600, n = 7 SS (exercise in nature) = 1910, n = 7

Morgan wants to test the speed for two different routes she can take to ride her bicycle home from work. Route A involves riding her bicycle on a busy road, and Route B involves riding her bicycle along a scenic trail. Assume that the population variances are not equal.Morgan collects some data, given below:Route A: xA=17.1 minutes, sA=4.6 minutes, nA=33 Route B: xB=15.8 minutes, sB=4.2 minutes, nB=39 _______________________________________________________________________________________ a. State the null and alternative hypothesis for the claim that Route A takes longer on average than Route B. b. We will use a/an (unpooled or pooled) t-test with _____ degrees of freedom. c. Calculate the standardized test statistic for the hypothesis test, rounded to 2 decimal places. Keep in mind that the formula for the denominator depends on whether the test is pooled or unpooled.

In a study of the effects of the drug THC on driving performance, driving performance would be the Independent variable. a. true b. false

Suppose that, as part of a research methods class, Bailey was asked to write a summary of a research paper on the topic of the effects of visitor traffic on the relative humidity in bat caves.                        Identify the explanatory and the response variables.                                                                                                                                                                                                                                                         The number of visitors and the relative humidity are the response variables. The number of visitors is the response variable, and the relative humidity is the explanatory variable. The number of visitors and the relative humidity are the explanatory variables. The number of visitors is the explanatory variable, and the relative humidity is the response variable.

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. Low High Moderate Moderate Moderately Severe Severe 0 2.6 2.7 2.7 1.7 2.5 3.2 3.3 2.2 3 3.2 5.2 0.6 1.8 3.8 1.5 1.9 1.9 3.8 5.9 1.3 1.2 2.4 2.9 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 απ 0.02. There is not enough evidence to determine a difference between the treatments. There is…

what would happen to the mean, median, and mode values that you calculated ,if you added one player to the team whose points per game for the season was 25.  just tell me if the mean, median, and mode would go up, down, or stay the same. Give an example of variable for which  the mean would not be appropriate to describe the data (that is, tell me a circumstance in which you would not want to use the mean to describe a dataset)

A psychologist would like to examine the effects of a new drug on the activity level of animals. Three samples of rats are selected with n=5 in each sample. One group gets no drug, one group gets s small dose, and the third group gets a large dose. The psychologist records the activity level for each animal. The data from this experiment are presented below.   No drug Small dose Large dose 5, 3 , 1 , 1 , 5 5, 5, 9, 6, 5 10, 12, 9, 6, 8 =3, SS=16 =6, SS=12 =9, SS=20   Do these data indicate any significant differences among the three groups? Test with α=0.05.                        Compute the effect size and interpret the result.

Devise two scenarios where a dependent/matched/paired t-test would be appropriate.  Be sure to express how you would measure your dependent variable.

This is two different samples though - younger students and older students. Paired samples T-test is for comparing the same group tested twice. Shouldn't the answer be correlation based on the us having two metric variables (age and number of complaints).  We are testing whether, as age goes up, number of complaints also goes up, which you could see on a scatterplot using correlation?

Provide an appropriate response. Suppose you were to collect data for the pair of given variables in order to make a scatterplot. For the variables time spent on homework and exam grade, which is more naturally the response variable and which is the explanatory variable? O Time spent on homework: response variable Exam grade: explanatory variable O Time spent on homework: explanatory variable Exam grade: response variable