Forty new employees hired at the same time are randomly divided into two groups. One group receives sales training and the other group does not. Two weeks later, participants are asked to provide their total sales figures. If it is an experimental study, what are the control group and the treatment group? What effect is being studied? If it is an observational study, what are some things that could cause the effect to happen? What effect is being studied?

Help please!!

Lynn University wants to examine whether students display better academic performance in class versus online. They have collected GPAs of two different samples of students, a sample from classes that take place in-person and a sample from classes that take place online. The data set is below. They predict that in-class students perform better than online students.  Performance In Class GPA Online GPA 4.0 4.0 3.5 2.2 3.7 3.3 3.5 3.7 2.0 2.5 3.2 3.8 3.3 3.8 For this test, we should use  ________ critical and p values.  Group of answer choices a) One tail b) Two tail c) Three tail d) None of the answers

Absenteeism:  Absenteeism can be a serious employment problem.  It is estimated that absenteeism reduces potential output by more than 10%.  Two economists launched a research project to learn more about the problem.  They randomly selected 100 organizations to participate in a 1-year study.  For each organization, they recorded the average number of days absent per employee and several variables thought to affect absenteeism. Management’s goal here is to analyze the data and determine which factors may be helpful in predicting absenteeism. Perform a two-sample t-test analysis to determine if mean absenteeism is different between organizations which have a good Union management and those that do not. I have provided the F-test for two variances below: Copy and paste the Two sample t-test output below AND provide a clear conclusion supported by key statistics in the output about how absenteeism is affected by the Union Management Relationship. (I just need to know how to perform the two…

New research on the effects of social media usage has been mixed. Some studies have found that social media helps people stay connected to others, and can be a positive source of social support. Other studies have found that social media makes people feel lonely and unhappy. I decide to do my own study to see whether social media has an effect on how many close friends people have. I conduct an internet survey of 1000 people and ask them how many hours a week they spend on social media and how many close friends they have. In the study respondents spent 10 hours a week using social media, and had 4 close friends, on average. The standard deviations for social media usage and close friends were 4 hours and 2 friends, respectively.  The correlation (r) between social media and friends was -.3.

As an admissions counselor, I am interested in understanding whether or not there is a difference in stress levels not only between different majors but also between different classes (Freshman v. Seniors). I gather the following data from students from three majors (Psychology, Chemistry, and Engineering), that are in their freshmen or senior years and ask them about their stress levels (scale of 1-10, with lower numbers meaning less stress). Using the data below, test whether there are effects of class, major, or an interaction between them at an alpha of 0.05.    Psychology Chemistry Engineering Freshmen 3, 4, 4, 2, 4 4, 5, 7, 8, 4 5, 7, 7, 8, 5 Senior 4, 5, 5, 3, 5 8, 5, 6, 7, 7 9, 9, 8, 7, 9 Complete the ANOVA summary table below:  Source SS df MS (variance) F MAJOR         CLASS         MAJOR*CLASS         ERROR/RESIDUAL       Nothing here TOTAL     Nothing here Nothing here   What can we conclude?…

A researcher conducts an independent-measures study to examine how the brain chemical serotonin is related to aggression.  One sample of rats serves as a control group and receives a placebo that does not affect normal levels of serotonin.  A second sample of rats, low serotonin group, receives a drug that lowers brain levels of serotonin.  Then, the researcher tests the animals by recording the number of aggressive responses each of the rats display.  See the data below. Is there a significant difference between the control group and the low serotonin group regarding the number of aggressive responses?                                                Control         Low Serotonin                                                    n = 10                 n = 15                                                M = 14               M = 19                                                SS = 180.5         SS = 130 Perform a hypothesis test using independent-measures t-test. Use a two-tailed…

A clinical psychologist is interested in the effect of a new treatment for treating depression. She randomly divides her clients into two groups. One group receives the new treatment and the other group receives the old treatment (control group).  At the end of treatment, she assesses the severity of their depression on a scale ranging from 0 to 20 (higher scores indicate greater depression). Was there a significant difference in depression scores between the two treatments?   New Treatment Old Treatment 2 7 5 10 3 6 8 8 11 4 4 8 6 10 4 4

Suppose you were to collect data for the following pair of variables, drivers: blood alcohol level, reaction time.  You want to make a scatter plot. Which variable would you use as the explanatory variable? Blood alcohol or reaction time? Which variable would you use as the response variable? Blood alcohol or reaction time? Would you expect to see a positive or negative association? Or neither?

A substance abuse counselor wants to demonstrate the effect of situational stress on alcohol cravings. He recruits two groups of men who are similar in respect to history of alcohol use and demographic variables. He divides them in to two groups. In one group(n=11), the men are exposed to a stressful situation and then asked to complete a measure rating their alcohol cravings on a scale from 0-10, where 0 representsno cravings and 10 represents intense cravings. In the second group (n=10), the men are exposed to a neutral situation and asked to complete the same measure. What test  and graph should I create to find out if a stressful situation result in more intense alcohol cravings than a non-stressful situation?