A researcher would like to examine how the chemical tryptophan, contained in foods such as turkey, can affect mental alertness. A sample of n = 9 college students is obtained and each student's performance on a familiar video game is measured before and after eating a traditional Thanksgiving dinner including roast turkey.  The average score dropped by M = 14 points after the meal with SS = 1152 for the difference scores. What statistical procedure would you use to analyze this data and why?

The Graduate Record Exam is a standardized test taken by many graduating college seniors. GRE scores are often included in applications to masters or doctoral programs. Suppose that a psychology major received a score of X = 160 on the verbal section of the GRE and a score of X = 159 on the quantitative section of the GRE. The mean verbal GRE score for the years 2014-2017 among psychology majors was M = 152, s = 7. The mean quantitative score for the same years was M = 149, s = 7. Use z-scores to describe the student's performance relative to other psychology majors. On which section, verbal or quantitative, was the student's performance better? Round your answers to two decimal places. Verbal z-score is z = Quantitative z-score is z = The student's performance relative to other psychology majors was weaker stronger on the quantitative GRE than on the verbal GRE.

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 research study was conducted about gender differences in Sexting. The researcher believe that the proportion of girls involved in sexting is less than the proportion of boys involved. The data collected in the spring of 2010 among a random sample of middle and high school students in a large school district in the southern United States is summarized in table. Is the proportion of girls sending sexts less than the proportion of boys sexting? The test at 1% level of significance.   Females Males Sent sexts x1= 156  x2= 183 Total number surveyed  n1= 2169 n2= 2231 Let M and F Be the subscripts for males and females. Then pM and pF are the desired population proportions.  What is the question/claim to be tested in symbols the hypothesis is  Ho: Ha: which hypothesis matches the claim  test objective is to reject or support  level of significance a=.01 type of test (left, right, two-tailed) the applicable test to be applied is           (2-sampZTEST/2-sampTTEST, 2-propZTEST)…

What is the summary of the overall model of the data shown in question 1? Is it one that you would trust from a statistical standpoint? specifically why ?

Katie is studying aggression among adolescent girls. She believes that there is a relationship between the level of interaction a girl has with her mother and the level of aggression. She has identified 5 girls who fall into each of 4 interaction level and has measured their aggression scores. Her data are given below. Complete table below by filling in boxes with correct value. Show calculation. No Low Moderate High interaction interaction interaction interaction A, A A1 A2 A3 A4 4 16 4 16 4 16 25 36 4 16 4 16 36 25 3 4 16 36 4 16 25 3. 5 25 25 4 16 3 9 Σ Α82 n2=5; n3=5; n4=5; N= O; X = D; X;=4.80; X 3=4.00; X 4=3.40 Σ Α-26 Σ Α-138 Σ Α Σ Α-118 Σ A-20 Σ Α-17 ΣΑ ; ΣΑΟ397; ni- tot

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 are conducting a paired t test to determine whether or not caffeine has an effect on heart rate. You have a sample of 60 participants and they ingest no caffeine each day for a week. At the end of the week, you measure their heart rates and find the mean. Then, the same 60 participants are given 500mg of caffeine every day for a week and again, at the end of the week you measure their heart rates and find the mean. What would the null hypothesis be for this test?

Please answer question 4 and please show me how to do it in excel.

A researcher investigates the relationship between study habits and college achievement.  College seniors were administered the Inventory of Study Habits Survey (X) to measure study habits and the College BASE (Y) was used to measure overall college achievement.  The correlation between the study habits and achievement was found to be 0.784.  The researcher concluded that students with higher scores on the Study Habits Survey will always have higher college achievement scores on the College BASE.  Is the researcher's conclusion correct?  Why or why not?