Homework Help for Statistics

Here is another related question from my previous. I want to understand how to use the standard normal distribution table. Therefore, how do you find the critical value z for a 90% confidence level, using the table only. Show a snapshot of the table, and point to me how to obtain the critical value. I will give a thumbs up (helpful) for the correct answer. Thanks!

Find the critical value z using the standard normal distribution table, given a 90% confidence level. Please show a very detailed yet brief step by step solution. I will rate it helpful.

4. Based on your graph and line of best fit, how would you describe the correlation between minutes played and points scored? Be sure to discuss any patterns you notice as well as strength and direction of any correlations.

5. Using the table of statistics for Giannis, choose one additional statistical measure to explore for comparison with Lebron. Describe why you chose that statistic and what statistical tests or analyses were performed. Then, perform the calculations and analyses. Use the space provided below.

What’s the shape and context

50000,50000,75000,75000,100000,100000,150000,150000,200000,200000

(Look at photo)

15. What is the statistical power of STUDY A? (Bonus: How many additional subjects would be required to reach a minimum power of 0.80 for this study?)

16. What is the statistical power of STUDY B? (Bonus: How many additional subjects would be required to reach a minimum power of 0.80 for this study?)

17. Based of this comparison of STUDY A and STUDY B, which type of experimental design would you prefer for testing the memory effects of IGF2?

What kind of hypothesis test will you use to analyze this dataset?

52. What kind of hypothesis test will you use to analyze this dataset?

53. Using the .01 significance level, carry out a t test to test the experimenter's assumption that the participants' belief in the supernatural would change in some way after watching the movie.

A psychologist theorized that people can hear better when they have just eaten a large meal. Six individuals were randomly assigned to eat either a large meal or a small meal. After eating the meal, their hearing was tested. The hearing ability scores (high numbers indicate greater ability) are given in the following table. Using the .05 level, do the results support the psychologist’s theory?

48. What kind of hypothesis test will you use to analyze this dataset?

Match the following scenarios to the appropriate t-test:

A. independent samples t-test

B. single sample t-test

C. dependent-samples t-test

42.  ________ a comparison of the SAT scores of a group of 10 students who completed a special SAT preparation course compared to the scores of students in general on the SAT

43.  ________ a comparison of the scores of 13 randomly selected musicians on a melody identification test compared with 14 randomly selected non-musicians.

44. ________ a comparison of 15 participants' scores on a depression test before and after attending a therapy session.

45. SM2 stands for the  ____________________________.

46. The standard deviation is the square root of the _________________.

47. You are evaluating a non-directional hypothesis at the .05 significance level using a t test for a single sample. If there are 25 people in the sample, the cutoff score(s) needed is/are ____________.

36. A Clinical psychologist tests whether changing to a more nutritious diet will influence happiness levels. What is the research hypothesis?

a.    The change in diet will have no impact on happiness levels

b.    The change in diet will improve happiness levels

c.     The change in diet will decrease happiness levels

d.    The change in diet will change happiness levels

37. In statistics, the symbol μM is the:

a.    The sample mean

b.    The population mean

c.     The mean of the distribution of sample means

d.    The population standard deviation

38. The "cut-off sample score on the comparison distribution" is the point at which:

a.    The research hypothesis is rejected

b.    if the research hypothesis is true, a result this extreme is unlikely. 

c.     if the null hypothesis is true, a result this extreme is unlikely. 

d.    the null hypothesis is accepted.

39. The mean of a distribution of means is:

a.    the square-root of the original population mean. 

b.    the original population mean divided by the sample size (N). 

c.     the same as the original population mean. 

d.    the sample mean multiplied by the variance. 

40. A Psychologist is using a t-test to examine if taking a stress reduction course would increase how much people sleep. For this study, the significance level is .01 and the sample size is 15. What is the cut-off t-value for this study?

a.    2.625

b.    1.64

c.     2.947

d.    1.762

41. Which significance level(s) do Psychologists often use?

a.    .01

b.    .10

c.     .05

d.    Both A and C

31. Using a two-tailed test instead of a one-tailed test will ______ power?

       A. increase

       B. decrease

       C. have no effect on

32. The comparison distribution for a t test for independent means is:

a.    distribution of differences between means. 

b.    Z distribution (that is, a normal curve). 

c.     Poisson distribution. 

d.    distribution of proportional variance scores

33. Which option explains why we would need to use a t-test instead of a z-test?

a.    The population mean is not known

b.    The population standard deviation is not known

c.     The sample mean is not known

d.    The sample standard deviation is not known

34. The main difference between a Z score and a t score is that:

a.    t scores are used when a study is analyzed with a one-tailed test.

b.    t scores are used when the population variance is unknown.

c.     t scores are used only when the sample size is greater than 30.

d.    t scores are used only when inferences are made about other samples.

35. As the sample size increases, the distribution of t-scores:

a.    looks less like the normal curve.

b.    looks more like the normal curve.

c.     becomes more negatively skewed.

d.    becomes more positively skewed.

How does each of the following affect the power of a planned study?

27. A larger predicted difference between the means of the populations will ______ power?

       A. increase

       B. decrease

       C. have no effect on

28. A larger population standard deviation will ______ power?

       A. increase

       B. decrease

       C. have no effect on

29. A larger sample size will ______ power?

       A. increase

       B. decrease

       C. have no effect on

30. Using a more extreme significance level (for example, 0.01 instead of 0.05) will ______ power?

       A. increase

       B. decrease

       C. have no effect on

26. What is the relationship between power and Type 2 error rate?

For the following questions, imagine a study of whether meditation increases life expectancy:

22. Suppose the research hypothesis is supported using the hypothesis-testing procedure, but, in reality, the null hypothesis is true. What does this mean in the context of the study?

A. Meditation does not increase life expectancy , and the hypothesis test does not suggest that it does.

B. Meditation increases life expectancy , but the hypothesis test does not suggest that it does.

C. Meditation does not increase life expectancy , but the hypothesis test suggests that it does.

D. Meditation increases life expectancy , and the hypothesis test suggests that it does.

23. What is true if the research hypothesis is supported using the hypothesis-testing procedure, and, in reality, the research hypothesis is true?

A. Meditation does not increase life expectancy , and the hypothesis test does not suggest that it does.

B. Meditation increases life expectancy , and the hypothesis test suggests that it does.

C. Meditation does not increase life expectancy , but the hypothesis test suggests that it does.

D. Meditation increases life expectancy , but the hypothesis test does not suggest that it does.

24. What is true if the study is inconclusive using the hypothesis-testing procedure, and, in reality, the null hypothesis is true?

A. Meditation does not increase life expectancy , and the hypothesis test does not suggest that it does.

B. Meditation increases life expectancy , but the hypothesis test does not suggest that it does.

C. Meditation increases life expectancy , and the hypothesis test suggests that it does.

D. Meditation does not increase life expectancy , but the hypothesis test suggests that it does.

25. What is true if the study is inconclusive using the hypothesis-testing procedure, but, in reality, the research hypothesis is true?

A. Meditation increases life expectancy , and the hypothesis test suggests that it does.

B. Meditation does not increase life expectancy , and the hypothesis test does not suggest that it does.

C. Meditation does not increase life expectancy , but the hypothesis test suggests that it does.

D. Meditation increases life expectancy , but the hypothesis test does not suggest that it does.

20. What is true if the study is inconclusive using the hypothesis-testing procedure, and, in reality, the null hypothesis is true?

A. Increasing the amount of recess time does not improve in-class behavior , but the hypothesis test suggests that it does.

B. Increasing the amount of recess time improves in-class class behavior , but the hypothesis test does not suggest that it does.

C. Increasing the amount of recess time does not improve in-class behavior , and the hypothesis test does not suggest that it does.

D. Increasing the amount of recess time improves in-class class behavior , and the hypothesis test suggests that it does.

21. What is true if the study is inconclusive using the hypothesis-testing procedure, but, in reality, the research hypothesis is true?

A. Increasing the amount of recess time does not improve in-class behavior , and the hypothesis test does not suggest that it does.

B. Increasing the amount of recess time does not improve in-class behavior , but the hypothesis test suggests that it does.

C. Increasing the amount of recess time improves in-class class behavior , but the hypothesis test does not suggest that it does.

D. Increasing the amount of recess time improves in-class class behavior , and the hypothesis test suggests that it does.