Homework Help for Statistics

The frame shown is hinged to rigid supports at A and E. Find the horizontal and
vertical components of the forces at A and E, and the forces in members BC and BD.
(Ans. EH=2500N, AV=400N, BD=4166.67N(C), BC=2833.33N(T)

EV =500N, AH=2500N

Suppose a group is interested in determining whether teenagers obtain their drivers licenses at approximately the same average age across the country. Suppose that the following data are randomly collected from five teenagers in each region of the country. The numbers represent the age at which teenagers obtained their drivers licenses. Use a level of significance of 0.10.

Northeast South West Central

16.3 16.9 16.4 16.2

16.1 16.5 16.5 16.6

16.4 16.4 23.0 16.5

16.5 16.2 20.2 16.4

What test are you going to run?

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Discuss with your classmates how the material you are reading and learning about regarding mortgages and taxes might help you in your daily life and/or in the field in which you are seeking employment or are currently employed in. If you might be in the market for a home, how might this information help you make an informed decision? You may, but are not required to, use information relating to your own personal mortgages or town taxes. Do not divulge any personal information that would be an invasion of your privacy. There are no individual questions from the text for Discussion this week.

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76. Assuming the null hypothesis is true in each case, if the results of 1300 studies are analyzed, each using the .05 significance level, on average __________ will be significant. (To fill in the blank, give a number between 0 and 1300).

72. What is the distinction between a linear relationship and a correlation between two variables?

73. If you are interested in whether variable X causes variable Y, what is the relevance of knowing the variables X and Y are correlated?

74. What is a spurious correlation? What do spurious correlations indication about the relationship between correlation and causation?

75. What is the relationship between correlation and prediction? What do we mean by a prediction model?

65. For this dataset, what is the correlation coefficient (r)?

66. What is the regression equation for this dataset?

67. Based on the model (i.e. the regression equation) you just made, predict the perceived pleasantness score for a person who has a percent occupancy score of 70.

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Look at photo

62. What does the example of Anscombe's Quartet show about the importance of plotting data in scatter diagrams?

Look at photo

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

56. 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.

53. What kind of hypothesis test will you use to analyze this dataset? (look at photo)

A program to decrease littering was carried out in four cities in California's Central Valley starting in August 2011. The amount of litter in the streets (average pounds of litter collected per block per day) was measured during July before the program started and then the next July, after the program had been in effect for a year. The results were as follows:

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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?

9. Based on your answer to the previous question, give an example of a cutoff score that would be statistically significant for one type of test (Z or t) but not the other.

10. Is it possible to perform a statistical test if the data being analyzed violates one of the test's assumptions? Why or why not?