Q. 41 What is known as probable error?

To test whether there is a significant difference in the mean weekly earnings between males and females (i.e., whether gender affects mean earnings), you regress weekly earnings on a constant and a binary variable, which takes on a value of 1 for females and is 0 otherwise. The results were (standard errors are in the parentheses): 7. 2 Ear 610.5 160.2Female, n 5000, R2 0.086 (9.4) (12.6) (a) Will you do a t or an F test? What is your conclusion? (b) Are these results evidence enough to argue that there is discrimination against females? Why or why not?

Automobile accident and asked what they saw. One group of students was  asked how fast were they going when they smashed into the car? Other group verb was changed to hit. Smashed into reported higher rates of speed than hit. Suppose a researcher repeats this study with current college students and obtains the following results. Smashed into                                      Hit n=15                                                    n=15 M=40.8                                                M=34.0 SS=510                                               SS=414 1. State the hypothesis 2. Do the results indicate a significantly higher estimated speed for the smashed into group? Use a two-tailed test with a=.05. Compute estimated Cohen's D to measure size of the effect. State numerical value and meaning.

Sean thinks that he has a special relationship with the number 6. In particular, Sean thinks that he would roll a 6 with a fair 6-sided die more often than you'd expect by chance alone. Suppose pis the true proportion of the time Sean will roll a 6. (a) State the null and alternative hypotheses for testing Sean's claim. (Type the symbol "p" for the population proportion, whichever symbols you need of "", "-", "not =" and express any values as a fraction e.g. p = 1/3) Ho= Ha (b) Now suppose Sean makes n = 30 rolls, and a 6 comes up 6 times out of the 30 rolls. Determine the P-value of the test, giving your answer to 4 decimal places. Please use 3 decimal places in your test statistic when finding the P-value. P-value = ⠀⠀ (c) Answer the question: Does this sample provide evidence at the 5 percent level that Sean rolls a 6 more often than you'd expect? (Type: Yes or No) 4

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I just need help with parts D and E please.

5 a. Perform a Chi-square test Goodness of Fit test on following data to see whether Republicans and Democrats are equally represented in the sample. Report the resulting chi-square number. What is your political affiliation? Republican        102  Democrat              98                                200 = QUESTION 5 B Given the chi-square number for the question above, find the associated p-value and indicate the conclusion with regard to H0/H1.     We accept H1.     We accept H0.     We do not reject H1.     We do not reject H0.

Matt thinks that he has a special relationship with the number 2. In particular, Matt thinks that he would roll a 2 with a fair 6-sided die more often than you'd expect by chance alone. Suppose p is the true proportion of the time Matt will roll a 2. (a) State the null and alternative hypotheses for testing Matt's claim. (Type the symbol "p" for the population proportion, whichever symbols you need of "", "=", "not =" and express any values as a fraction e.g. p = 1/3) Ho p= 1/6 = Ha= p > 1/6 (b) Now suppose Matt makes n = 34 rolls, and a 2 comes up 7 times out of the 34 rolls. Determine the P-value of the test: P-value = | (c) Answer the question: Does this sample provide evidence at the 5 percent level that Matt rolls a 2 more often than you'd expect? (Type: Yes or No) no

Which of the following decreases the chances a person should purchase life insurance? O No dependents O Large savings O Low debt All of these O Paid off mortgage

The reliability of a test is equal to 0.81. This  implies that the validity coefficient related to a criterion of this test can, but does not have to be, be as large as __________.