The basic null hypothesis in the context of Pearson’s r is
answer)
The sampling distribution of pearson's r is normal when p = 0
And it is not normal when p is not equal to 0
So null hypothesis Ho is : = 0
Both chi-square and Pearson’s r provide information regarding the relationship between two variables. However, Pearson’s r is a more advanced statistic. Indicate why this is the case by listing two advantages that Pearson’s r has over the chi-square statistic. (3 points each) 1. 2.
Determine the expected count under the null hypothesis. Is achieving a basic skill level in a subject independent to the location of the school? A random sample of students categorized by the location of school and the number achieving basic skills in three subjects is shown in the table. Subject Location of School Reading Math Science Totals Urban 43 42 38 123 Suburban 63 66 65 194 Totals 106 108 103 317 Under the null hypothesis for a Chi-square test...
Which of the following statements is correct in the context of hypothesis testing? Select one: a. Based on the sample data we prove the null hypothesis. b. Based on the sample data we prove the alternative hypothesis. c. Based on the sample data we disprove the null hypothesis. d. Based on the sample data we disprove the alternative hypothesis.
The basic idea behind null hypothesis testing: a. is largely the same across a wide variety of procedures. b. is important only if you want to compare two populations. c. has little to do with whatever data you collect. d. depends on the kind of test you want to run.
If Pearson’s r for two variables is –.4 in a sample of 38 subjects, what is the t value you would use to test that correlation for statistical significance? –2.23 –2.40 –2.62 –3.09
if the null hypothesis is tested at the 5% level the null hypothesis should be
5. Jeff was arrested for robbery. At his trial, the null hypothesis is that he is innocent. Describe a type I and type II error within the context of the results of the trial.
For the data below, what is the value of Pearson’s r? X Y 5 4 6 3 8 6 9 6 4 4 s x = 2.07 s y = 1.34 .21 .37 .63 .79
The null hypothesis must be rejected at a 5% level of significance. The null hypothesis must be rejected at a 1% level of significance. The null hypothesis must be rejected at both a 5% and a 1% level of significance. None of the above. same set For a hypothesis testing problem with a given data set, you have rejected the null hypothesis at a 10% level of significance. For the same data set,
r joint null hypothesis test statistic comes . If ou out to be greater than the relevant critical value, do we reject or fail to reject the joint null hypothesis? S&W Chapter 9 -Assessing Studies Based on Multiple Regression 21. In the S&W format, list the five sources of bias in the estimated coefficients outlined in the text and describe each with a few words. r joint null hypothesis test statistic comes . If ou out to be greater than...