Does this statement accurately represent Type II error? Failing to reject the Ho after a test statistic results in a p-value of .03 at α=0.05. b) Does this statement accurately represent Type 1 error? Rejecting the Ho after a test statistic results in a p-value of .30 at α=.05.
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a) Does this statement accurately represent Type II error?
Failing to reject the Ho after a test statistic results in a p-value of .03 at α=0.05.
b) Does this statement accurately represent Type 1 error?
Rejecting the Ho after a test statistic results in a p-value of .30 at α=.05.
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- Using the information provided in the SPSS output. You are asked to make a decision about whether to reject the null hypothesis that the population value of gamma equals 0 (i.e., that there is no ordinary association in the population between frequency of prayer and health). If alpha = 0.05 and you use a non-directional alternative hypothesis, which of the following is true?) A. Since the p-value is larger than alpha, you do not reject the null hypothesis B. Since the p-value is less than alpha, you do not reject the null hypothesis C. Since the p-value is larger than alpha, you reject the null hypothesis. D. Since the p-value is less than alpha, you reject the null hypothesisIn reporting the results of a statistical analysis, a researcher reports that "p = .33". This implies that ________. a. the alternative hypothesis was accepted with an alpha level of .05 b. the alternative hypothesis was not accepted with an alpha level of .05 c. the null hypothesis was not rejected with an alpha level of .05 d. the null hypothesis was rejected with an alpha level of .051.Distinguish p-value from alpha. 2. Which of the following alpha values provides the strongest evidence the reject the null hypothesis? a. 5%b. 1%c. 0.01% 3. Which approach measures the strength of the evidence against the null hypothesis, the p-value approach or the critical value approach?
- A researcher who wants to know whether the proportion of male births in a hospital is different from the established baseline of 51.07%, would like to test the following hypotheses: Ho:P = 0.51 vs. Ha :P = does not equal 0.51 a) Is the alternative hypothesis upper tail, lower tail, or two tailed? b) What do you conclude if the test results p-value of 0.03 at alpha value = 5% c) What do you conclude if the test results p-value of 0.08 at alpha value = 10%A researcher believes that there is a difference in how cautious male stray cats and female stray cats are when approaching people. He knows that the stray cat population is 50% male and 50% female. In order to test this hypothesis, he visits 15 different areas where stray cats live and records the gender of the first cat to approach him. He finds that 11 of the 15 cats that approach him are male. Using a sign test and an alpha of .05: Calculate the p-vlaue (or significance) of the obtained value (Hint: in a two - tailed test make sure to double the p-value).In doing a hypothesis test of the population proportion at α=0.02 level of significance, we got the p-value to be 0.006. What would our conclusion to the test be? Why? A. Do NOT Reject H0 since the p-value > α B. Reject H1 since the p-value < α C. Reject H0 since the p-value < α D. Do NOT Reject H0 since the p-value < α
- 32. According to the Pew Research Center, 19% of U.S.adults living in Rural areas of the country do not use the internet. An SRS of 400 adults from Rural areas in Oregon had 65 indicate they do not use the internet. Given alpha = 0.05 is there evidence to support that 19% of adults living in Rural Oregon do not use the internet? True or False: Since the p- value is greater than alpha we fail to reject the null hypothesis.Examine the relationship between these variables by testing both statistical significance and strength of association. Use chi-square for significance and choose the appropriate measures for strength of association (Phi, Cramer’s V, Lambda, or Gamma). Set alpha to .05. State the null and research hypotheses: H0: H1: What is the obtained chi-square value? What is the significance level (p-value) for the obtained chi-square? Should we reject or fail to reject the null hypothesis? Is there a statistically significant relationship between these variables? Which measure of association would be most appropriate for these variables? What is the value of the measure of association? Interpret your findings by explaining in full sentences whether there is a statistically significant relationship or not and the strength of the relationship. Also explain any patterns you see in the percentages:"A research report describing the results from a independent t-test included the following statement: t(8) = 2.78, p = .04. Based on this report, using a standard alpha level, is this effect statistically significant?" "no, because p must be less than .001 to be statistically significant" "yes, because p must be less than .001 to be statistically significant" "no, because p must be less than .05 to be statistically significant" "yes, because p must be less than .05 to be statistically significant"
- You complete a hypothesis test using alpha = .05 and based on the evidence from the sample, your decision is to fail to reject the null hypothesis. If the treatment actually does have an effect, which of the following is true?A nationwide study of undergraduate students reported that the mean number of drinks consumed per week during the spring semester is 7.96. The mean number of drinks consumed per week at USC is 7.64 (s.d.=2.55, N=412 Health services is concerned that USC students are consuming significantly more alcohol per week than the national average. Using an alpha level of .05, Is there sufficient evidence to be concerned? Be sure to select the correct critical value for the alternative hypothesis, and then use this evidence to make your conclusionA sample of n = 30 scores produces a calculated t statistic of t = -2.029. If the researcher is using a one-sample t-test and is testing his hypothesis at the alpha=.05 level, the correct statistical decision is: a. The researcher can reject the null hypothesis whether it was a directional or non-directional hypothesis. b. The researcher can fail to reject the null hypothesis if this was a directional hypothesis but not if it was a non-directional hypothesis. c. It is impossible to make a decision about H0 without more information d. The researcher can fail to reject the null hypothesis whether it was a directional or non-directional hypothesis. e. The researcher can reject the null hypothesis if this was a directional hypothesis but not if it was a non-directional hypothesis.