In a study in which the null hypothesis has been rejected, we should be aware of the possibility of? Only one answer A) confounding variable B) Type II errors C) change due to new observations D) insufficient power to detect differences
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- What is meant by the sample space of an experiment?In null hypothesis significance testing, detecting an effect or relationship in a statistical test when there isn't actually one in reality is referred to as which type of error?Since the p-value is (greater , less) than the significance ( do not reject , reject ) the null hypothesis and conclude that there is ( no , a ) relationship
- If a researcher is wrong in his decision and he rejects the null when the null is true, what type of error did the researcher make? Type I or Type IIa) In a chi-square test, the “expected” counts are the values we expect if there is an association between the variables. True False b) A small chi-square test statistic is consistent with the null hypothesis. True FalseA hypothesis test result is considered to be statistically significant only when?
- In a(n) ________ test, the null hypothesis should be rejected when the test value is in either of the two critical regions. Explain.A one-tailed sign test is applied to a set of paired data. There were 14 pairs and the 0.10 level of significance was selected. There were 9 pluses and 5 minuses. What is the decision regarding the null hypothesis? Fail to reject it Reject it Neither reject it nor fail to reject it based on information given None of the aboveWhich of the following statements about the False Discovery Rate (FDR) is correct? The FDR is the only method available for controlling multiple testing error in transcriptional profiling data The FDR cutoff value should be held to the same standard as the p-value cutoff when doing hypothesis testing The FDR can be interpreted as meaning “the proportion of the significant gene list one would expect to find significant by chance due to the multiple testing error” The FDR greatly simplifies analysis, allowing researchers to add many more treatment groups to their experimental designs Its best to save your signal intensity data before calculating the FDR, as the FDR calculation will change the signal values for all of your data
- Assume that matched pairs of data from a poll of Internet users who were asked if they make travel plans through the Internet result in 308 positive signs, 421 negative signs, and 30 ties when the value of the second variable is subtracted from the corresponding value of the first variable. Use the sign test with a 0.05 significance level to test the null hypothesis of no difference. Let ₁ denote the median of the first variable and ₂ denote the median of the second variable. What are the null and alternative hypotheses? OA. H: ₁ #11/₂ H₁:1₁ =1₂ ⒸC. Ho: 11₁ =11₂ H₁:1₁ #1₂ Find the test statistic. Test statistic = (Round to two decimal places as needed.) Find the P-value. P-value = (Round to four decimal places as needed.) Does the null hypothesis of no difference hold? O A. Since the P-value is greater than the significance level, reject the null hypothesis of no difference. ⒸB. Since the P-value is greater than the significance level, fail to reject the null hypothesis of no…Samples of Republicans, Democrats, and independents, have been tested for their level of support for welfare reform in the null hypothesis has been rejected. What may we conclude? A. The difference is significant, there are differences between the parties on this issue B. The difference is significant, the parties are the same on this issue C. The difference is not significant D. A type 1 error has occurredAssume that matched pairs of data from a poll of Internet users who were asked if they make travel plans through the Internet result in 350 positive signs, 319 negative signs, and 36 ties when the value of the second variable is subtracted from the corresponding value of the first variable. Use the sign test with a 0.05 significance level to test the null hypothesis of no difference. Let ₁ denote the median of the first variable and 1₂ denote the median of the second variable. What are the null and alternative hypotheses? OA. Ho: n₁ = 12 H₁: 1₁ #1₂ OC. Ho: 1₁2 112 H₁: 1₁ <1₂ Find the test statistic. Test statistic = Find the P-value. (Round to two decimal places as needed.) P-value= (Round to four decimal places as needed.) Does the null hypothesis of no difference hold? B. Ho: 1₁ = 12 H₁: 1₁ <12 O D. Ho: 1₁ #12 H₁:1₁ =1₂ OA. Since the P-value is less than the significance level, fail to reject the null hypothesis of no difference. OB. Since the P-value is greater than the significance…
