Using traditional methods it takes 105 hours to receive an advanced driving license. A new training technique using Computer Aided Instruction (CAI) has been proposed. A researcher believes the new technique may reduce training time and decides to perform a hypothesis test. After performing the test on 50 students, the researcher fails to reject the null hypothesis at a 0.02 level of significance. What is the conclusion?
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- What is meant by the sample space of an experiment?What is an experiment? Give two examples.Using traditional methods it takes 101 hours to receive an advanced driving license. A new training technique using Computer Aided Instruction (CAI) has been proposed. A researcher believes the new technique may lengthen training time and decides to perform a hypothesis test. After performing the test on 170 students, the researcher fails to reject the null hypothesis at a 0.10 level of significance. What is the conclusion?
- According to the Pew Research Center, 14% of adults rate basketball as their favorite sport. Your boss believes the proportion may be lower among adults over age 65, and wants you to collect evidence to see if this is true. You take a survey of adults over age 65, and only 12 out of 120 of them rate basketball as their favorite sport. You would like to set �=0.05. What do you conclude? Group of answer choices Reject the null hypothesis because the test statistic is less than the critical value. Fail the reject the null hypothesis because the test statistic is less than the critical value. Fail to reject the null hypothesis because the test statistic is greater than the critical value. Reject the null hypothesis because the test statistic is greater than the critical value. thanksUsing traditional methods it takes 100 hours to receive an advanced flying license. A new training technique using Computer Aided Instruction (CAI) has been proposed. A researcher believes the new technique may reduce training time and decides to perform a hypothesis test. After performing the test on 120 students, the researcher decides to reject the null hypothesis at a .02 level of significance. What is the conclusion? Is there sufficient evidence?A larger treatment effect means the hypothesis test has more power. True or False?
- А. There is sufficient evidence to reject the claim u = 50.6. В. There is not sufficient evidence to support the claim u = 50.6. С. There is not sufficient evidence to reject the claim u = 50.6. D. There is sufficient evidence to support the claim u = 50.6. %3DThe death penalty is an issue that has caused great debate in the United States. In a Gallup poll, taken over a decade ago, out of 491 randomly selected adults, 319 stated that they were in favor of the death penalty. Using a hypothesis test (including the null hypothesis Ho and the alternative hypothesis H1) with a 0.01 significance level, test the claim that less than 2/3 of adults supported the death penalty at the time. Don’t neglect to write the proper conclusionWhen a null hypothesis is rejected, the test is said to be "statistically significant." If aresearcher reports a statistically significant test at the 1% significance level, can we concludethat it would have been significant at the 5% level? Clearly explain your answer.
- You are a research assistant at a zoo. The question of your study is "Has the proportion of baby zebras born in zoos has changed from 10%?". Your supervisor asks that you run a hypothesis test using an significance level of 0.05. Form the study you obtain a z-score of 1.89. Do you reject the null hypothesis and why?A newsletter publisher believes that over 33% of their readers own a laptop. For marketing purposes, a potential advertiser wants to confirm this claim. After performing a test at the 0.02 level of significance, the advertiser decides to reject the null hypothesis. What is the conclusion regarding the publisher's claim?A newsletter publisher believes that less than 50% of their readers own a laptop. For marketing purposes, a potential advertiser wants to confirm this claim. After performing a test at the 0.05 level of significance, the advertiser decides to reject the null hypothesis. What is the conclusion regarding the publisher's claim?