Question Answered step-by-step 1 of20 In hypothesis testing, the hypothesis which is tentatively…1 of 20 In hypothesis testing, the hypothesis which is tentatively assumed to be true is called the correct hypothesis null hypothesis alternative hypothesis level of significanceQuestion2 of 20 Hypotheses in a significance test are always stated in terms of the population parameters. True FalseQuestion3 of 20 When a sample statistic is close to the hypothesized population parameter, the p-value for a significance test will typically be low. True FalseQuestion4 of 20 The alternative hypothesis states that there is no difference/no effect. True FalseQuestion5 of 20 When testing the following hypothesesHo: p = 0.7, Ha: p > 0.7The null hypothesis will be rejected if the test statistic z is z > za z < za z < -za none of the aboveQuestion6 of 20 A hypothesis test in which rejection of the null hypothesis occurs for values of the point estimator in either tail of the sampling distribution is called the null hypothesis the alternative hypothesis a one-tailed test a two-tailed testQuestion7 of 20 A consumer agency wants to test whether gallon milk prices have dropped below the $3 level and has gathered sample data showing the mean of the sample is $2.85. At the a=.05 level of significance, is there enough evidence to conclude that the mean price of a gallon of milk is less than $3.00? Which would be correct hypotheses for this test? Ho: µ = $3, Ha: µ > $3 Ho: µ < $3,="" ha:="" µ="$3" $3,="" ha:="" µ=""> Ho: µ ? $3, Ha: µ = $3 Ho: µ = $3, Ha: µ ? $3 Ho: µ = $3, Ha: µ < $3="">Question8 of 20 If the results of a hypothesis test are significant at the 1% level then they are also significant at the 5% level True FalseQuestion9 of 20 We always test a null hypothesis against an alternative. True FalseQuestion10 of 20 It is claimed that 66% of Boston residents have considered moving to a warmer climate. A group of city council members is hoping that the actual figure is lower than that, and wish to conduct a hypothesis test at the a=.05 level of significance to determine if they are right. Which would be correct hypotheses for this test? Ho: p = 0.66, Ha: p < 0.66 Ho: p ? 0.66, Ha: p = 0.66 Ho: p = 0.66, Ha: p > 0.66 Ho: p < 0.66, Ha: p = 0.66 Ho: p = 0.66, Ha: p ? 0.66Question11 of 20 If the p-value is .013, the probability that Ho is true is only .013 True FalseQuestion12 of 20 If a p-value for a 2-sided test equals .065, the p-value for the 1-sided test using the same sample data will not be significant at the 1% level. True FalseQuestion13 of 20 For finding the p-value when the population standard deviation is unknown we use the z distribution the t-distribution with n - 1 degrees of freedom the t-distribution with n + 1 degrees of freedom none of the aboveQuestion14 of 20 A statistics professor announces to the class that a majority of students who take his class earn an A. A skeptical group of students suspects that this is too good to be true. If they were going to conduct a hypothesis test, what would the appropriate hypotheses be? Ho: p < 0.50, Ha: p = 0.50 Ho: p = 0.50, Ha: p < 0.50 Ho: p > 0.50, Ha: p = 0.50 Ho: p = 0.50, Ha: p > 0.50Question15 of 20 A t-test is used when the population standard deviation for a mean is unknown. True FalseQuestion16 of 20 If our sample value is close to the null/population value, we conclude that we can neither accept or reject the null. something happened in the study; there is a significant effect. nothing happened in the study; there is no effect. something happened in the study, but the effect is very small.Question17 of 20 Which of the following does not need to be known in order to compute the P-value? knowledge of whether the test is one-tailed or two-tailed the value of the test statistic the level of significance all of the above are needed none of the above are neededQuestion18 of 20 If our P-value is really small, that indicates which of the following? (Select all that apply) The probability of our observed results occurring given the null hypothesis is very small, thus the null hypothesis is probably not true. The null hypothesis is true. The probability of our observed results occurring given the null hypothesis is very small, thus the null hypothesis is probably true. We should fail to reject the null hypothesis. We should reject the null hypothesis. The null hypothesis is false.Question19 of 20 Which of the following is the first step in hypothesis testing? It does not matter where you begin when you test hypotheses. Developing a null and alternative hypothesis. Drawing a sample from the population. Setting the cutoff value for rejecting the null hypothesis.Question20 of 20 Let’s suppose we conduct a hypothesis test about the mean value of something, and determine that we should reject the null hypothesis. What does that mean? Our hypothesized mean has been proven incorrect. The difference between our sample mean and our hypothesized mean was most likely due to random chance. The difference between our sample mean and our hypothesized mean was statistically significant. The difference between our sample mean and our hypothesized mean was not statistically significant.Math PSY 230
