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With an alpha level set at 1%, retaining the null hypothesis means that:
one can be 1% sure that the null hypothesis is true
one can be 1% sure that the alternative hypothesis is true
one can be 95% sure that the null hypothesis is true
the data are likely assuming the null hypothesis is true
Step by step
Solved in 2 steps
- We calculate a statistical power and find that it is 0.61. This means that if the null hypothesis is ________, we have a ________% chance of rejecting the null hypothesis. Question 3 options: false; 61 false; 39 true; 39 true; 61In a recent Super Bowl, a TV network predicted that 44 % of the audience would express an interest in seeing one of its forthcoming television shows. The network ran commercials for these shows during the Super Bowl. The day after the Super Bowl, and Advertising Group sampled 111 people who saw the commercials and found that 43 of them said they would watch one of the television shows.Suppose you are have the following null and alternative hypotheses for a test you are running:H0:p=0.44Ha:p>0.44Calculate the test statistic, rounded to 3 decimal places z=In a recent Super Bowl, a TV network predicted that 50 % of the audience would express an interest in seeing one of its forthcoming television shows. The network ran commercials for these shows during the Super Bowl. The day after the Super Bowl, and Advertising Group sampled 93 people who saw the commercials and found that 46 of them said they would watch one of the television shows. Suppose you are have the following null and alternative hypotheses for a test you are running: H0:p=0.5Ha:p<0.5 Calculate the test statistic, rounded to 3 decimal places
- Does carrying around a good luck charm in one’s pocket affect one’s confidence level? The mean confidence level for the population is 20 on the Internal Confidence Scale. You recruit a sample of 25 participants to carry around a good luck charm in their pocket for a week. Then you have the participants take the Internal Confidence Scale. The sample has mean of 18.75 with sum of squares = 600. You use an alpha of .10 for your analysis. Conduct a hypothesis test. In the textbox below, answer the following questions: (A) Is there a significant effect? (B) Do you “reject the null” or “fail to reject the null”? Clearly explain/justify both your answers, mentioning specific values that you calculated such as the critical t and t statistic. (You must give a good explanation in order to get any credit for this problem. In addition, in your uploaded picture for this problem, you must show ALL your work/calculations in order to get credit for your answer.)Read through this scenario and look at the data that was collected. State the null and all possible research hypotheses. Review the results below (I used SPSS) and answer the questions that follow. Scenario: A researcher wants to see if gender and / or income affects the total amount of help given to a stranger who is sitting on the side of a busy road with a sign asking for help. The independent variables are gender, income, and the interaction of gender and income. The dependent variable is total help. He wants to know if one or both factors – or the interaction of the two - affects the total amount of help offered. Because he is analyzing two independent variables (gender and income), he used a factorial ANOVA. His results show the main effect of each of the independent variables on the dependent variable (total help) and the interaction effect. The researcher is using a 95% confidence interval which means that he wants to be at least 95% sure that his independent variables…When the F statistic is significant: Question 6 options: the values of the means that are closest together are the only ones that are significant. the values of the means that are furthest apart are the only ones that are significant. we know at least one pair of means differ, but do not know which specific means differ significantly. we fail to reject the null hypothesis.
- section 10.2 Step 1 of 3 : State the null and alternative hypotheses for the test. Fill in the blank below. Step 2 of 3 : Compute the value of the test statistic. Round your answer to three decimal places. Step 3 of 3: Do we reject the null hypothesis? Is there sufficient or insufficient data?A statistics professor wants to see if more than 80% of her students enjoyed her class. At the end of the term, she takes a random sample of students from her large class and asks, in an anonymous survey, if the students enjoyed taking her class. A p-value of o.12 in this problem indicates.. A 12% of students in teh sample enjoyed the class. there's a 12% chance that under 80% of all students enjoyed the olass. C there's a 12% chance that over 80% of all students enjoyed the class. D If it is true that 80% of all students enjoyed the class, there's only E 12% chance she d see this higha rate in her sample. 8. 9. 10 11 12 13 14 15 16 17 B.SECTION 10.2 Step 1 of 3 : State the null and alternative hypotheses for the test. Fill in the blank below. Step 2 of 3 : Compute the value of the test statistic. Round your answer to three decimal places. Step 3 of 3: Do we reject the null hypothesis? Is there sufficient or insufficient data?
- The primary concern for performing a hypothesis test to compare the means, 1 and 2, of two populations is deciding whether the mean of Population 1 is less than the mean of Population 2.a. Determine the null and alternative hypotheses. Note: Always place the mean of Population 1 on the left. b. Classify the hypothesis test as two-tailed, left-tailed, or right-tailed. a. Complete the hypotheses.H0: 1 ____________ (less than, equals, not equals, greater than) 2Ha: 1 ____________ (greater than, less than, equals, not equals) 2 b. This hypothesis test is __________ (two, right, left) tailed.Help asapConsider a hypothesis testing situation in which the null hypothesis is p = 0.48 and the alternative is p > 0.48. Data is gathered from a random sample, and calculations yield a value of z = 2.5. Which one of the following conclusions can be drawn based on this information? The P-value is larger than 0.10. There is a 2.5% chance that the null hypothesis is true. The value of 0.48 is called a statistic. The sample size must have been large. None of the above answers are correct.
