Self-Quiz Unit 2 (2)

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University of the People *

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1281

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Statistics

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Nov 24, 2024

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6

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Self-Quiz Unit 2 Started on Tuesday, 28 November 2023, 5:20 PM State Finished Completed on Tuesday, 28 November 2023, 5:20 PM Time taken 9 secs Grade 0.00 out of 10.00 ( 0 %) Question 1 Not answered Marked out of 1.00 Flag question Question text What is true when comparing the p- value to the significance level (α)? Question 1Answer a. P- value < α, reject H 0 . The data provide strong evidence supporting the alternative hypothesis. b. P- value > α, do not reject H 0 . we do not have sufficient evidence to reject the null hypothesis. c. All of the above Feedback Your answer is incorrect. The correct answer is: All of the above Question 2 Not answered Marked out of 1.00 Flag question
Question text What is the correct sequence of the four steps to complete the hypothesis testing for a single proportion? Question 2Answer a. prepare, check, calculate and conclude. b. check, prepare, calculate, and conclude. c. calculate, check, prepare and conclude. Feedback Your answer is incorrect. The correct answer is: prepare, check, calculate and conclude. Question 3 Not answered Marked out of 1.00 Flag question Question text The significance level α is Type 2 Error. Question 3Select one: True False Feedback The correct answer is 'False'. Question 4 Not answered Marked out of 1.00 Flag question
Question text The Pooled Proportion is used when the null hypothesis claim is on equal proportions. Question 4Select one: True False Feedback The correct answer is 'True'. Question 5 Not answered Marked out of 1.00 Flag question Question text How do we denote the probability of quantifying the strength of the evidence against the null hypothesis and in favor of the alternative hypothesis? Question 5Answer a. The p-value b. the significance level c. alpha Feedback Your answer is incorrect. The correct answer is: The p-value Question 6 Not answered Marked out of 1.00 Flag question Question text What do we call the sampling distribution under the null hypothesis?
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Question 6Answer a. normal distribution b. null distribution c. alternative distribution Feedback Your answer is incorrect. The correct answer is: null distribution Question 7 Not answered Marked out of 1.00 Flag question Question text When using the p-value method to evaluate a hypothesis testing, why do we check the conditions for P ̂ and construct the standard error using the null value, p 0 , instead of using the sample proportion like in the confidence interval method? Question 7Answer a. Because we are assuming the null hypothesis is true. b. Because we are assuming the alternative hypothesis is true. c. Because we are assuming the null hypothesis is false. Feedback Your answer is incorrect. The correct answer is: Because we are assuming the null hypothesis is true. Question 8 Not answered Marked out of 1.00
Flag question Question text Assuming all conditions are met for the difference of two sample proportions to be modeled using a normal distribution, what is the standard error of Question 8Answer a. b. c. Feedback Your answer is incorrect. The correct answer is: Question 9 Not answered Marked out of 1.00 Flag question Question text Match the graph to the corresponding hypothesis test: Question 9Answer a. H 0 : p = null value and H A : p≠ null; the sided hypothesis tests
b. H 0 : p = null value and H A : p < null; the sided hypothesis tests c. H 0 : p = null value and H A : p > null; the sided hypothesis tests Feedback Your answer is incorrect. The correct answer is: H 0 : p = null value and H A : p≠ null; the sided hypothesis tests Question 10 Not answered Marked out of 1.00 Flag question Question text Match the graph to the corresponding hypothesis test: Question 10Answer a. H 0 : p = null value and H A : p≠ null; the sided hypothesis tests b. H 0 : p = null value and H A : p < null; the sided hypothesis tests c. H 0 : p = null value and H A : p > null; the sided hypothesis tests Feedback Your answer is incorrect. The correct answer is: H 0 : p = null value and H A : p≠ null; the sided hypothesis tests
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