A company specializing in parachute assembly claims that its main parachute failure rate is at most 1%. You perform a hypothesis test to determine whether the company's claim is true or false. Your sample data resulted in enough evidence to go along with the claim made by the company. It was later determined that the claim made by the company was actually correct. What kind of error, if any, was committed? O Type I error O Type Il error O No error
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- Identify the type I error and the type Il error that correspond to the given hypothesis. The percentage of college students who own cars is equal to 35%. Identify the type I error. Choose the correct answer below. O A. Reject the null hypothesis that the percentage of college students who own cars is equal to 35% when that percentage is actually equal to 35%. O B. Fail to reject the null hypothesis that the percentage of college students who own cars is equal to 35% when the percentage is actually equal to 35%. O C. Reject the null hypothesis that the percentage of college students who own cars is equal to 35% when that percentage is actually different from 35%. O D. Fail to reject the null hypothesis that the percentage of college students who own cars is equal to 35% when that percentage is actually different from 35%. Identify the type Il error. Choose the correct answer below. O A. Fail to reject the null hypothesis that the percentage of college students who own cars is equal to…Describe the type I error and the type II error for a hypothesis tests of the given claim. The proportion of settled medical malpractice suits is 0.22. Which of the following is a type I error? A. Reject the claim that the proportion of settled malpractice suits is 0.22 when the proportion is actually different from 0.22. O B. Fail to reject the claim that the proportion of settled malpractice suits is 0.22 when the proportion is actually different from 0.22. C. Fail to reject the claim that the proportion of settled malpractice suits is 0.22 when the proportion is actually 0.22. O D. Reject the claim that the proportion of settled malpractice suits is 0.22 when the proportion is actually 0.22. Which of the following is a type II error? O A. Reject the claim that the proportion of settled malpractice suits is 0.22 when the proportion is actually different from 0.22. O B. Reject the claim that the proportion of settled malpractice suits is 0.22 when the proportion is actually 0.22. O C.…Identify the type I error and the type II error that corresponds to the given hypothesis. The proportion of adults who use the internet is greater than 0.27. Which of the following is a type I error? O A. Reject the claim that the proportion of adults who use the internet is 0.27 when the proportion is actually 0.27. O B. Fail to reject the claim that the proportion of adults who use the internet is 0.27 when the proportion is actually different from 0.27. O C. Reject the claim that the proportion of adults who use the internet is 0.27 when the proportion is actually different from 0.27. O D. Fail to reject the claim that the proportion of adults who use the internet is 0.27 when the proportion is actually 0.27. Which of the following is a type II error? O A. Fail to reject the claim that the proportion of adults who use the internet is 0.27 when the proportion is actually 0.27. O B. Reject the claim that the proportion of adults who use the internet is 0.27 when the proportion is…
- Explain the difference between statistical significance and practical significance. Choose the correct answer below. O A. Statistical significance means that the sample statistic is not likely to come from the population whose parameter is stated in the null hypothesis. Practical significance refers to whether the difference between the sample statistic and the parameter stated in the null hypothesis is large enough to be considered important in an application. O B. Statistical significance refers to how an unusual event is unlikely to actually appear in a real world application, such as every entry in a sample of size 50 having the same value. Practical significance refers to how an unusual event is likely to actually appear in a real world application, such as a rejection of a null hypothesis using data that looks feasible. O C. Statistical significance refers to the type of hypothesis test needed to analyze a population, with some tests being more important than Z tests. Practical…hopes that the results of a trial period will enable her to conclude with a level of significance of 0.05 that the new procedure increases the average profit of installing a carpet. What will be the consequences if she makes a Type I error on her hypothesis test? A Type I error would mean that Carpetland implements a new procedure that actually decreases profits. A Type I error would mean that Carpetland implements a new procedure that actually increases profits. A Type 1 error would mean that Carpetland does not implement a new procedure that increases profits. A Type I error would mean that Carpetland does not implement a new procedure that decreases profits.. A Type I error would mean that Carpetland implements a new procedure that actually does not increase profits. A Type I error would mean that Carpetland implements a new procedure that actually does not decrease profits.Identify the type l error and the type II error that correspond to the given hypothesis. The percentage of college students who own cars is equal to 35%. Identify the type I error. Choose the correct answer below. A. Reject the null hypothesis that the percentage of college students who own cars is equal to 35% when that percentage is actually equal to 35%. B. Fail to reject the null hypothesis that the percentage of college students who own cars is equal to 35% when that percentage is actually different from 3= OC. Reject the null hypothesis that the percentage of college students who own cars is equal to 35% when that percentage is actually different from 35%. D. Fail to reject the null hypothesis that the percentage of college students who own cars is equal to 35% when the percentage is actually equal to 35%. Identify the type |I error. Choose the correct answer below. A. Fail to reject the null hypothesis that the percentage of college students who own cars is equal to 35% when the…
- Mark performed a two-sample z-test for proportions to test the hypothesis that there was no difference in the proportion who support increasing student fees between male and female students at a particular university. Mark obtained a z-statistic of 0. Based on this information, which of the following is always true. The sample proportions for male and females will be the same as the hypothesized proportions for male and female students at this university. The sample proportions for both male and female students at this university will be 0. All male and female students in the sample will feel the same way about supporting the increase in student fees. The sample proportions will be the same for both male and female students at this university. Test whether p1>p2 The sample data are x1=116,n1=258,x2=135,n2=311. Conduct a test at the α=0.10 level of significance. Determine the correct null and alternative hypothesis below. Determine the test statistic. Find the P-value: What is…A newsletter publisher believes that less than 68 % of their readers own a Rolls Royce. For marketing purposes, a potential advertiser wants to confirm this claim. After performing a test at the 0.05 level of significance, the advertiser failed to reject the null hypothesis. What is the conclusion regarding the publisher's claim?A two-sample z-test for two population proportions is to be performed using the P-value approach. The null hypothesis is Hn: P, = p, and the altemative is H: P, #p2. Use the given sample data to find the P-value for the hypothesis test. Give an Interpretation of the p-value. A state university found it lost 25 students out of 352 in 2013 and 36 students out of 334 in 2014. O A P-value = 0. 0455; There is about a 4.55% chance that the two proportions are equal. O B. P-value = 0.091; If there is no difference in the proportions, there is about a 9.1% chance of seeing the observed difference or larger by natural sampling variation. OC. P-value = 0.0455; there is no difference in the proportions, there is about a 4.55% chance of seeing the observed difference or larger by natural sampling variation. O D. P-value = 0. 091; There is about a 9.1% chance that the two proportions are equal. O E. P-value = 0.9545: there is no difference in the proportions, there is about a 95.45% chance of…
- Identify the type I error and the type Il error that corresponds to the given hypothesis. The proportion of people who write with their left hand is equal to 0.17. Which of the following is a type I error? O A. Reject the claim that the proportion of people who write with their left hand is 0.17 when the proportion is actually 0.17. O B. Fail to reject the claim that the proportion of people who write with their left hand is 0.17 when the proportion is actually 0.17. O C. Reject the claim that the proportion of people who write with their left hand is 0.17 when the proportion is actually different from 0.17. O D. Fail to reject the claim that the proportion of people who write with their left hand is 0.17 when the proportion is actually different from 0.17. Which of the following is a type Il error? O A. Fail to reject the claim that the proportion of people who write with their left hand is 0.17 when the proportion is actually different from 0.17. OB. Reject the claim that the…A police office claims that the proportion of people wearing seat belts is less than 65%. To test this claim, a random sample of 200 drivers is taken and its determined that 126 people are wearing seat belts. The following is the setup for this hypothesis test: Ho :p-0.65 Ha : p < 0.65 In this example, the p-value was determined to be 0.277 come to a conclusion and interpret the results for this hypothesis test for a proportion (use a significance level of 5%) Select the correct answer below: O The decision is to reject the Null Hypothesis. The conclusion is that there is enough evidence to support the claim The decision is to fail to reject the Null Hypothesis. The conclusion is that there is not enough evidence to support the claimDescribe type I and type II errors for a hypothesis test of the indicated claim. A furniture store claims that at least 40% of its new customers will return to buy their next piece of furniture. Describe the type I error. Choose the correct answer below. OA. A type I error will occur when the actual proportion of new customers who return to buy their next piece of furniture is at least 0.40, but you fail to reject Ho: p20.40. OB. A type I error will occur when the actual proportion of new customers who return to buy their next piece furniture is at least 0.40, but you reject Ho: p20.40. OC. A type I error will occur when the actual proportion of new customers who return to buy their next piece of furniture is no more than 0.40, but you reject Ho: p ≤ 0.40. OD. A type I error will occur when the actual proportion of new customers who return to buy their next piece f furniture is no more than 0.40, but you fail to reject Ho: p ≤0.40. Describe the type II error. Choose the correct answer…