Calendar08.07 WebAssign: Section 8.2: Te XW Section 8.2: Testing Mean with K Xi webassign.net/web/Student/Assignment-Responses/submit?dep=23798486&tags=autosave#question3878843_3E student.fz.k12.mo.us bookmarksI Future Plans Tyler StudentÉ AP Students - Coll.A Launch DashboardO Canvas DashboardCalendara0 Duolingo* MackinVIA ap stats bookA ap stats assignmen.E ap us history textbo.CENGAGE WEBASSIGNO ENfolkertsemma25@student.fz.k12.mo.us (sign out)HomeMy AssignmentsGradesCommunicationCalendarE My eBooksE MASTER - AP Statistics 20-21, section APStats (Sem 2) SP21,* INSTRUCTORSection 8.2: Testing Mean with Known SD (Homework)Justin ThomasSpringfield Public Schools.MOA Print AssignmentCurrent ScoreDue DateQUESTION5SAT, MAY 29, 2021134TOTAL SCORE11:59 PM CDTPOINTS1/11/11/16/84/413/1586.7%+ Request ExtensionAssignment Submission & ScoringAssignment SubmissionFor this assignment, you submit answers by question parts. The number of submissions remaining for each question part only changes if you submit or change the answer.Assignment ScoringYour last submission is used for your score.1. [1/1 Points]DETAILSPREVIOUS ANSWERSBBUNDERSTAT12HS 8.2.001.MY NOTESASK YOUR TEACHERFor the same sample data and null hypothesis, how does the P-value for a two-tailed test of u compare to that for a one-tailed test?O The P-value for a two-tailed test is three times the P-value for a one-tailed test.O The P-value for a two-tailed test is twice the P-value for a one-tailed test.O The P-value for a two-tailed test is half the P-value for a one-tailed test.Sign outUS♥ ® 8:44

Name: Calendar08.07 WebAssign: Section 8.2: Te XW Section 8.2: Testing Mean
Uploaded: 2024-03-20T07:07:12.000Z
Channel: Bartleby
Description: Calendar08.07 WebAssign: Section 8.2: Te XW Section 8.2: Testing Mean with K Xi webassign.net/web/Student/Assignment-Responses/submit?dep=23798486&tags=autosave#question3878843_3E student.fz.k12.mo.us bookmarksI Future Plans Tyler StudentÉ AP Studen

In statistics, a two tailed test is a method in which the critical area of distribution is two sided…

Math

Statistics

1. [1/1 Points] DETAILS PREVIOUS ANSWERS BBUNDERSTAT12HS 8.2.001. For the same sample data and null hypothesis, how does the P-value for a two-tailed test of u compare to that for a one-tailed test? O The P-value for a two-tailed test is three times the P-value for a one-tailed test. The P-value for a two-tailed test is twice the P-value for a one-tailed test. O The P-value for a two-tailed test is half the P-value for a one-tailed test.

1. [1/1 Points] DETAILS PREVIOUS ANSWERS BBUNDERSTAT12HS 8.2.001. For the same sample data and null hypothesis, how does the P-value for a two-tailed test of u compare to that for a one-tailed test? O The P-value for a two-tailed test is three times the P-value for a one-tailed test. The P-value for a two-tailed test is twice the P-value for a one-tailed test. O The P-value for a two-tailed test is half the P-value for a one-tailed test.

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

See similar textbooks

Similar questions

You wish to test the following claim (H) at a significance level of a = Ho: P1 = P2 Ha: P₁ P2 You obtain a sample from the first population with 122 successes and 438 failures. You obtain a sample from the second population with 63 successes and 304 failures. test statistic = p-value = [three decimal accuracy] 0.001. [four decimal accuracy]
0. A high school principal claims that the variance in the GPA of students in the graduating class is Tess than 0.39. You test this claim by sampling 31 seniors and find their GPA have a variance or 0.21. Ho:o? Ha:o2 < 0.39 (Claim) = 0.39 Is there enough evidence to reject Ho and support the principal's claim at a 0.10 level of significance? ohs A. No, the test statistic x? B. No, the test statistic x2 = 16.154 is not in the rejection region with critical value 40.256 C. Yes, the test statistic x? D. No, the test statistic x2 = 21.434 is not in the rejection region with critical value 20.599 E. Yes, the test statistic x? = 16.154 is in the rejection region with critical value 20.599 = 20.599 is not in the rejection region with critical value 21.434 %3D 20.599 is in the rejection region with critical value 16.154 %D
Previously, 12.1% of workers had a travel time to work of more than 60 minutes. An urban economist believes that the percentage has increased since then. She randomly selects 80 workers and finds that 18 of them have a travel time to work that is more than 60 minutes. Test the economist's belief at the x = 0.1 level of significance. What are the null and alternative hypotheses? P = 0.121 versus H1: p Ho: p (Type integers or decimals. Do not round.) > 0.121 Because npo (1- Po) = < 10, the normal model may not be used to approximate the P-value. (Round to one decimal place as needed.)
(i) Determine whether the hypothesis test is one tailed or two tailed. (ii) Find the P-value. Round the answer to four decimal places. (iii) Make the decision and summarize the results.
Previously, 10.4% of workers had a travel time to work of more than 60 minutes. An urban economist believes that the percentage has increased since then. She randomly selects 75 workers and finds that 16 of them have a travel time to work that is more than 60 minutes. Test the economist's belief at the a = 0.1 level of significance. What are the null and alternative hypotheses? 0.104 versus H1: p Ho: p P = (Type integers or decimals. Do not round.) > 0.104 %3D Because npo (1- Po) 10, the normal model be used to approximate the P-value. %3D (Round to one decimal place as needed.)
my answer for part b) of 6.24 was: (4.3, 9.26) so the variability in Hours is equal to 4.3 hours to 9.26 hours and in minutes its 258 to 555.6 minutes. I also posted 6.24 the previous exercise so that you have all the information but I need help with 6.25.
EXAMPLE 2 Fewer Than 30% of Adults Have Sleepwalked? Using the same sleepwalking data from Example 1 (n = 20,000 and ôi = 28.5% would a reporter be justified in stating that “fewer than 30% of adults have sieef - walked"? Let's use a 0.05 significance level to test the claim that for the adult popu- lation, the proportion of those who have sleepwalked is less than 0.30.
One study compared the differences between the expected values of two groups, i.e. tested the null hypothesis that the expected values are equal. The sample size of the first group (x-observations) was 55 and the sample size of the second group (y-observations) was 60. The following data was obtained.X=113.6, Y= 111.7S2x=32.4S2y=30.1Assume large sample sizes and use a test size and two-tailed test appropriate for this setting. Calculate the p-value of the test. Give the answer to two decimal places. Remember the correct decimal separator.
A sample of 100 yielded a test statistic of 2.1. For a level of significance of 0.05, the null hypothesis was rejected. What was the sample proportion for the sample of .1 100? What was the p-value for this test? 0.864
A manufacturer of potato chips would like to know whether its bag filling machine works correctly at the 434 gram setting. Based on a 14 bag sample where the mean is 437 grams and the variance is 121, is there sufficient evidence at the 0.05 level that the bags are overfilled? Assume the population distribution is approximately normal. Step 1 of 5: State the null and alternative hypotheses. Step 2 of 5: Find the value of the test statistic. Round your answer to three decimal places. Step 3 of 5: Specify if the test is one-tailed or two-tailed. Step 4 of 5: Determine the decision rule for rejecting the null hypothesis. Round your answer to three decimal places.
Is psychiatric history dependent on where the mother lives (country or city)? The test statistics for this hypothesis test are.... How to run t-test? which variable goes where? I attached images, is that correct and where to get the t statistic and p-value?
In the test of hypothesis H0:μ=100 vs . Ha:μ≠100, we already have the p-value for this test: P-value=0.025. Which of the following (with the reason) will be correct with significance level at .05? The information is not enough to make a decision. Reject H0 since the P-value is less than the significance level. Reject H0 since the P-value is greater than .01. Fail to reject H0 since the P-value is greater than .01. Fail to reject H0 since the P-value is less than the significance level.