show the step by step hypothesis testing t-Test: Two-Sample Assuming Equal VariancesDetermine if there is a significant difference between the GEC05 grades of males and females at 0.05 alpha.GEC05GEC 059996t-Test: Two-Sample Assuming Equal Variances98919190908989888888868585848484848180989897969593919089898989898988888784 83 80 80 79 77 75 75 76 75 70767680808080807978767370MeanVarianceObservationsPooled VarianceHypothesized Mean Differencedft StatP(T<=t) one-tailt Critical one-tailP(T<=t)two-tailt Critical two-tailGEC05 Grade(Male)86.9333333366.271264373050.747701150581.8666092460.0335069771.6715527620.0670139542.001717484GEC 05 Grade(Female)83.535.2241379330

The given data is GEC05 GEC05 99 96 98 91 98 91 98 90 97 90 96 89 95 89 93 88…

Answered: t-Test: Two-Sample Assuming Equal…

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

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In a hypothesis test, the null hypothesis states that the population proportion of individuals who support a certain political candidate is equal to 0.6. A sample of size 400 is taken and 175 individuals support the candidate. What is the Z-score for this hypothesis test?
A researcher wanted to determine if carpeted rooms contain more bacteria than uncarpeted rooms. The table shows the results for the number of bacteria per cubic foot for both types of rooms. Full data set O Carpeted Uncarpeted 9.4 9.1 16 10.8 6.4 10.8 14.8 8.8 11.5 11.6 13.7 9.4 10.7 12.4 13.4 7.8 Determine whether carpeted rooms have more bacteria than uncarpeted rooms at the a = 0.05 level of significance. Normal probability plots indicate that the data are approximately normal and boxplots indicate that there are no outliers. State the null and alternative hypotheses. Let population 1 be carpeted rooms and population 2 be uncarpeted rooms. OA Ho P1 H2 B. Ho H1 F2 OC Ho H= H2
Ho: H = Ho is a two-tailed hypothesis test True False
Solve for B
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Movie Theater Attendance: The data shown are the movie admissions, in thousands, of people attending movie theaters over two different time periods. At α = 0.05, is there a difference in the means for the movie attendance for these time periods? Use the traditional method of hypothesis testing unless otherwise specified. State the hypotheses and identify the claim. Find the critical value. Compute the test value. Make the decision. Summarize the results. Return of the Jedi (1983) Harry Potter 5 (2007) 6207 10579 4412 4395 6424 6031 8126 6607 8423 5357 7456 2431 4171 2140 3829 1969 3756 1778 5074 2384 6833 2866 5189 2337
You watch people exiting Dodgers stadium after a game and you write down the number of males and the number of females that exit the stadium past you during the 20 minutes that you spend watching. You assumed that there would be a perfectly equal number of males and females attending a Dodgers game, but you look at the number of males and females that you actually counted, and you see if you still think that is actually true. What kind of hypothesis test would allow you to do this? a. One-Factor, Independent-Measures ANOVA b. Two-Factor ANOVA c. Correlation/Regression d. Chi-Square Goodness of Fit
Students in a Psychology Stats class gathered 1st and 2nd year university students to gather self-report data on UFO, sightings during the past year. A year later the same students took the survey after taking LSD. The results of the self-report survey are as follows: Participant ID UFO sightings UFO sightings before LSD after LSD 1 1 2 1 3 2 2 4 1 3 3 1 7 3 A) State the Null and Alternative Hypothesis. B) Find the calculated "t" value and the critical "t" value C) State weather to accept or reject the Null Hypothesis
Number 1
27
A hypothesis test is to be performed. Describe the two possible outcomes of the test using the context of the given situation.Last month the average waiting time at a bank was 8.4 minutes. The manager has installed a new computer system and claims that people will no longer have to wait as long. The hypotheses are as follows:Null hypothesis: average waiting time = 8.4 minutes Alternative hypothesis: average waiting time < 8.4 minutes Rejecting the null hypothesis means there is insufficient evidence that the mean waiting time is equal to 8.4 minutes. Accepting the null hypothesis means there is evidence to conclude that the mean waiting time is equal to 8.4 minutes. Rejecting the null hypothesis means there is evidence that the mean waiting time is not equal to 8.4 minutes. Failing to reject the null hypothesis means there is insufficient evidence to conclude that the mean waiting time is less than 8.4 minutes. Rejecting the null hypothesis means there is…
Consider the following table in reference to a hypothesis test: Ho True Ho false (1) (3) Accept Ho Reject Ho (2) (4) A Type I error occurs if entry (3) occurs. 1) True 2) False

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