Preliminary data analyses indicate that the assumptions for using pooled t-procedures are satisfied. Independent random samples of released prisoners in the fraud and firearms offense categories yielded the given information on timeserved, in months. At the 5% significance level, do the data provide sufficient evidence to conclude that the mean time served for fraud is less than that for firearms offenses?(Note: x, = 11.89, s, = 4.22, x, = 19.54, and s, = 5.44.)E Click the icon to view the data table showing the time served for each offense......Letbe the mean time served for fraud µ, the mean time served for firearms offenses. What are the correct hypotheses to test?O A. Ho: H1 =H2B. Ho: H1 7H2Data tableHa: H1 # H2Ha: H1 = H2C. Ho: H1 > H2O D. Ho: H1= H2FirearmsFraudHa: H1 = H2Ha: H1 H2Ha: H1 = H27.711.2 20.6 12.714.7 17.7 22.4 24.5Compute the test statistic.t=(Round to three decimal places as needed.)Determine the P-value.PrintDoneP =(Round to four decimal places as needed.)What is the conclusion of the hypothesis test?Since the P-value isthan a,Ho. Conclude that the datasufficient evidence that the mean time served for fraud is less than that for firearms offenses.

Answered: Image /qna-images/answer/8bbbff2a-d5d1-4d9f-ad57-c8cd6c9e8fa2.jpg

Answered: Preliminary data analyses indicate that…

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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On a particular proposal of national importance, males and females cast votes as included in the following table In Favor Opposed Undecided Male 90 65 43 Female 115 74 32 Suggest an appropriate test for the data and analyze it at 1% level of significance.
2. Interpret this data.
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Monthly salary computations from two different clothing companies yielded the following data: n=7, ?=9,130$, ?=386$; ?= ?, ?=8,840$, ?=212$. At the level of significance 0.05, can we conclude that the mean monthly salary from the two companie is not the same?
. A process that cuts lengths of metal with high precision has historically produced metal rods with length that is normally distributed and with a mean of 800 millimetres (mm). Management at the factory is concerned that after an overhaul of the machine the mean length of the rods being produced could differ from the required 800 mm. If it is found that the rods are not being produced to specifications then the machine will have to be stopped for readjustment, with a consequent loss of production. The production line manager tasked with investigating the issue finds that a (random) sample of 25 rods yielded a mean length of 806 mm and a sample standard deviation of 10 mm. i. The mean of the sample is clearly not the required 800 mm. Say why this is not enough information in itself to say if the machine is operating correctly or not. ii. State the null and alternative hypotheses for this situation.
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An auditor for a local court system is tasked with comparing the rulings of two judges. The auditor needs to determine if Judge Hughes issues shorter sentences than Judge Wilson. The data below are the sentence lengths, in months, issued by each judge in their last twelve cases that dealt with operating a motor vehicle without a license. Test the claim that Judge Hughes issues shorter sentences than Judge Wilson for this particular type of case at the 0.05 level of significance. Let Judge Hughes' sentences be Population 1 and let Judge Wilson's sentences be Population 2. Assume that both populations are approximately normal and that the population variances are equal. Judge 24 12 12 30 36 30 12 18 24 12 24 30 Hughes Judge Wilson 36 36 24 24 24 24 18 12 30 24 18 30 Step 3 of 3: Draw a conclusion and interpret the decision. Copy Data
Examine whether the following sample could have come from a population with mean 15(assume normality): 16, 18, 13, 11, 20, 22, 11, 19, 18, 15. Use 95% level of significance.(Given: t0.05,10 = 1.812, t0.05,9=1.833, t0.01, 9=2.821, t0.01,10=2.764)
Monthly salary computations from two different companies yielded the following data: n1 = 7, x1=9,120$, s1=384$; n2 = 7, x2=8,820$, s2=214$. At the level of significance 0.05, can we conclude that the mean monthly salary from the two ompanies is not the same?
Identify the statistical procedures that are appropriate for the data. Childhood participation in sports, cultural groups, and youth groups appears to be related to improved self-esteem for adolescents (McGee, Williams, Howden-Chapman, Martin & Kawachi, 2006) in a representative study, a researcher compares scores on a standardized self-esteem questionnaire for a sample of n = 100 adolescents with a history of group participation and a separate sample of n = 100 who have no history of group participation.

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