Consider a random sample of size n from a normal distribution with unknown mean u and unknown variance o?. Suppose the sample mean isX and the sample variance is S?."n = 16, the observed sample mean i is 8.9. the observed sample variance s is 25 and 40 = 10.5.Suppose we now want to test Ho : o? = of versus H1 : o + oj.Which of these test statistics should we use?Select one:(n-1)sO a. W =ofX-PoO b. Z%3DO c. T=What is the p-value of the (appropriate) observed test statistic for testing Ho : o? = o versus H1 : o? + o you just computed? Give answerto three decimal places.

Answered: Image /qna-images/answer/26d64c5f-4854-42e8-93f9-b2ca398f3e8c.jpg

Answered: Consider a random sample of size n from…

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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A researcher takes sample temperatures in Fahrenheit of 18 days from Pittsburgh and 16 days from Cleveland. Use the sample data shown in the table. Test the claim that the mean temperature in Pittsburgh greater than the mean temperature in Cleveland. Use a significance level of a = 0.01. Assume the populations are approximately normally distributed with unequal variances. Note that list 1 is longer than list 2, so these are 2 independent samples, not matched pairs. Pittsburgh Cleveland 99 82.1 91.2 60.4 88.1 75.5 91.8 79.5 96 73.3 90.6 57.5 91.5 63.4 69.5 64.1 88.6 78.9 89.2 93 86.2 76.7 83.9 57.5 107.1 58.4 98.5 80.7 82.2 81.4 72.4 55.2 85.2 105.3 The Null Hypotheses is: Ho: µ1 - µ2 = 0 What is the alterative hypothesis? Select the correct symbols for each space. (Note this may view better in full screen mode.) HA: µ1 - µ2 ? v Select an answer Based on these hypotheses, find the following. Round answers to 4 decimal places. Test Statistic = p-value =
Suppose that you want to perform a hypothesis test based on independent random samples to compare the means of two populations. You know that the two distributions of the variable under consideration have the same shape and may be normal. You take the two samples and find that the data for one of the samples contain outliers. Which procedure would you use? Explain your answer.
Suppose we have the following data collected from three randomly-selected counties: 1.What is the sample mean of x? Of y? 2.What is the sample standard deviation of x? Of y? (2 decimal places) 3.Please compute the sample correlation coefficient, r. (4 decimal places) County % with HS Degree (x) % in Poverty (y) A 90 5 B 20 25 C 40 15
Below is the question I am having a problem with as well as the portion of the answer I have come up with. I do not know if I am right or not, but I need an explanation to understand this, please. What information does the F ratio on the SPSS output for an independent sample T test provide? That is, what assumption does it test. A researcher might use the independent sample t test when he assumes that there will be equal mean populations between to variances. To calculate the independent sample t test, one would use this formula: t = m1-m2 SEm1-m2
Answer no. 10
A yogurt producer claims the variance on their yogurt containers is 4 grams or less . A sample of 30 containers had a sample variance of 9 grams. We want to test if the variance is greater than 4 (a=0.05) The correct alternative hypothesis to test the producer claim is : Select one: O a. HA :02 s4 O b. HA :02 > 16 29 O C. HA :02 > 4 36 O d. Ho :02 > 2 Finis e Next page
One sample has n=7 and SS=35 and a second sample has n =17 and SS =45. What is the pooled variance for these two samples?
Two samples, each with n = 5 scores, have a pooled variance of s 2 p = 40. What is the estimated standard error for the sample mean difference? a. s(M1 - M2) = 10 b. s(M1 - M2) = 20 c. s(M1 - M2) = 4 d. s(M1 - M2) = 8
I need answers for questions a and b please.
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A researcher was interested in knowing if mean BMI was different between males and females. He obtained the following test results. Choose the correct interpretation of the results: F test p value = 0.03 Two sample t test, assume equal variance = 0.02 Two sample t test, assume unequal variance = 0.06 Mean BMI is higher in males than females. None Mean BMI is not significantly different between males and females. Mean BMI is significantly different between males and females.

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