e 1912. The means of two random samples of size 9 and 7 are 196-42 and 198-82 respectiveh.The sum of ihe squares of the deviations from the mean are 26-94 and 18:73 respectively. Can the samplesbe considered to have been drawn from the same normal population ? (Apply t-test).

The mean difference between the two sample which are independent for smaller sample size which is…

Answered: e 1912. The means of two random samples…

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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Information needed for the next two problems: A bored statistician is interested in researching length of commercial breaks on cable channels (ESPN, TNT, etc.) and comparing them to the length of commercial breaks on the networks (ABC, CBS, NBC, FOX). She times a random sample of commercials from each of the two types of broadcasts which are assumed to be normally distributed. Source n Mean(min.) Std. Dev. (min.) Cable 15 2.36 0.16 Network 12 2.18 0.13 Based on your previous answer for the upper bound and assuming the lower bound ratio of variances of cable to network is 0.5531, your conclusion about the spread of the variances of cable vs network commercials is O 1 is in the interval so statistically the same O O is in the interval so statistically the same O 1 is not in the interval so statistically different O O is in the interval so statistically not the same O 1 is in the interval so statistically not the same
Which of the following samples would have the largest standard error of the mean? It's not possible to tell n = 32 scores from a population with σ = 10 n = 89 scores from a population with σ = 20 n = 88 scores from a population with σ = 10 n =18 scores from a population with σ = 20
A population of N = 5 scores has a mean of u = 20 and a standard deviation of o = 4. Which of the following is the correct Interpretation of the standard deviation? O The average distance of scores from the mean of p- 20 is 5 points. O The average distance of scores from the mean of u = 20 is 1 point. The average distance of scores from the mean of u = 20 is 4 points. O The average squared distance of scores from the mean of u = 20 is 4 points.
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A sample of 100 scores has a mean of 58, a variance of 160, and an estimated standard error of 4. Which of these values is guaranteed to increase if the sample size is decreased to 10? a. none of these is likely to be changed very much by decreasing n. b. the value of the variance c. the value of the mean d. the value of the standard error
The Department of Agriculture wants to determine whether the mean yield per acre for a particular variety of soybeans is different this year compared to the historical avg yield of 520 bushels per acre. Thus, the null and alternative hypotheses are Ho: mu = 520 Ha: mu is not = to 520 You set out to conduct a hypothesis test at the 95% level. Mean yields are distributed Normally. You take a sample of 36 different acres. From this sample, you calculate a mean yield of 573 and a std deviation of 24. Do you reject or not-reject the null hypothesis? Group of answer choices Do not reject the null hypothesis. Reject the null hypothesis.
a sample of n = 10 score has ss= 108 what is the variance for this sample
Imagine that a researcher wants to compare the intelligence levels of Poodles to all dogs. He hypothesizes that Poodles will score differently than other dogs. He uses a standard test of dog intelligence in his study. The population of all dogs has a mean of μ = 100, and an SD of 15. He obtains a random sample of 500 Poodles and he finds that the mean intelligence score of the sample is 117. Is this a one- or two- tailed test? Write the Ho and Ha for this research question. What kind of statistic should be calculated to test the hypothesis? Compute that statistic by hand What should the researcher conclude? Write a blurb describing the results
I need help finding the test statistic and the P-value
Q5. A random sample of size n = 10 from a normal population has mean = 5.68 and a standard deviation s = 0.29. Construct a 95% C.I. for the true variance o? of the population.

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e 1912. The means of two random samples of size 9 and 7 are 196-42 and 198-82 The sum of ihe squares of the deviations from the mean are 26-94 and 18-73 respectively. Can the samples respectiveh be considered to have been drawn from the same normal population ? (Apply t-test).