A distribution and the observed frequencies of the values of a variable from a simple random sample of the population are provided below. Use the chi-square goodness-of-fit test to decide, at the specified significance level, whether the distribution of the variable differs from the given distribution. Distribution: 0.1875, 0.25, 0.3125, 0.25 0 Observed frequencies: 20, 21, 20, 35 Significance level = 0.05 Determine the null and alternative hypotheses. Choose the correct answer below. O A. Ho: The distribution of the variable differs from the given distribution. H₂: The distribution of the variable is the same as the given distribution. OB. Ho: The distribution of the variable differs from the normal distribution. H₂: The distribution of the variable is the normal distribution. OC. Ho: The distribution of the variable is the same as the given distribution. H₂: The distribution of the variable differs from the given distribution. O D. Ho: The expected frequencies are all equal to 5. Ha: At least one expected frequency differs from 5. C

A distribution and the observed frequencies of the values of a variable from a simple random sample of the population are provided below. Use the chi-square goodness-of-fit test to decide, at the specified significance level, whether the distribution of the variable differs from the given distribution. Distribution: 0.1875, 0.25, 0.3125, 0.25 0 Observed frequencies: 20, 21, 20, 35 Significance level = 0.05 Determine the null and alternative hypotheses. Choose the correct answer below. O A. Ho: The distribution of the variable differs from the given distribution. H₂: The distribution of the variable is the same as the given distribution. OB. Ho: The distribution of the variable differs from the normal distribution. H₂: The distribution of the variable is the normal distribution. OC. Ho: The distribution of the variable is the same as the given distribution. H₂: The distribution of the variable differs from the given distribution. O D. Ho: The expected frequencies are all equal to 5. Ha: At least one expected frequency differs from 5. C

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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Trials in an experiment with a polygraph include 96 results that include 24 cases of wrong results and 72 cases of correct results, Use a 0.01 significance level to test the claim that such polygraph results are correct less than 80% of the time. Identify the null hypothesis, alternative hypothesis, test statistic, P-value, conclusion about the null hypothesis, and final conclusion that addresses the original claim. Use the P-value method. Use the normal distribution as an approximation of the binomial distribution. Let p be the population proportion of correct polygraph results. Identify the null and alternative hypotheses. Choose the correct answer below. O A. H p=0.80 H,: p#0.80 O B. H p=0.20 H p> 0.20 O D. H, p=0.20 H, p 0.20 OC. Ho p= 0.80 H,: p>0.80 O E. Ho p=0.20 H,: p<0.20 O F. Ho p=0.80 H;: p<0.80 The test statistic is z= (Round to two decimal places as needed.) The P-value is (Round to four decimal places as needed.) Identify the conclusion about the null hypothesis and the…
edu/ultra/courses/_313006_1/cl/outline * Question Completion Status: QUESTION 1 EPA fuel economy estimates for automobile models tested recently predicts a mean of 24 mpg and a standard deviation of 6 mpg. Assume that a Normal model applies, N(24, 6). What proportion of automobiles would you expect to have gas mileage of more than 27 mpg? a. 0.6915 b. 0.0013 Oc C. 0.5000 O d. 0.3085 QUESTION 2
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Distinguish between known mathematical distributions and empirical distributions. What information is needed to simulate using a known mathematical distribution?
Why probabilty distributions range negative infinity to positive infinity transform it into zero to posoitive infinity be cause the real dataset is positively skew if it is true then explain it briefly?
Options for this answer are: fit OR do not fit; are not OR are; a good chance OR very little chance; is not OR is; Test Statistic, X^2: 20.9222 Critical X^2: 15.5073 P-Value: 0.0074
How do I find the point estimate s^2? I was wondering about the formula used for excel as well.
dentify the null hypothesis (, alternative hypothesis , test statistic, critical value(s), P-value (range of P-value), conclusion about the null hypothesis, and final conclusion that addresses the original claim. Assume that the two samples are independent simple random samples selected from normally distributed populations. Do not assume that the population standard deviations are equal. Use a 0.05 significance level to test the claim that the mean IQ score of people with low lead levels is greater than the mean IQ score of people with high lead levels. 2. Construct a confidence interval suitable for the testing the given claim. Low Lead Level High Lead Level n 1 = 78 n 2 = 21 X1=92.88 X2=86.90 s 1 = 15.34 S2=8.99
What is the Test Statistic? What is the P-Value How can you interperate
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