At a fish market, different measurements of a certain type of fish were recorded for a sample of 35 fish. An analysist used the data todevelop a linear model of the relationship between the weight (in grams) of the fish, and its length, height and width (all in cm). Theresults of the multiple linear regression to predict the weight of the fish are as follows:Regression StatisticsMultiple RR Square0.9710.943Adjusted R Square0.937Standard Error52.428Observations35dfSignificance FANOVAMSFRegression31402868467622.7170.12240.0000Residual31852112748.742Total341488079CoefficientsStandard Errort StatP-value-13.2InterceptLength-1009.076.50.000012.87.51.70.0971Height63.115.93.90.0004Width51.634.01.50.13911. What percentage of variation in weight is not explained by the regression model? Give youranswer correct to 1 decimal place.2. Use the ANOVA p-value to test the appropriate hypothesis at the 5% level of significance. For each one of the following questions, select thecorrect answer from the list below.v 15.1 State the decision about HoA. Reject the null hypothesis15.2 State the conclusion about H1B. Fail to reject the null hypothesisc. There is sufficient evidence for the alternative hypothesisD. There is insufficient evidence for the alternative hypothesis

Answered: 1. What percentage of variation in…

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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You are conducting a study to see if the proportion of men over 50 who regularly have their prostate examined is significantly less than 0.15. You use a significance level of a =0.02. Ho:p= 0.15 H1:p < 0.15 You obtain a sample of sizen= 504 in which there are 60 successes. What is the test statistic for this sample? (Report answer accurate to three decimal places.) test statistic = What is the p-value for this sample? (Report answer accurate to four decimal places.) p-value = The p-value is. O less than (or equal to) a O greater than a This test statistic leads to a decision to... O reject the null O accept the null O fail to reject the null As such, the final conclusion is that.. O There is sufficient evidence to warrant rejection of the claim that the proportion of men oven 50 who regularly have their prostate examined is less than 0.15. There is not sufficient evidence to warrant rejection of the claim that the proportion of men over 50 who regularly have their prostate examined is…
Let's examine the mean of the numbers 1, 2, 3, 4, 5, 6, 7, and 8 by drawing samples from these values, calculating the mean of each sample, and then considering the sampling distribution of the mean. To do this, suppose you perform an experiment in which you roll an eight-sided die two times (or equivalently, roll two eight-sided dice one time) and calculate the mean of your sample. Remember that your population is the numbers 1, 2, 3, 4, 5, 6, 7, and 8. The true mean (p) of the numbers 1, 2, 3, 4, 5, 6, 7, and 8 is The number of possible different samples (each of size n = 2) is the number of possibilities on the first roll (8) times the number of possibilities on the second roll (also 8), or 8(8) = 64. If you collected all of these possible samples, the mean of your sampling distribution of means (HM) would equal , and the standard deviation of your sampling distribution of means (that is, the standard error or GM) would be The following chart shows the sampling distribution of the…
8/ a. Test the claim that the contents of cans of diet soda have weights with a mean that is less than the mean for the regular soda. What are the null and alternative hypotheses? The test statistic, t, The P-value is State the conclusion for the test. A. Fail to reject the null hypothesis. There is sufficient evidence to support the claim that the cans of diet soda have mean weights that are lower than the mean weight for the regular soda. B. Reject the null hypothesis. There is not sufficient evidence to support the claim that the cans of diet soda have mean weights that are lower than the mean weight for the regular soda. C. Fail to reject the null hypothesis. There is not sufficient evidence to support the claim that the cans of diet soda have mean weights that are lower than the mean weight for the regular soda. D. Reject the null hypothesis. There is sufficient evidence to support the claim that the cans of diet soda have mean weights…
Test the hypothesis using the P-value approach. Be sure to verify the requirements of the test. Ho: p=0.8 versus H₁: p > 0.8 n = 250; x = 220; α = 0.05 Click here to view page 1 of the table. Click here to view page 2 of the table. Calculate the test statistic, Zo. Zo = 3.16 (Round to two decimal places as needed.) Identify the P-value. P-value= (Round to three decimal places as needed.)
Test the hypothesis using the P-value approach. Be sure to verify the requirements of the test. H0: p=0.7 versus H1: p>0.7 n=200; x=150; α=0.05 Click here to view page 1 of the table. LOADING... Click here to view page 2 of the table. LOADING... Calculate the test statistic, z0. z0=nothing (Round to two decimal places as needed.) Identify the P-value. P-value=nothing (Round to three decimal places as needed.) Choose the correct result of the hypothesis test for the P-value approach below. A. Do not reject the null hypothesis, because the P-value is less than α. B. Do not reject the null hypothesis, because the P-value is greater than α. C. Reject the null hypothesis, because the P-value is greater than α. D. Reject the null hypothesis, because the P-value is less than α.
Find the P-value. (Round to three decimal places as needed.) Based on these results, what is your conclusion? Choose the correct answer below. A. Rejectthe null hypothesis. There is not sufficient evidence of an association between race and the section of the apartment complex in which people live. B. Reject the null hypothesis. There is sufficient evidence of an association between race and the section of the apartment complex in which people live. C. Fail to reject the null hypothesis. There is sufficient evidence of an association between race and the section of the apartment complex in which people live. D. Fail to reject the null hypothesis. There is not sufficient evidence of an association between race and the section of the apartment complex in which people live
You may need to use the appropriate technology to answer this question. Consider the data. xi 2 6 9 13 20 yi 9 20 11 25 24 (a) What is the value of the standard error of the estimate? (Round your answer to three decimal places.) (b) Test for a significant relationship by using the t test. Use ? = 0.05. State the null and alternative hypotheses. H0: ?0 = 0Ha: ?0 ≠ 0 H0: ?0 ≠ 0Ha: ?0 = 0 H0: ?1 ≥ 0Ha: ?1 < 0 H0: ?1 = 0Ha: ?1 ≠ 0 H0: ?1 ≠ 0Ha: ?1 = 0 Find the value of the test statistic. (Round your answer to three decimal places.) Find the p-value. (Round your answer to four decimal places.) p-value = State your conclusion. Do not reject H0. We conclude that the relationship between x and y is significant. Reject H0. We conclude that the relationship between x and y is significant. Reject H0. We cannot conclude that the relationship between x and y is significant. Do not reject H0. We cannot conclude that the relationship between x and y is…
Help to find What type of test should be used Determine the null and alternative hypotheses. Let μd be the mean of the difference in prices between the same items at store A and store B. While either technology or the t-distribution table can be used to determine the P-value, for this problem, use technology to calculate the P-value.
If the level of significance is 0.05, and the P-value is 0.043, the decision would be to... 1. reject the null hypothesis. 2. make no decision because the difference between the level of significance and the p-value is not statistically significant. 3. use a nonparametric test because normality of the data cannot be established when the results are close. 4. fail to reject the null hypothesis.
Q25. Using the Pearson correlation coefficient, a study on addiction found a positive correlation between time of cravings and time of relapse (r = .51) in a sample of 20 people with a drug addiction. Using a two-tailed test at a .05 level of significance, test whether the correlation is significantly different than 0. Follow the prompts. Step 1. State the hypotheses. A B C D Step 2. Find the critical values. df = _______ CV = +/- (do not include +/-) DO NOT USE eTEXT TABLE C.5 - CVs ARE WRONG. Use table attached to homework instead. _________ Step 4. Make a decision about the null hypothesis. a. Reject H0 b. Retain H0
The dataset below that contains information on fuel efficiency (in miles/gallon) from random samples of cars with manual and automatic transmissions as well as cars with other transmissions. Do these data provide strong evidence of a difference between the average fuel efficiency of cars with manual and automatic transmissions in terms of their average citymileage? 1. Set up the null and alternative hypotheses.2. Compute the test statistic.3. State the p-value for the test. State the decision and conclusion of the test in context. Feel free to use excel, Rstudio, or any other methods to answer the Question! Thanks Auto Manual 77 22 126 30 52 28 62 26 62 29 106 20 27 27 28 22 24 26 26 26 30 26 21 23 21 28 23 29 25 25 20 25 20 22 18 17 17 27 14 25 15 19 18 27 17 30 14 23 18 24 17 23 14 22 15 23 18 24 17 27 14 23 19 22 17 25 17 19 14 26 16 21 16 23 14 18 17 18 17 18 14 18 16 19 16 19 14 21 18 18…
Answer the following to summarize the test of the hypothesis that there is no dependence between the two variables color vision of participant and trial outcome. For your test, use the 0.05 level of significance. a. Find the value of the test statistic. (Round to two or more decimal places.) b. Find the critical value for a test at the 0.05 level of significance. (Round to two or more decimal places.) c. Can we reject the hypothesis that there is no dependence between the variables color vision of participant and trial outcome? Use the 0.05 level of significance.

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