Fat contents (x, in grams) for seven randomly selected hot dog brands that were rated as very good by consumer reporting magazines are shown below. 14 15 11 10 6 15 17 The normal scores for a sample of size 7 are as follows. −1.364 −0.758 −0.353 0 0.353 0.758 1.364 (b)Calculate the correlation coefficient for the (normal score, x) pairs. (Round your answer to four decimal places.) r =

Fat contents (x, in grams) for seven randomly selected hot dog brands that were rated as very good by consumer reporting magazines are shown below. 14 15 11 10 6 15 17 The normal scores for a sample of size 7 are as follows. −1.364 −0.758 −0.353 0 0.353 0.758 1.364 (b)Calculate the correlation coefficient for the (normal score, x) pairs. (Round your answer to four decimal places.) r =

Name: Fat contents (x, in grams) for seven randomly selected hot dog brands
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Description: Fat contents (x, in grams) for seven randomly selected hot dog brands that were rated as very good by consumer reporting magazines are shown below.14 15 11 10 6 15 17 The normal scores for a sample of size 7 are as follows.−1.364 −0.758 −0.3

A First Course in Probability (10th Edition)

10th Edition

ISBN:9780134753119

Author:Sheldon Ross

Publisher:Sheldon Ross

Chapter1: Combinatorial Analysis

Section: Chapter Questions

Problem 1.1P: a. How many different 7-place license plates are possible if the first 2 places are for letters and...

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You wish to determine if there is a positive linear correlation between the age of a driver and the number of driver deaths. The following table represents the age of a driver and the number of driver deaths per 100,000. Use a significance level of 0.05 and round all values to 4 decimal places. Driver Age Number of Driver Deaths per 100,000 21 19 27 20 58 31 77 31 47 24 50 26 Ho: ρ = 0Ha: ρ > 0 Find the Linear Correlation Coefficient r = Find the p-value p-value = The p-value is Greater than αα Less than (or equal to) αα The p-value leads to a decision to Reject Ho Accept Ho Do Not Reject Ho
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A biologist looked at the relationship between number of seeds a plant produces and the percent of those seeds that sprout. The results of the survey are shown below. Seeds Produced 68 56 61 Sprout Percent 60.6 69.2 = 0 48 64.7 64.6 #0 a. Find the correlation coefficient: b. The null and alternative hypotheses for correlation are: H₂: ? H₁: 2 The p-value is: 63 64.1 40 Round to 2 decimal places. 63 62 65.1 68.4 84 (Round to four decimal places) c. Use a level of significance of a = 0.05 to state the conclusion of the hypothesis test in the context of the study. O There is statistically significant evidence to conclude that there is a correlation between the number of seeds that a plant produces and the percent of the seeds that sprout. Thus, the regression line is useful. O There is statistically insignificant evidence to conclude that a plant that produces more seeds will have seeds with a lower sprout rate than a plant that produces fewer seeds. O There is statistically significant…
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Listed below are numbers of Internet users per 100 people and numbers of scientific award winners per 10 million people for different countries. Construct a scatterplot, find the value of the linear correlation coefficient r, and find the P-value of r. Determine whether there is sufficient evidence to support a claim of linear correlation between the two variables. Use a significance level of α = 0.05. Internet Users Award Winners 30 Internet Users 90 80.1 79.1 57.2 5.3 3.3 8.7 The linear correlation coefficient is r = (Round to three decimal places as needed.) Determine the null and alternative hypotheses. ▼ Ho: P H₁: p (Type integers or decimals. Do not round.) The test statistic is t=. (Round to two decimal places as needed.) The P-value is. (Round to three decimal places as needed.) 30 67.8 1.6 77.8 37.9 10.4 0.1 Internet Users 90 Because the P-value of the linear correlation coefficient is a linear correlation between Internet users and scientific award winners. (.... 30 Internet…
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