SUM 28.8 Select the null hypothesis for the statistical test for the population Pearson's correlation. r=-.015 p=-.698 p=0 r=-.309 78.5
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- The Pearson's correlation coefficient (r) between height and weight of 100 individuals is calculated to be 0.75. At a significance level of 0.05, test the hypothesis that the population correlation coefficient is different from 0.1.1Determine whether the given correlation coefficient is statistically significant at the specified level of significance and sample size. r=0.435, α=0.01, n=24 can you explain the formula, please? I saw another example but they were using a 2 value in the formula and I want sure where the 2 came from.
- 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 15What are the hypotheses for testing to see if a correlation is statistically significant? Hor=0: H₁r0 Ho: p=0: H₁p0 Ho: p= ±1: H₁p #±1 Ho: p = 0; H₁:p=1 Ho: r = ±1; H₁: r#±1Which of the following values of r indicates the strongest correlation?
- Test whether the correlation from question 1 is statistically significant (i.e., significantly different from 0). Report the df and p-value of the test. ID Alcohol (x) Tobacco (y) xy x^2 y^2 1 6.47 4.03 26.0741 41.8609 16.2409 2 6.13 3.76 23.0488 37.5769 14.1376 3 6.19 3.77 23.3363 38.3161 14.2129 4 4.89 3.34 16.3326 23.9121 11.1556 5 5.63 3.47 19.5361 31.6969 12.0409 6 4.52 2.92 13.1984 20.4304 8.5264 7 5.89 3.2 18.848 34.6921 10.24 8 4.79 2.71 12.9809 22.9441 7.3441 9 5.27 3.53 18.6031 27.7729 12.4609 10 6.08 4.51 27.4208 36.9664 20.3401 11 4.02 4.56 18.3312 16.1604 20.7936 Total 59.88 39.8 217.7103 332.3292 147.493In a random sample of 6 cell phones, the mean full retail price was $547.30 and the standard deviation was $176.00. Further research suggests that the population mean is $428.25. Does the t-value for the original sample fall between and to.95? Assume that the population of full retail prices for cell phones is normally distributed. - to.95 The t-value of t = fall between -1 -to.95 and to. .95 because to 95 = (Round to two decimal places as needed.)You believe both populations are normally distributed, but you do not know the standard deviations for either. And you have no reason to believe the variances of the two populations are equal You obtan a sample of size nį = 25 with a mean of 1 population. You obtain a sample of size n2 s2 = 13.9 from the second population. 63.7 and a standard deviation of s = 13.2 from the first 19 with a mean of g 67 and a standard deviation of
- 6.1 Suppose a normal distribution has a mean of 5 and a standard deviation of 1.8. What is the z-score of x = 8.9? Round to 1 decimal place.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 = 20In a sample of n=20 what would be the student's t test statistic for a correlation of r=0.400?