You will then computea statistic from the raw date. You can find the p value associated...
Please answer with proper calculations: no mean and sd required and not given. value 8 10 6 11 1. The degrees of freedom for the test are: 2. The critical value of t for the test is: 3. The calculated t statistic is 4. Based on the statistical test you can >reject the null hypothesis. >fail to reject the null hypothesis. >can not determine. >No answer text provided. 5. The null hypothesis would be: >there is no difference between the...
if a p - value is very small, this means If a P-value is very small, this means. A. The test statistic is not in the critical region B. You should fail to reject the null hypothesis C. You should reject the null hypothesis D. None of the above ОА ОВ С OD
(c)What is the test statistic? Give your answer to 3 decimal places. 5.971 (d)The p-value = 0.005. Which of the following is an appropriate conclusion? The data provides very strong statistical evidence that the average SENS reading after antihypertensive treatment is lower than the average SENS reading before antihypertensive treatment. The data does not provide statistical evidence that the the average SENS reading after antihypertensive treatment is lower than the average SENS reading before antihypertensive treatment. The data provides very...
Do a two-sample test for equality of means assuming unequal variances. Calculate the p-value using Excel. (a-1) Comparison of GPA for randomly chosen college juniors and seniors: x⎯⎯1x1 = 4.75, s1 = .20, n1 = 15, x⎯⎯2x2 = 5.18, s2 = .30, n2 = 15, α = .025, left-tailed test. (Negative values should be indicated by a minus sign. Round down your d.f. answer to the nearest whole number and other answers to 4 decimal places. Do not use "quick"...
Do a two-sample test for equality of means assuming unequal variances. Calculate the p-value using Excel. (a-1) Comparison of GPA for randomly chosen college juniors and seniors: x⎯⎯1x1 = 4.75, s1 = .20, n1 = 15, x⎯⎯2x2 = 5.18, s2 = .30, n2 = 15, α = .025, left-tailed test. (Negative values should be indicated by a minus sign. Round down your d.f. answer to the nearest whole number and other answers to 4 decimal places. Do not use "quick"...
Do a two-sample test for equality of means assuming unequal variances. Calculate the p-value using Excel. (a-1) Comparison of GPA for randomly chosen college juniors and seniors: x⎯⎯1x1 = 4.75, s1 = .20, n1 = 15, x⎯⎯2x2 = 5.18, s2 = .30, n2 = 15, α = .025, left-tailed test. (Negative values should be indicated by a minus sign. Round down your d.f. answer to the nearest whole number and other answers to 4 decimal places. Do not use "quick"...
Do a two-sample test for equality of means assuming unequal variances. Calculate the p-value using Excel. (a-1) Comparison of GPA for randomly chosen college juniors and seniors: x⎯⎯1 = 4, s1 = .20, n1 = 15, x⎯⎯2 = 4.25, s2 = .30, n2 = 15, α = .025, left-tailed test. (Negative values should be indicated by a minus sign. Round down your d.f. answer to the nearest whole number and other answers to 4 decimal places. Do not use "quick"...
Do a two-sample test for equality of means assuming unequal variances. Calculate the p-value using Excel. (a-1) Comparison of GPA for randomly chosen college juniors and seniors: x⎯⎯1 = 4, s1 = .20, n1 = 15, x⎯⎯2 = 4.25, s2 = .30, n2 = 15, α = .025, left-tailed test. (Negative values should be indicated by a minus sign. Round down your d.f. answer to the nearest whole number and other answers to 4 decimal places. Do not use "quick"...
(If any are cut off answer what you can see) 3A) 3b) 3C) 3D) You are conducting a multinomial Goodness of Fit hypothesis test for the claim that the 4 categories occur with the following frequencies: H:PA = 0.25; PB = 0.4; Pc = 0.1; PD 0.25 Complete the table. Report all answers accurate to three decimal places. Observed Expected Category Residual Frequency Frequency А 17 B 57 с 8 D 23 What is the chi-square test-statistic for this data?...
For the following questions, you will use the following data on particulate matter in air samples: Site Sample Size Mean Std. Dev. 1 8 36.25 14.56 2 8 36.00 2.88 You will test for a significant difference between means at the alpha=0.05 level. Calculate the standard error of the mean difference. Calculate the test statistic. What are the degrees of freedom? Should you reject or retain the null hypothesis In a study on differences in urinary creatinine levels...