In a right-tailed test for the mean, is the alternate hypothesis (Ha) that the mean is less than, greater than, or not equal to the assumed value?
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- Can someone help me? :/In a study on running and happiness, runners indicated the number of miles they ran in a day and their subsequent score on a Happiness Survey (higher score = greater happiness). Runner # of miles (x) Happiness Score (y) 1 16 12 2 4 3 12 14 4 2 8 For these data: The mean of miles run is: 8.50 The mean of the Happiness scores is: 10.00 The standard deviation of the Miles scores is: 5.72 The standard deviation of the Happiness scores is: 3.16 In your submission, please include a copy of the SPSS or Excel output and answer the following: A. What is the r and r? value? B. Based on Pearson's r and r2 value, describe the relationship (direction/strength) that exists between # of miles run and Happiness scores. C. Create a scatterplot for the data using Excel or SPSS (include output in your submission). D. Insert the prediction line from Excel/SPSS on your scatterplot.Helllo, can you help me with this? I am still piled with other paper works. Can I have it after 1 and half hoour or in 2 hours? Thank yo for your kind consideration! God bless. - Referring on the given data below, compare the examination results in Science subject of the two groups of grade 9 students in Camanggaan National High School by computing their means, modes, ranges, MAD, Variance, standard deviations (treating the data as sample), skeweness and kurtosis. (Table at the pic) Which between the 2 groups performed better? Justify your answer. Which between the 2 groups is more consistent? Justify your answer. What types of distribution are the two groups of examinees in terms of skewness?
- in the same study on hours spent studying statistics, you decide to loook at the variance instead of the standard deviation! using the same set of scores (10,15,12, 18, 19, 16, and 12) the variance is _____. enter your answer rounded to two decimal places.Which of the following is a fundamental difference between the t statistic and a z-score? -The t statistic computes the standard error by dividing the standard deviation by n - 1 instead of by n. -The t statistic uses the sample variance in place of the population variance. -The t statistic uses the sample mean in place of the population mean. -All of these options are differences between t and z.For a random sample of 36 data pairs, the sample mean of the differences was 0.77. The sample standard deviation of the differences was 2. At the 5% level of significance, test the claim that the population mean of the differences is different from 0.
- A survey of 25 randomly selected customers found the ages shown (in years). The mean is 32.92 years and the standard deviation is 10.19 years. a) What is the standard error of the mean? b) How would the standard error change if the sample size had been 400 instead of 25? (Assume that the sample standard deviation didn't change.) 22 21 35 23 33 35 26 44 44 14 48 25 27 12 43 48 38 46 36 35 38 38 32 23 37 ... a) The standard error of the mean is (Round to two decimal places as needed.) b) How would the standard error change if the sample size was 400 instead of 25 with the same sample standard deviation? Select the correct choice below and fill in any answer boxes within your choice. O A. The standard error would increase. The new standard error would be times the old. B. The standard error would decrease. The new standard error would be the old standard error divided by O C. The standard error would not change.Professor Nord stated that the mean score on the final exam from all the years he has been teaching is a 79%. Colby was in his most recent class, and his class’s mean score on the final exam was 82%. Colby decided to run a hypothesis test to determine if the mean score of his class was significantly greater than the mean score of the population. α = .01. What is the mean score of the population? What is the mean score of the sample? Is this test one-tailed or two-tailed? Why?Do men talk less than women? The table shows results from a study of the words spoken in a day by men and women. Assume that the two samples are randomly selected, independent, the population standard deviations are not know and not considered equal. At the 0.05 significance level, test the claim that the mean number of words spoken by men is less than the mean number of words spoken by women. Men Women n1 = 212 n2 = 218 xˉx̄1 = 15706.4 words xˉx̄2 = 15683.2 words s1 = 1595.44 words s2 = 1597.54 words What are the correct hypotheses? (Select the correct symbols and use decimal values not percentages.)H0: Select an answer μ₁ μ σ₁² x̄₂ p x̄₁ s₁² p̂₁ μ(men) p₂ p₁ μ₂ ? ≤ > ≥ = ≠ < Select an answer μ₁ p₁ μ₂ x̄₂ σ₁² p̂₁ μ s₁² μ(women) p x̄₁ p₂ H1: Select an answer p̂₂ p s₂² σ₂² μ(men) μ μ₂ x̄₂ x̄₁ p₂ μ₁ p₁ ? < > = ≠ ≥ ≤ Select an answer μ₂ μ p₂ s₁² p₁ x̄₁ σ₁² p̂₁ p μ₁ x̄₂ μ(women) Original Claim = Select an answer H₁ H₀ df = Based on the hypotheses, find the…
- 7How do I tell if I have a one-sample t-test or an indepenent-samples t-test in the following situation? I have a group that has received a financial benefit and were chosen to rate their happiness after receiving that benefit. However, all members, those in the sample and those in the total group received the same beneifit. Do I have two groups and need an independent samples t-test or do I have one group measured against the mean?16 34 41 21 340 A survey of 25 randomly selected customers found the ages shown (in years). The mean is 31.64 years and the standard deviation is 9.62 years. a) What is the standard error of the mean? 38 43 26 43 20 b) How would the standard error change if the sample size had been 400 instead of 25? (Assume that the sample standard deviation didn't change.) 26 20 36 32 32 35 11 25 48 30 31 25 40 46 38 a) The standard error of the mean is (Round to two decimal places as needed.) b) How would the standard error change the sample size was 400 instead of 25 with the same sample standard deviation? Select the correct choice below and fill in any answer boxes within your choice. O A. The standard error would increase. The new standard error would be times the old, O B. The standard error would decrease. The new standard error would be the old standard error divided by O C. The standard error would not change.
