Researchers were interested in assessing whether stress levels are different at the beginning of the semester compared to finals week. To test this, stress was measured in 5 students at the start of the semester and then again at the end of the semester during finals week. What is the Sm (standard error)? Round to 2 decimal places.
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- Co-efficient of variation (treat the data as a sample)Match the coefficient of determination to the scatter diagram. The scales on the x-axis and y-axis are the same for each scatter diagram. (a) R² = 1, (b) R = 0.62, (c) R² = 0.12 (a) Scatter diagram Explanatory (b) Scatter diagram (c) Scatter diagram Explanatory Explanatory asuods ə asuodsə ResponseWhere are the deer? Random samples of square-kilometer plots were taken in different ecological locations of a national park. The deer counts per square kilometer were recorded and are shown in the following table. Mountain Brush Sagebrush Grassland Pinon Juniper 30 21 2 26 58 6 20 13 8 31 20 13 Find SSTOT, SSBET, and SSW and check that SSTOT = SSBET + SSW. (Use 3 decimal places.) SSTOT = SSBET = SSW = Find d.f.BET, d.f.W, MSBET, and MSW. (Use 2 decimal places for MSBET, and MSW.) dfBET = dfW = MSBET = MSW = Find the value of the sample F statistic. (Use 3 decimal places.) What are the degrees of freedom? Find the P-value of the sample test statistic. Make a summary table for your ANOVA test.
- Match the coefficient of determination to the scatter diagram. The scales on the x-axis and y-axis are the same for each scatter diagram. (a) R2 = 1, (b) R2 = 0.58, (c) R2 = 0.90 (a) Scatter diagram Explanatory (b) Scatter diagram (c) Scatter diagram Explanatory Explanat ory ResponseMatch the coefficient of determination to the scatter diagram. The scales on the x-axis and y-axis are the same for each scatter diagram. (a) R2 = 1, (b) R? =0.90, (c) R² = 0.58 (a) Scatter diagram I| Explanat ory (b) Scatter diagram (c) Scatter diagram Explanatory II ExplanatoryIghment-Responses/submit?dep%3D27933853&tags=Dautosave#question4005713_3 YouTube Maps The following table shows the number, in millions, graduating from high school in the United States in the given year.t After 1992, the number of high school graduates has increase Year Number graduating (in millions) 1985 2.83 1987 2.65 1989 2.47 1991 2.29 (a) By calculating differences, show that these data can be modeled using a linear function. (Let d be years since 1985 and N the number of graduating high school students, 1985 to 1987 1987 to 1989 1989 to 1991- Change in d 111 Change in N (b)hat is the slope for the linear function modeling high school graduations? (Round your answer to two decimal places.) million per year Explain in practical terms the meaning of the slope. This means that each year fewer v high school student graduated. (c) Find a formula for a linear function that models these data. (Let d be years since 1985 and N the number of graduating high school students, in millions.)…
- Two Factor ANOVA How do i fill in the missing values on the chart and find out if the interaction is significant?variation is a variation whose cause cannot be identified Select one:Explain how to calculate: df for independent samples t-test: df for dependent (paired) samples t-test: Cohen’s d for an independent samples t-test: Cohen’s d for a dependent (paired) samples t-test: Variance (r2) for an independent samples t-test: Variance (r2) for a dependent (paired) samples t-test: