Given the following ANOVA table: Degrees Source of of Variance Freedom Mean Sum of Sum of F-stat Squares Squares Regression 2 5.5 Residual 22 2.507 Total What is the value of R? Report your answer to 3 decimals.

The second slide is the first part of the question and the first slide is the second part of the question

In a test of the difference between the two means below, what should the test value be for a t test? Sample mean Sample variance Sample size 0 -0.25 O -0.09 O -0.12 O-1.93 Sample 1 520 500 9 Sample 2 535 60 12

Where 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 20 5 25 59 10 25 16 2 24 19 4 Shall we reject or accept the claim that there is no difference in the mean number of deer per square kilometer in these different ecological locations? Use a 5% level of significance. (a) What is the level of significance?State the null and alternate hypotheses. Ho: ?1 = ?2 = ?3; H1: Exactly two means are equal.Ho: ?1 = ?2 = ?3; H1: At least two means are equal.    Ho: ?1 = ?2 = ?3; H1: All three means are different.Ho: ?1 = ?2 = ?3; H1: Not all the means are equal. (b) 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.)…

Where 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 35 17 2 30 53 6 20 19 2 26 19 8 Shall we reject or accept the claim that there is no difference in the mean number of deer per square kilometer in these different ecological locations? Use a 5% level of significance. (a) What is the level of significance? State the null and alternate hypotheses. Ho: μ1 = μ2 = μ3; H1: All three means are different.Ho: μ1 = μ2 = μ3; H1: Exactly two means are equal.    Ho: μ1 = μ2 = μ3; H1: Not all the means are equal.Ho: μ1 = μ2 = μ3; H1: At least two means are equal. (b) 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.)…

What are the values for SS and variance for the following sample of n = 3 scores? Sample:  8, 5, 2

what is the value in cell D? Round to 2 decimal places. How many total observations were there in the study? Hint: use df(total) to figure out the number of total observations.  The following computer output is for an analysis of variance in which yields (bu/acre) of different varieties of oats were compared. Answer the following questions based on this ANOVA table. Source df SS MS F ratio Prob Between groups 2 76.90 38.45 D 0.63 Within groups 11 859.81 78.16     Total 13 936.17

Given the following ANOVA table: Degrees Mean Source of of Variance Sum of Sum of F-stat Squares Freedom Squares | Regression 2 5.5 Residual 27 2.507 Total What is the value of SST? Please report your answer in 3 decimal places.

The following table summarizes the results of a study on SAT prep courses, comparing SAT scores of students in a private preparation class, a high school preparation class, and no preparation class. Use the information from the table to answer the questions. Treatment # of observations Sample Mean Sum of Squares (SS) private prep 60 680 265,500 high school prep 60 650 276,120 no prep 60 635 302,670 Using the data provided, calculate the values needed for the ANOVA summary table. (Hint: T, the treatment total, can be calculated as the sample mean times the number of observations. G, the grand total, can be calculated from the values of T once you have calculated them.) Source Sum of Squares (SS) df Mean Squares (MS) between treatments within treatments The sum of squares between treatments is The sum of squares within treatments is The df between treatments is The df within treatments is The mean square between treatments is The mean square within treatments is

Refer to the ANOVA table for this regression.  Source SS d.f. MS Regression 1,164,578 5 232,916 Residual 1,500,689 45 33,349 Total 2,665,267 50    (a) State the degrees of freedom for the F test for overall significance.