A random sample of five observations from three normally distributed populations produced the following data: (You may find it useful to reference the F table.) Treatments A B C 23 30 30 31 29 18 15 23 15 22 23 27 25 31 15 x−A = 23.2 x−B = 27.2 x−C = 21.0 s2A = 33.2 s2B = 15.2 s2C = 49.5 Click here for the Excel Data File a. Calculate the grand mean. (Round intermediate calculations to at least 4 decimal places and final answer to 4 decimal places.) b. Calculate SSTR and MSTR. (Round intermediate calculations to at least 4 decimal places and final answers to 4 decimal places.) c. Calculate SSE and MSE. (Round intermediate calculations to at least 4 decimal places and final answers to 4 decimal places.) d. Specify the competing hypotheses in order to determine whether some differences exist between the population means. H0: μA = μB = μC; HA: Not all population means are equal. H0: μA ≤ μB ≤ μC; HA: Not all population means are equal. H0: μA ≥ μB ≥ μC; HA: Not all population means are equal. e-1. Calculate the value of the F(df1, df2) test statistic. (Round intermediate calculations to at least 4 decimal places and final answer to 3 decimal places.)
A random sample of five observations from three normally distributed populations produced the following data: (You...
Ch 13 Q1 Random sampling from four normally distributed populations produced the following data: (You may find it useful to reference the E Treatments -16 -10 -8-14-19 -10 -12 -15 14 -19 -16 DClick here for the Excel Data File a. Calculate the grand mean. (Negative value should be indicated by a minus sign. Round your answer to 2 decimal places.) Grand mean b. Calculate SSTR and MSTR. (Round intermediate calculations to at least 4 decimal places and final answers...
A random sample of five observations from three normally distributed populations produced the following data: (You may find it useful to reference the F table.) Treatments 22 28 23 XA = 24.8 SA = 48.2 25 XR = 21.6 = 27.3 24 23 27 = 24.0 = 21.0 X d. Specify the competing hypotheses in order to determine whether some differences exist between the population means. OHO: MA - MB - MC; HA: Not all population means are equal. OHO:...
An analysis of variance experiment produced a portion of the accompanying ANOVA table. (You may find it useful to reference the F table.) a. Specify the competing hypotheses in order to determine whether some differences exist between the population means. H0: μA = μB = μC = μD; HA: Not all population means are equal. H0: μA ≥ μB ≥ μC ≥ μD; HA: Not all population means are equal. H0: μA ≤ μB ≤ μC ≤ μD; HA: Not...
Consider the experimental results for the following randomized block design. Make the calculations necessary to set up the analysis of variance table. Treatments A B C Blocks 1 10 9 8 2 12 6 5 3 18 15 14 4 20 18 18 5 8 7 9 Use α = 0.05 to test for any significant differences. State the null and alternative hypotheses. H0: μA = μB = μC Ha: Not all the population means are equal. H0: μA =...
Consider the experimental results for the following randomized block design. Make the calculations necessary to set up the analysis of variance table. Treatments A B C Blocks 1 10 9 8 2 12 6 5 3 18 16 14 4 20 18 18 5 8 7 8 Use α = 0.05 to test for any significant differences. State the null and alternative hypotheses. H0: μA ≠ μB ≠ μC Ha: μA = μB = μCH0: μA = μB = μC...
Consider the following competing hypotheses and accompanying sample data drawn independently from normally distributed populations. (You may find it useful to reference the appropriate table: z table or t table) H0: μ1 − μ2 ≥ 0 HA: μ1 − μ2 < 0 x−1 x − 1 = 222 x−2 x − 2 = 253 s1 = 32 s2 = 26 n1 = 12 n2 = 12 a-1. Calculate the value of the test statistic under the assumption that the population...
a. Given the following information obtained from three normally distributed populations, construct an ANOVA table. (Round intermediate calculations to at least 4 decimal places. Round "SS" to 2 decimal places, "MS" to 4 decimal places, and "P' to 3 decimal places.) SSTR = 220.7; SSE = 2,252.2; c = 3; ni = n2 = n3 = 8 ANOVA Source of Variation SS df MS F p-value Between Groups 0.375 Within Groups 0.00 0 Total b. At the 1% significance level,...
Consider the following data drawn independently from normally distributed populations: (You may find it useful to reference the appropriate table: z table or t table) x−1x−1 = 27.7 x−2x−2 = 30.1 σ12 = 92.8 σ22 = 87.5 n1 = 24 n2 = 33 a. Construct the 99% confidence interval for the difference between the population means. (Negative values should be indicated by a minus sign. Round all intermediate calculations to at least 4 decimal places and final answers to 2...
The following data were obtained for a randomized block design involving five treatments and three blocks: SST = 490, SSTR = 310, SSBL = 95. Set up the ANOVA table. (Round your value for F to two decimal places, and your p-value to three decimal places.) Source of Variation Sum of Squares Degrees of Freedom Mean Square F p-value Treatments Blocks Error Total Test for any significant differences. Use α = 0.05. State the null and alternative hypotheses. H0: At...
A random sample of five observations from three normally distributed populations produced the following data: (You may find it useful to reference the F table.) Treatments A C 20 1 9 25 25 22 27 21 24 24 26 2.1 22 23 19 XR - 23 SR6.5 S 4.5 S 4.5 Click here for the Excel Data File f. At the 5% significance level, what is the conclusion to the test? Reject Ho since the p-value is less than significance...