Hi please can I get some help with these questions

QUESTION 20 Consider to the information given on question 17, the p-value is 1. 0.7257 2. 0.5279 3. 0.0000 4. 0.4721 5. 6.58 9 QUESTION 21 Suppose the analysis of variance (ANOVA) table is given as shown below Source of Degrees of Sum of Mean squares MS F variation freedom df squares SS SST 5 SSE 54 16.2 Total 21.4 The critical value at 5% level of significance is 1. 2.40 2. 6.23 3. 2.28 4. 4.43 5. 2.89 QUESTION 22 One - way ANOVA is performed on independent samples taken from three normally distributed populations with equal variances. The following summary statistics were calculated: 71 =7 X1 = 65 $1 = 4.2 12 = 8 X2 = 64 $2 = 4.9 73 = 9 X3 = 61 $3 = 4.6 The mean square for error is 1. 110 2. 443.19 3. 125.23 4. 21.10 5. 21.1043QUESTION 23 The following statistics were calculated based on samples drawn from three normal populations: Treatment Statistic 1 2 3 The size n 10 10 10 The sample mean 95 86 92 The sample standard deviation s2 10 12 15 The manager make use the analysis of variance (ANOVA) table to determine whether there is a difference between the population means at the 5% level of significance. Which of the following statements is incorrect? 1. The grand mean of all the observation x = 91. 2. The sum of squares for treatment SST = 420. 3. The sum of squares for Error SSE = 4641. 4. The F statistic test = 1.343. 5. The F-critical value (one-tailed) = 3.34. QUESTION 24 If we apply Fisher's LSD procedure with a = 0.05 to determine which population means differ, given the following summary statistics: k =3 m1 =10, #2 = 10, 13 = 10, MSE = 700, *1 = 128.7, 2 = 101.4, $3 = 133.7, the value of Fisher's Least Significant Difference (LSD) equals to 1. 700 2. 500 3. 140 4. 121.3985 5. 24.2797 11 QUESTION 25 In one way ANOVA, suppose that there are five treatments with m = n2 = nj = 5 and n4 = 15 = 7. Then the mean square for error MSE equals SSE 1. 4 2. SSE 29 3. SSE 24 SSE 4. 5 SSE 5. 12