Suppose two independent random samples of sizes n1 = 9 and n2 = 7 that have been taken from two normally distributed populations having variances σ21σ12 and σ22σ22 give sample variances of s12 = 100 and s22 = 20.
(a) Test H0: σ21σ12 = σ22σ22 versus Ha: σ21σ12 ≠≠ σ22σ22 with αα = .05. What do you conclude? (Round your answers to F to the nearest whole number and F.025 to 2 decimal places.)
F = F.025 = |
(Click to select)RejectDo not reject H0: σ21σ12 = σ22σ22 |
(b) Test H0: σ21σ12 < σ22σ22 versus Ha: σ21σ12 > σ22σ22 with αα = .05. What do you conclude? (Round your answers to F to the nearest whole number and F.025 to 2 decimal places.)
F = F.05 = |
(Click to select)RejectDo not reject H0: σ21σ12 < σ22σ22 |
Suppose two independent random samples of sizes n1 = 9 and n2 = 7 that have...
suppose two independen random samples o sizes nı = 9 and n2-7 that have been aken wo norma y dis n populations having variances σ .2 oo and S s22 -20 om e and give sam ie vanances (a Test Ho: σ-of versus Ha σ メ얼 with α 5 What do you conclude? Round your answers to F to the nearest whole number and F 025 to 2 decimal places. F.025 (Click to select): Hoof-σ (b) Test Ho: σ? 吃versus...
Suppose we have taken independent, random samples of sizes n1 = 7 and n2 = 7 from two normally distributed populations having means μ1 and μ2, and suppose we obtain x1=240, x2=210, s1=5, and s2 = 6 Use critical values and p-values to test the null hypothesis H0: μ1 − μ2 ≤ 20 versus the alternative hypothesis Ha: μ1 − μ2 > 20 by setting α equal to .10. How much evidence is there that the difference between μ1 and...
Random samples of sizes n1 = 32 and n2 = 40 are to be drawn from two independent populations. μ1 = 12.3 μ2 = 9.8 σ1 = 2.9 σ2 = 2.4 P(Xbar1 - Xbar 2 < 2) P(S12/ S22 > 2)
1) Consider two independent random samples of sizes n1 = 14 and n2 = 14, taken from two normally distributed populations. The sample standard deviations are calculated to be s1= 1.98 and s2 = 5.71, and the sample means are x¯1=-10.2and x¯2=-2.34, respectively. Using this information, test the null hypothesis H0:μ1=μ2against the one-sided alternative HA:μ1<μ2, using Welch's 2-sample t Procedure for independent samples. a) Calculate the value for the t test statistic. Round your response to at least 2 decimal...
Use the Excel output in the below table to do (1) through (6) for each ofβ0, β1, β2, and β3. y = β0 + β1x1 + β2x2 + β3x3 + ε df = n – (k + 1) = 16 – (3 + 1) = 12 Excel output for the hospital labor needs case (sample size: n = 16) Coefficients Standard Error t Stat p-value Lower 95% Upper 95% Intercept 1946.8020 504.1819 3.8613 0.0023 848.2840 3045.3201 XRay (x1) 0.0386...
Independent random samples were selected from two quantitative populations, with sample sizes, means, and variances given below. Sample Size Sample Mean Sample Variance Population 1 2 34 45 9.8 7.5 10.83 16.49 State the null and alternative hypotheses used to test for a difference in the two population means. O Ho: (41 - H2) = 0 versus Ha: (41 - M2) > 0 Ho: (41 – 12) # O versus Ha: (H1 - H2) = 0 HO: (41 – My)...
Independent random samples of size n1=38 and n2=86 observations, were selected from two populations. The samples from populations 1 and 2 produced x1=18 and x2=13 successes, respectively. Define p1 and p2 to be the proportion of successes in populations 1 and 2, respectively. We would like to test the following hypotheses: H0:p1=p2 versus H1:p1≠p2 (a)To test H0 versus H1, which inference procedure should you use? A. Two-sample z procedure B. One-sample z procedure C. One-sample t procedure D. Two-sample t...
You may need to use the appropriate technology to answer this question. Consider the following hypothesis test. H0: σ12 = σ22 Ha: σ12 ≠ σ22 (a) What is your conclusion if n1 = 21, s12 = 2.2, n2 = 26, and s22 = 1.0? Use α = 0.05 and the p-value approach. Find the value of the test statistic. Find the p-value. (Round your answer to four decimal places.) p-value = State your conclusion. Reject H0. We cannot conclude that...
Suppose that independent samples of sizes n1, n2, . . . , nk are taken from each of k normally distributed populations with means μ1,μ2, . . . , μk and common variances, all equal to σ 2. Let Yi j denote the j th observation from population i, for j = 1, 2, . . . , ni and i = 1, 2, . . . , k, and let n = n1 + n2 + ··· + nk...
Independent random samples were selected from two binomial populations, with sample sizes and the number of successes given below. Population 1 2 500 500 119 148 Sample Size Number of Successes State the null and alternative hypotheses to test for a difference in the two population proportions. O Ho: (P1-P2) # O versus H: (P1-P2) = 0 O Ho: (P1-P2) = 0 versus Hy: (P1-P2) > 0 HO: (P1-P2) < 0 versus Ha: (P1-P2) > 0 HO: (P1-P2) = 0...