The test statistic used in the F test for the equality of two variances is calculated as F = s12/s22. In this formula, s12and s22 represent the sample variance for sample 1 and sample 2, respectively. True or False?
Ans:
where and represent the sample variance for sample 1 and sample 2, respectively
The above statement is True.
The test statistic used in the F test for the equality of two variances is calculated...
In a two-tailed F-test about equality of two population variances, given n1=21, S21 = 8.2, n2=26, S22= 4.0, and alpha = 0.05. The numerator and denominator degrees of freedom for the F distribution, respectively, are A. 21 and 26 B. 26 and 21 C. 20 and 25 D. 27 and 22
The test statistic for Ho: σ12=σ22 is Fo = S21/S22 where the S2iare the sample variances of two random samples from independent normal populations. true or false
Finding F critical for Variances Use the F-distribution to find the degrees of freedon for the numerator (d.f.N.), the degrees of freedom for the Denominator (d.f.D.) and the critical F-value Use the closest value when looking up the d.f.N. and d.f.D. in the tables. Test alpha α Sample 1 Sample 2 d.f.N. d.f.D. F critical Right 0.01 s12=37 n1=14 s22=89 n2=25 Two-tailed 0.10 s12=164 n1=21 s22=53 n2=17 Right 0.05 s12=92.8 n1=11 s22=43.6 n2=11
Using the data from the previous question on LDL cholesterol, you decide to test if the variance in LDL cholesterol of patients admitted to the hospital with a heart attack is the same as that of those who have not (the control). You use the R function var.test and obtain the following output. F test to compare two variances data: ldl.ha and ldl.cont F = 7.683, num df = 9, denom df = 15, p-value = 0.0006501 alternative...
In testing the equality if the two means below, what is the test statistic? (Assume the populations have equal variances) Hi! I entered this into the calculator and got an answer that didn't match any of my options. I got 0.1285. Can someone please show me how to enter it into the calculator? QUESTION 5 In testing the equality of the two means below, what is the test statistic? (Assume the populations have equal variances) Sample 1 Sample 2 Sample...
(Harder question): Show that the two sample t-test statistic squared is equal to the single-factor ANOVA F statistic when there are two levels. For simplicity, assume equal sample size of n in each of the two groups RECALL: Two sided, two independent sample pooled t-test tests the following hypotheses: The test statistic is: VEA where yi and ỹ2 are the sample means in group 1 and 2, respectively. The pooled variance is given by where s and s3 are the...
3. (Harder question): Show that the two sample t-test statistic squared is equal to the single-factor ANOVA F statistic when there are two levels. For simplicity, assume equal sample size of n in each of the two groups RECALL : Two sided, two independent sample pooled t-test tests the following hypotheses: The test statistic is: - y2 where and 2 are the sample means in group 1 and 2, respectively. The pooled variance is given by (w, where s and...
3. (Harder question): Show that the two sample t-test statistic squared is equal to the single-factor ANOVA F statistic when there are two levels. For simplicity, assume equal sample size of n in each of the two groups RECALL: Two sided, two independent sample pooled t-test tests the following hypotheses: The test statistic is: 1-y2 where i and 2 are the sample means in group 1 and 2, respectively. The pooled variance is given by where s and s3 are...
3. (Harder question): Show that the two sample t-test statistic squared is equal to the single-factor ANOVA F statistic when there are two levels. For simplicity, assume equal sample size of n in each of the two groups. RECALL: Two sided, two independent sample pooled t-test tests the following hypotheses: The test statistic is: y2 where yi and 2 are the sample means in group 1 and 2, respectively. The pooled variance is given by 2 where s and s...
A cereal company is interested in determining if there is a difference in the variation of the weights for 24-ounce and 48-ounce boxes of cereal. A random sample of 18 (eighteen) 24-ounce boxes of cereal produced a sample variance (S12) of 0.005 oz2. A sample of thirty-one (31) 48-ounce boxes of cereal produced a sample variance (S22) of 0.004 oz2. Use the sample information to construct a 90% confidence interval estimate for the true population ratio of. The point estimate for the ratio...