a) popuilation variance =39.1429
standard deviation =6.2564
b)
Critical value of chi square distribution for n-1=7 df and 95 % CI | |||
Lower critical value χ2L= | 1.690 | ||
Upper critical valueχ2U= | 16.013 |
from above 95% confidence interval for population variance =(17.11<σ2<162.14) |
95% confidence interval for population standard deviation =(4.14<σ<12.73) |
The following values are drawn from a normal population. (You may find it useful to reference...
ind tα,df from the following information. [You may find it useful to reference the t table.] tα,df a. α = 0.005 and df = 18 b. α = 0.20 and df = 18 c. α = 0.005 and df = 22 d. α = 0.20 and df = 22 We use the t distribution to construct a confidence interval for the population mean when the underlying population standard deviation is not known. Under the assumption that the population is normally...
A random sample of 49 observations is used to estimate the population variance. The sample mean and sample standard deviation are calculated as 59 and 3.1, respectively. Assume that the population is normally distributed. (You may find it useful to reference the appropriate table: chi-square table or F table) a. Construct the 90% interval estimate for the population variance. (Round intermediate calculations to at least 4 decimal places and final answers to 2 decimal places.) Confidence interval b. Construct the...
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) *1 = -28.3 s12 = 8.7 ni = 22 X2 = -18.5 s 2 = 7.9 n2 = 16 a. Construct the 95% confidence interval for the difference between the population means. Assume the population variances are unknown but equal. (Round all intermediate calculations to at least 4 decimal places and final answers to 2...
Let the following sample of 8 observations be drawn from a normal population with unknown mean and standard deviation: 24, 22, 14, 26, 28, 16, 20, 21. [You may find it useful to reference the t table.) a. Calculate the sample mean and the sample standard deviation (Round intermediate calculations to at least 4 decimal places. Round "Sample mean" to 3 decimal places and "Sample standard deviation" to 2 decimal places.) Answer is complete but not entirely correct. Sample mean...
Consider the following measures based on independently drawn samples from normally distributed populations: (You may find it useful to reference the appropriate table: chi-square table or F table) Sample 1: s21s12 = 221, and n1 = 16 Sample 2: s22s22 = 208, and n2 = 11 a. Construct the 95% interval estimate for the ratio of the population variances. (Round "F" value and final answers to 2 decimal places.) Confidence interval _______ to _______ B. Using the confidence interval from...
Let the following sample of 8 observations be drawn from a normal population with unknown mean and standard deviation: 21, 20, 25, 18, 28, 19, 13, 22. [You may find it useful to reference the t table.] a. Calculate the sample mean and the sample standard deviation. (Round intermediate calculations to at least 4 decimal places. Round "Sample mean" to 3 decimal places and "Sample standard deviation" to 2 decimal places.) b. Construct the 90% confidence interval for the population...
A random sample of 43 observations is used to estimate the population variance. The sample mean and sample standard deviation are calculated as 68.5 and 3.1, respectively. Assume that the population is normally distributed. (You may find it useful to reference the appropriate table: chi-square table or F table) a. Construct the 95% interval estimate for the population variance. (Round intermediate calculations to at least 4 decimal places and final answers to 2 decimal places.) Confidence interval to b. Construct...
Consider the following measures based on independently drawn samples from normally distributed populations Ợou may find it useful to reference the appropriate table: chi-square table or F table) Sample 1: s 221, and n1 - 16 Sample 2:s 208, and n2 11 a. Construct the 95% interval estimate for the ratio of the population variances. (Round "F' value and final answers to 2 decimal places.) Confidence interval to b. Using the confidence interval from Part (a), test if the ratio...
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 31.6x2 26.8 σ12-91.9 σ22-90.0 120 2-26 a. Construct the 99% confidence interval for the difference between the population means Negative values should be indicated b, a minus sign. Round all intermediate calculations to at least 4 decimal places and final answers to 2 decimal places.) Confidence interval is to
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 = 32.7 x−2x−2 = 25.4 σ12 = 95.5 σ22 = 91.0 n1 = 16 n2 = 21 a. Construct the 90% 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...