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EXERCISES Some of the following exercises require the use of a computer and 8.10 sof Use the t table (Table 4) to find the following values a. t 10, 15 Use the t table (Table 4) to find the following values8.10 8,93 b. 10,23 c. t025, 83 d. t o5,195 8.94 of t. to1, 20 10,600 C. t0d. t 05,4 005, 33 8.10 Use a computer to find the following values of t. 05, 195 8.95 10,15 b. t a. t0s, 143 . 101, 12 a. P(t64 2.12) 025,83 d. t 8.96 Use a computer to find the following values of t. 8.97 Use a computer to find the following probabilities. 8.98 Use a computer to find the following probabilities. 025,c d.os, 100 8.10 c. P(t159> 1.33) foPt159 1.8 d. P(t550 > 1.85) b. P27> 1.90) 8.10 a. Pt141> .94) c. Pt1000> 1.96) b. P(421>2.00) d. Pt82 > 1.96) 8.99 Use the x table (Table 5) to find the following val- 8.108 ues of X,2 X01, 100 c. X95, 18 95, 18 d. X.99 8.100 Use the 8.109 ues of x2 a.hr, 26 Use a computer to find the following values of table (Table 5) to find the following val- c.x210, 1 b.X21, 30 χ09, 80 .01,30 C. d. 8.101 8.110 χ2 .10, 17 a.x35, 66. b. X40, 100 с. 0, 17 i da 17 8.102 Use a computer to find the following values of ?. 50, 17 d. а.X29, 55 b.Kns, 800 d.Ku,233 с.Х.99, 43 10, 233Factors That Identify the Chi-Squared Test and Estimator of o 1. Problem objective: Describe a population 2. Data type: Interval 3. Type of descriptive measurement: Variability EXERCISES Developing an Understanding of Statistical Concepts to determine whether we can infer that the pop- ulation variance differs from 300. The fullowing three exercises are wbat-if amalyses designed to determine what happens to the test statistics and interval esti- mates wben elements of the statistical inference change. These b. Repeat Part a changing the sample size to 50. c. What is the effect of decreasing the sample size? problems can be solved manually or using the Excel spreadsbeets. 12.71 a. The sample variance of a random sample of 12.70 a. A random sample of 100 observations was drawn population. The sample variance was calculated to be s2-220. Test with a.05 50 observations from a normal population was found to be s-80. Can we infer at the 1% sig- nificance level that o2 is less than 100? from a normal

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