Find the critical value tc for the confidence level c=0.98 and sample size n=17. Round to nearest thousands
Find the critical value tc for the confidence level c=0.99 sample size n=9. Round to nearest thousandth.
. Here c is the confidence level. We have to find out the critical value of t statistic , tc.
i) The degrees of freedom (df) are 1 less than the sample size i.e., 17-1=16. The confidence level c = 0.98. The significance level is (1-c)= 0.02.
Now we search the t-table and match the relevant column and row with the given values.The critical value of t is found to be
tc = 2.583.
ii)For sample size 9, degree of freedom is 8. Here the confidence level c = 0.99. proceeding in the same manner as in (i) we use the t-table to find the critical value of t as
tc = 3.249
We compare tc with computed value to reject or accept the null hypothesis
Find the critical value tc for the confidence level c=0.98 and sample size n=17. Round to...
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Find the critical value t for the confidence level c = 0.99 and sample size n=9. - Click the icon to view the t-distribution table. (Round to the nearest thousandth as needed.)
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a.Construct the confidence interval for the population mea μ. c=0.98 x=16.3, σ=5.0, and n=95 A 98% confidence interval for μ is ( ___ , ___ ) (Round to one decimal place as needed. b. Find the critical value tc for the confidence level c=0.98 and sample size n=13. tc= _____ (Round to the nearest thousandth as needed.) c. Find the margin of error for the given values of c, s, and n.c=0.80, s=4, n=28 The margin of error is _____...
Find the minimum sample size n needed to estimate mu for the given values of c, sigma, and E. c= 0.98, sigma= 8.7, and E= 1 Find the margin of error for the given values of c, s, and n. c=0.98, s=2.4, n =25 Find the critical value Tc for the confidence level c=0.99 and sample size n=88.
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This Question: 1 pt 12 of 17 ( Find the critical value to for the confidence level c = 0.90 and sample size n= 11. Click the icon to view the t-distribution table. t=(Round to the nearest thousandth as needed.)