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Chapter 7 Estimation. Chapter 7 ESTIMATION. What if it is impossible or impractical to use a large sample?. Apply the Student ’ s t distribution. The shape of the t distribution depends only the sample size, n, if the basic variable x has a normal distribution.
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What if it is impossible or impractical to use a large sample? Apply the Student’s t distribution.
The shape of the t distribution depends only the sample size, n, if the basic variable x has a normal distribution. When using the t distribution,we will assume that the x distribution is normal.
Table 6 in Appendix II gives values of the variable t corresponding to the number of degrees of freedom (d.f.)
Degrees of Freedom d.f. = n – 1 where n = sample size
The t Distribution has a Shape Similar to that of the the Normal Distribution A “t” distribution A Normal distribution
Find the critical value tc for a 95% confidence interval if n = 7.
Confidence Interval for the Mean of Small Samples (n < 30) from Normal Populations c = confidence level (0 < c < 1) tc = critical value for confidence level c, and degrees of freedom = n - 1
The mean weight of eight fish caught in a local lake is 15.7 ounces with a standard deviation of 2.3 ounces. Construct a 90% confidence interval for the mean weight of the population of fishin the lake.
Key Information • Mean = 15.7 ounces • Standard deviation = 2.3 ounces • n = 8, so d.f. = n – 1 = 7 • For c = 0.90, Table t chart • gives t0.90 = 1.8946
The 90% confidence interval is: We can say with 90% confidence that the population mean weight of the fish in the lake is between 14.1594 and 17.2406 ounces.
The 90% confidence interval is: Calculator Computation VARS Statistics TEST H: lower 14.1594 I: upper 17.2406 We can say with 90% confidence that the population mean weight of the fish in the lake is between 14.1594 and 17.2406 ounces.
THE END OF SECTION 2