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Suppose you ao a study of acupuncture to determine how effective it is in relieving pain. You measure sensory rates for 15 subjects(; 9.4; 7.9; 6.8; 8.3; 7.3; 9.2; 9.6; 8.7; 11.4; 10.3; 5.4; 8.1; 5.5; 6.9) with the results given. Use the sample data to construct a 95 percent confidence interval for the mean sensory rate for the population (assumed normal) from which you took the data____

User Aaronius
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Final answer:

To construct the confidence interval, calculate the sample mean and standard deviation, then use the t-distribution to find the t*-value and apply the confidence interval formula. For the given data, the 95% confidence interval for the mean sensory rate is (7.30, 9.15).

Step-by-step explanation:

Constructing a 95% Confidence Interval

To construct a 95 percent confidence interval for the mean sensory rate, you first need to calculate the mean (μ) and standard deviation (s) of the sample data. After that, use the t-distribution since the sample size is less than 30 and we do not know the population standard deviation. You will need the degrees of freedom (df), which is n - 1. With df = 14 for a 95% confidence interval, find the t*-value, which you can look up in a t-table or use a calculator to find.

Now the formula for the confidence interval is:

mean ± (t* × (s / √ n))

Plug in the values for the mean, t*, s (sample standard deviation), and n (sample size) to calculate the interval. For this dataset, the 95% confidence interval for the mean sensory rate is (7.30, 9.15).

This means we estimate with 95 percent confidence that the true population mean sensory rate is between 7.30 and 9.15.

User Sissythem
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