In: Statistics and Probability
The price of a head of iceberg lettuce varies greatly with the
season and the geographic location of a store. During February, a
researcher contacts a random sample of 39 grocery stores across
Canada and asks the produce manager of each to state the current
price charged for a head of iceberg lettuce. Using the researcher’s
results that follow, construct a 99% confidence interval to
estimate the mean price of a head of iceberg lettuce in February in
Canada.
$ | 1.59 | $ | 1.25 | $ | 1.65 | $ | 1.40 | $ | 0.89 |
1.19 | 1.50 | 1.49 | 1.30 | 1.39 | |||||
1.29 | 1.60 | 0.99 | 1.29 | 1.19 | |||||
1.20 | 1.50 | 1.49 | 1.29 | 1.35 | |||||
1.4 | 0.89 | 1.1 | 1.49 | 1.09 | |||||
1.50 | 1.50 | 1.55 | 1.20 | 1.15 | |||||
0.99 | 1.00 | 1.30 | 1.25 | 1.10 | |||||
1.00 | 1.55 | 1.29 | 1.39 |
The sample mean is and the sample standard deviation is s=0.2072902. The size of the sample is n = 39 and the required confidence level is 99%.
The number of degrees of freedom are df = 39 - 1 = 38, and the significance level is α=0.01.
The critical t-value for α=0.01 and df=38 degrees of freedom is tc=2.712.
The 99% confidence for the population mean μ is computed using the following expression
Therefore, the 99 % confidence for the population mean μ is