The U.S. Department of Agriculture (USDA) uses sample surveys to estimate nationwide crop prices. Suppose that the USDA draws an SRS of corn producers in March and then a second, independent SRS of corn producers in September. In each survey, the USDA collects sales price per bushel of corn for each producer.
Summary statistics (prices per bushel)
Population | Sample size | Sample mean | Sample standard deviation |
#1: corn prices, March | 50 | $3.82 | $0.28 |
#2: corn prices, Sept. | 62 | $3.49 | $0.34 |
Calculate the upper endpoint of the 99% confidence interval for the difference in population mean corn prices, μ 1 − μ 2. Use the simple method to estimate the number of degrees of freedom.
Group of answer choices
$0.21
$0.18
$0.37
$0.28
$0.48
Given that,
For March : n1 = 50, x1-bar = 3.82 and s1 = 0.28
For September : n2 = 62, x2-bar = 3.49 and s2 = 0.34
Using TI-83 plus calculator we get, the 99% confidence interval for the difference in population mean corn prices is, (0.18, 0.48)
Where, lower endpoint = $0.18 and
Upper endpoint = $0.48
Answer : $0.48
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