1. Construct a 95% confidence interval estimate of the difference μ₁ - μ2, where μ₁ is the mean of this year's sales and M2 is the mean of last year's sales. (a) < (μ₁ −μ₂) < (b) The margin of error is ⠀
1. Construct a 95% confidence interval estimate of the difference μ₁ - μ2, where μ₁ is the mean of this year's sales and M2 is the mean of last year's sales. (a) < (μ₁ −μ₂) < (b) The margin of error is ⠀
Chapter6: Exponential And Logarithmic Functions
Section6.8: Fitting Exponential Models To Data
Problem 3TI: Table 6 shows the population, in thousands, of harbor seals in the Wadden Sea over the years 1997 to...
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A market research firm supplies manufacturers with estimates of the retail sales of their products from samples of retail stores. Marketing managers are prone to look at the estimate and ignore sampling error. An SRS of 24 stores this year shows mean sales of 83 units of a small appliance, with a standard deviation of 6.6 units. During the same point in time last year, an SRS of 31 stores had mean sales of 76.334 units, with standard deviation 12.5 units. An increase from 76.334 to 83 is a rise of about 8%.
Transcribed Image Text:1. Construct a 95% confidence interval estimate of the difference μ₁ −μ₂, where μ₁ is the mean of this year's sales and
M₂ is the mean of last year's sales.
(a)
< (μ₁ − µ₂) <
(b) The margin of error is
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