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I need a step by step explanation of how to do part b!

A consulting company wants to determine how much beef Americans eat every year. The amounts (in pounds) eaten by those in a preliminary sample of 6 people are shown below:
36 75 0 25 42 14
(a) Find the mean X and standard deviation s of the amounts of beef eaten by the people in the preliminary sample.
For part a I got X=32 and s=23.7

b)What size sample should they expect to need to use if they want to estimate the average amount of beef eaten by all adult Americans to within ±6 pounds at a 90% confidence level?

User BPS
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Final answer:

To estimate the average amount of beef eaten by Americans to within ±6 pounds at a 90% confidence level, a consulting firm would need at least 43 people in their sample, based on a preliminary sample standard deviation of 23.7 pounds.

Step-by-step explanation:

To determine the sample size needed to estimate the average amount of beef eaten by all adult Americans to within ±6 pounds at a 90% confidence level, we use the formula to calculate sample size for estimating a mean:

n = (z* ÷ E)^2 ÷ (s^2)

Where:

  • n = sample size
  • z* = z-value corresponding to the desired confidence level
  • E = margin of error
  • s = sample standard deviation

For a 90% confidence level, the z-value is typically about 1.645. The margin of error (E) is ±6 pounds, and the sample standard deviation (s), as given in part (a) of the question, is 23.7 pounds. Plugging in these values:

n = (1.645 ÷ 6)^2 ÷ (23.7^2)

n = (0.2741667)^2 ÷ (561.69)

n = 0.075169 ÷ 561.69

n ≈ 42.364

Since we cannot have a fraction of a person, we would round up to the next whole number. Therefore, the consulting company should expect to need a sample size of at least 43 people to estimate the average amount of beef eaten by all adult Americans to the desired margin of error at a 90% confidence level.

User Andrei Papancea
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