Suppose we want 90% confidence interval for the average amount spent on books by freshmen in their first year at a major university. The interval is to have a margin of error of $2. Based on last year's book sales, we estimate that the standard deviation of the amount spent will be close to $30. the number of observations required is closest to a) 865 b) 609 c) 608 d) 30​

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Answer:

The number of observations required is closest to 609 b

Step-by-step explanation:

The formula of the sample size is n = [([tex]z_{\frac{\alpha}{2} }[/tex] . σ)/E]² , where

  • σ is the standard deviation
  • E is the margin of error
  • [tex]z_{\frac{\alpha}{2} }[/tex] is the z-score, where 1 - α = confidence interval

∵ We want 90% confidence interval for the average amount

   spent on books by freshmen in their first year at a major

   university

∴ 1 - α = 90%

∵ 90% = 90 ÷ 100 = 0.90

∴ 1 - α = 0.90

- Subtract 1 from both sides

∴ - α = -0.10

- Divide both sides by -1

∴ α = 0.10

- Find the value of [tex]\frac{\alpha }{2}[/tex]

∴  [tex]\frac{\alpha }{2}[/tex] = [tex]\frac{0.10}{2}[/tex] = 0.05

- Look to the normal distribution table to find z-score for this

   value with opposite sign

∴ [tex]z_{\frac{\alpha}{2} }[/tex]  = 1.645

∵ The interval is to have a margin of error of $2

∴ E = 2

∵ We estimate that the standard deviation of the amount spent

   will be close to $30

∴ σ = 30

- Substitute these values in the formula above

∴ n = [(1.645)(30) ÷ 2]²

∴ n = 608.855

- Round it to the whole number

∴ n = 609

The number of observations required is closest to 609

The number of observations required based on the confidence interval is B. 609.

How to calculate the observation?

From the information given, the standard deviation is $30,the critical value is 1.645 for 90% confidence level.

Therefore, the sample size will be:

= [(30/2) × 1.645]²

= 609

In conclusion, the sample size is 609.

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