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A researcher is conducting a study to estimate the average monthly household expenditure on groceries in a city. The researcher wants to ensure a 97% confidence level. The population size of households in the city is estimated to be 5000. Using Slovin's formula, calculate the required sample size for this study.10 pointsYour answer

Question

A researcher is conducting a study to estimate the average monthly household expenditure on groceries in a city. The researcher wants to ensure a 97% confidence level. The population size of households in the city is estimated to be 5000. Using Slovin's formula, calculate the required sample size for this study.10 pointsYour answer

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Solution

To calculate the required sample size using Slovin's formula, we first need to understand the formula itself. Slovin's formula is given by:

N / (1 + Ne^2)

where: N = population size e = margin of error

The margin of error (e) can be calculated from the confidence level. A 97% confidence level corresponds to a 3% margin of error (100% - 97% = 3%). However, this needs to be expressed as a decimal in the formula, so we divide by 100 to get 0.03.

Now we can substitute the given values into the formula:

N = 5000 (the population size) e = 0.03 (the margin of error)

So the formula becomes:

5000 / (1 + 5000*(0.03)^2)

Now, calculate the expression in the parentheses:

1 + 5000*(0.03)^2 = 1 + 5000*0.0009 = 1 + 4.5 = 5.5

Then divide the population size by this result:

5000 / 5.5 = approximately 909.09

Since we can't have a fraction of a household, we round this up to the nearest whole number. So the required sample size for this study is 910 households.

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