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Aneli [31]
3 years ago
7

A recent poll of 1500 new home buyers found that 60% hired a moving company to help them move to their new home. Find the margin

of error for this poll if we want 95% confidence in our estimate of the percentage of new home buyers who hired movers.
Mathematics
1 answer:
Mrac [35]3 years ago
8 0

Answer:

The margin of error M.O.E = 2.5%

Step-by-step explanation:

Given that;

The sample size = 1500

The sample proportion \hat p = 0.60

Confidencce interval = 0.95

The level of significance ∝ = 1 - C.I

= 1 - 0.95

= 0.05

The critical value:

Z_{\alpha/2} = Z_{0.05/2} \\ \\  Z_{0.025} = 1.96 (From the z tables)

The margin of error is calculated by using the formula:

M.O.E = Z_{\alpha/2} \times \sqrt{\dfrac{\hat p(1 -\hat p)}{n}}

M.O.E = 1.96 \times \sqrt{\dfrac{\hat 0.60(1 -0.60)}{1500}}

M.O.E = 1.96 \times \sqrt{\dfrac{0.24}{1500}}

M.O.E = 1.96 \times \sqrt{1.6 \times 10^{-4}}

M.O.E = 0.02479

M.O.E ≅ 0.025

The margin of error M.O.E = 2.5%

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Kindly check explanation

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Given the following :

Normal distribution :

Mean (m) = 1049

Standard deviation (sd) = 189

Number of samples (n) = 16

A) What is the probability that one randomly selected student scores above 1100 on the GRE?

Obtain the z score

Zscore = (x - m) / sd

Zscore = (1100 - 1049) / 189

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B) The sample mean = population mean

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C.) P(X < 1100)

Zscore = (x - m) / SE

Zscore = (1100 - 1049) / 47.25

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Using the z-table :

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Using the z-table :

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E) if n = 64

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Zscore = (1100 - 1049) / 23.625

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Using the z-table :

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The probability decreases as the same distribution hinges towards a Boal distribution with increasing sample size.

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