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BabaBlast [244]
4 years ago
9

A Food Marketing Institute found that 39% of households spend more than $125 a week on groceries. Assume the population proporti

on is 0.39 and a simple random sample of 87 households is selected from the population. What is the probability that the sample proportion of households spending more than $125 a week is between 0.29 and 0.41?
Mathematics
1 answer:
Anuta_ua [19.1K]4 years ago
7 0

Answer:

0.6210

Step-by-step explanation:

Given that a Food Marketing Institute found that 39% of households spend more than $125 a week on groceries

Sample size n =87

Sample proportion will follow a normal distribution with p =0.39

and standard error = \sqrt{\frac{0.39(1-0.39)}{87} } \\=0.0523

the probability that the sample proportion of households spending more than $125 a week is between 0.29 and 0.41

=P(0.29

There is 0.6210 probability that the sample proportion of households spending more than $125 a week is between 0.29 and 0.41

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Step-by-step explanation:

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A cyclist set out from a town P on a bearing of to a town Q, 5 km away. He then moves on a bearing of to a town R, 6km from Q.
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The bearing of R from P is 019 and the distance |PR| is 8.75

<h3>The complete question</h3>

A cyclist set out from a town P on a bearing of 060 to a town Q, 5 km away. He then moves on a bearing of 345 to a town R, 6km from Q.

<h3>The diagram that represents the information</h3>

See attachment

<h3>The bearing of R from P</h3>

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<h3>The distance |PR|​</h3>

In (b), we have:

PR = 8.75

Hence, the distance |PR| is 8.75

Read more about bearing and distance at:

brainly.com/question/15221233

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