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3 years ago

62% of 150 is what number

Mathematics

2 answers:

Blababa [14]3 years ago

8 0

First put the percent into decimal form. This is .62.
Then multiply .62 by 150. This is 93. 93 is 62% of 150.

Salsk061 [2.6K]3 years ago

3 0

Put 62/100 = x/150. If you simplify you should be able to get your answer.

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zlopas [31]

divide them:

2430/10 = 243 bags

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3 years ago

if in the study of the lifetime of 60-watt light bulbs it was desired to have a margin of error no larger than 6 hours with 99%

Dahasolnce [82]

The question is incomplete! Complete question along with answer and step by step explanation is provided below.

Question:

The lifetime (in hours) of a 60-watt light bulb is a random variable that has a Normal distribution with σ = 30 hours. A random sample of 25 bulbs put on test produced a sample mean lifetime of = 1038 hours.

If in the study of the lifetime of 60-watt light bulbs it was desired to have a margin of error no larger than 6 hours with 99% confidence, how many randomly selected 60-watt light bulbs should be tested to achieve this result?

Given Information:

standard deviation = σ = 30 hours

confidence level = 99%

Margin of error = 6 hours

Required Information:

sample size = n = ?

Answer:

sample size = n ≈ 165

Step-by-step explanation:

We know that margin of error is given by

Margin of error = z*(σ/√n)

Where z is the corresponding confidence level score, σ is the standard deviation and n is the sample size

√n = z*σ/Margin of error

squaring both sides

n = (z*σ/Margin of error)²

For 99% confidence level the z-score is 2.576

n = (2.576*30/6)²

n = 164.73

since number of bulbs cannot be in fraction so rounding off yields

n ≈ 165

Therefore, a sample size of 165 bulbs is needed to ensure a margin of error not greater than 6 hours.

3 0

3 years ago

Based on past experience, a bank believes that 8.9 % of the people who receive loans will not make payments on time. The bank ha

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Answer:

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Step-by-step explanation:

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Probability of exactly x successes on n repeated trials, with p probability.

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This means that $p = 0.089$

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Answer:

Step-by-step explanation:

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