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soldier1979 [14.2K]
2 years ago
9

A consumer research organization states that the mean caffeine content per 12-ounce bottle of a population of caffeinated soft d

rinks is 37.8 milligrams. You find a random sample of 48 12-ounce bottles of caffeinated soft drinks that has a mean caffeine content of 41.5 milligrams. Assume the population standard deviation is 12.5 milligrams. At α=0.05, what type of test is this and can you reject the organization’s claim using the test statistic?
Mathematics
1 answer:
Afina-wow [57]2 years ago
8 0

Answer:

This test is z test and we reject the organization’s claim .

Step-by-step explanation:

Claim : The mean caffeine content per 12-ounce bottle of a population of caffeinated soft drinks is 37.8 milligrams.

H_0:\mu \neq 37.8\\H_a:\mu = 37.8

n = No. of samples = 48

The population standard deviation is 12.5 milligrams.

Since n > 30 and population standard deviation is given .

So, we will use z test

x = 41.5\\\sigma = 12.5 \\n = 48\\ \mu = 37.8

z=\frac{x-\mu}{\frac{\sigma}{\sqrt{n}}}

Substitute the values in the formula :

z=\frac{41.5-37.8}{\frac{12.5}{\sqrt{48}}}

z=2.050

Refer the z table for p value

p value = 0.9798

α=0.05

p value > α

So, we accept the null hypothesis.

So, we reject the organization’s claim .

Hence this test is z test and we reject the organization’s claim .

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Step-by-step explanation:

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Answer:

a) 0.0392

b) 0.4688

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Step-by-step explanation:

Problems of normally distributed samples can be solved using the z-score formula.

In a set with mean \mu and standard deviation \sigma, the zscore of a measure X is given by:

Z = \frac{X - \mu}{\sigma}

The Z-score measures how many standard deviations the measure is from the mean. After finding the Z-score, we look at the z-score table and find the p-value associated with this z-score. This p-value is the probability that the value of the measure is smaller than X, that is, the percentile of X. Subtracting 1 by the pvalue, we get the probability that the value of the measure is greater than X.

In this problem, we have that:

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This is the pvalue of Z when X = 20000. So

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Z = -1.76

Z = -1.76 has a pvalue of 0.0392.

So this probability is 0.0392.

b. What is the probability that a wedding costs between $20,000 and $30,000 (to 4 decimals)?

This is the pvalue of Z when X = 30000 subtracted by the pvalue of Z when X = 20000.

X = 30000

Z = \frac{X - \mu}{\sigma}

Z = \frac{30000 - 29858}{5600}

Z = 0.02

Z = 0.02 has a pvalue of 0.5080.

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Z = \frac{20000 - 29858}{5600}

Z = -1.76

Z = -1.76 has a pvalue of 0.0392.

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This is the value of X when Z has a pvalue of 0.95. So this is X when Z = 1.645.

Z = \frac{X - \mu}{\sigma}

1.645 = \frac{X - 29858}{5600}

X - 29858 = 5600*1.645

X = 39070

The wedding would have to cost at least $39,070 to be among the 5% most expensive.

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Step-by-step explanation:

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we have been asked to construct an angle MNT congruent to angle PQR. this means we are to construct angle that is the same as that at PQR.

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Probability = 4/14 = 2/7

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