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denis-greek [22]
4 years ago
10

Why is it rare for frames to be completely​ accurate? Choose the correct answer below. A. It is rare for frames to be accurate b

ecause frames are obtained in a way that causes the sample to favor one part of the population over another. B. It is rare for frames to be accurate because individuals that were selected to be in the sample do not always respond to the​ survey, which can create nonresponse bias. C. It is rare for frames to be accurate because frames are obtained​ periodically, whereas populations are constantly changing. D. It is rare for frames to be accurate because large sample sizes used in frames almost always result in​ data-entry errors.
Mathematics
1 answer:
inysia [295]4 years ago
7 0

Answer: C

Step-by-step explanation:

Frames are list of individuals present in a population or group. The major reasons frames are hardly accurate is because of the dynamism in population. Individuals get added and removed periodically so this causes some form of variations in statistically analysing such samples.

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Assume that females have pulse rates that are normally distributed with a mean of u = 75.0 beats per minute and a standard devia
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Answer:

36.88% probability that her pulse rate is between 69 beats per minute and 81 beats per minute.

Step-by-step explanation:

Problems of normally distributed samples are 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:

\mu = 75, \sigma = 12.5

Find the probability that her pulse rate is between 69 beats per minute and 81 beats per minute.

This is the pvalue of Z when X = 81 subtracted by the pvalue of Z when X = 69.

X = 81

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

Z = \frac{81 - 75}{12.5}

Z = 0.48

Z = 0.48 has a pvalue of 0.6844

X = 69

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

Z = \frac{69 - 75}{12.5}

Z = -0.48

Z = -0.48 has a pvalue of 0.3156

0.6844 - 0.3156 = 0.3688

36.88% probability that her pulse rate is between 69 beats per minute and 81 beats per minute.

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