O Find the probability that between 25% and 50% of the sample 100 CrossFitters has post- graduate degrees.
Contingency Table
A contingency table can be defined as the visual representation of the relationship between two or more categorical variables that can be evaluated and registered. It is a categorical version of the scatterplot, which is used to investigate the linear relationship between two variables. A contingency table is indeed a type of frequency distribution table that displays two variables at the same time.
Binomial Distribution
Binomial is an algebraic expression of the sum or the difference of two terms. Before knowing about binomial distribution, we must know about the binomial theorem.
76. D
![**Educational Text Transcription and Explanation**
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**Questions on Statistical Sampling and Proportions**
**75. According to Quantcast analytics of CrossFit.com, 59% of CrossFitters have children.** Suppose we take a random sample of 40 CrossFitters and find the sample proportion (\(\hat{p}\)) that have children. We repeat this process many times.
- **(a) What do you expect the mean of the \(\hat{p}\)’s to be?**
The expected mean of the sample proportions \(\hat{p}\) is equal to the population proportion. Hence, the expected mean is 0.59 or 59%.
- **(b) What do you expect the standard deviation of the \(\hat{p}\)'s to be?**
The standard deviation of the sample proportion \(\hat{p}\) can be calculated using the formula:
\[
\sigma_{\hat{p}} = \sqrt{\frac{p(1 - p)}{n}}
\]
where \( p = 0.59 \) and \( n = 40 \). Plugging in these values, we calculate \(\sigma_{\hat{p}}\).
- **(c) What do you expect the shape of the \(\hat{p}\)'s to be?**
The shape of the distribution of \(\hat{p}\) is expected to be approximately normal, especially since the sample size (40) is relatively large.
**76. According to Quantcast analytics of CrossFit.com, 40% of CrossFitters have post-graduate degrees.** Suppose we take a random sample of 60 CrossFitters.
- **(a) Describe the sampling distribution of the sample proportion of CrossFitters who have post-graduate degrees for samples of size 60.**
The sampling distribution of the sample proportion \(\hat{p}\) will be approximately normal because the sample size is large. The mean of this distribution will be 0.40 or 40%. The standard deviation can be calculated using the formula:
\[
\sigma_{\hat{p}} = \sqrt{\frac{p(1 - p)}{n}}
\]
where \( p = 0.40 \) and \( n = 60 \). The distribution's standard deviation can be calculated by plugging these values into the formula.
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Note: This explanation is meant to provide insight into understanding basic statistical sampling concepts](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2F8d86676b-0eb6-42ee-b104-da46ee0f3304%2F18bcbe76-19e7-49c4-a7ec-17f085721f3d%2Fvd8p6sm.jpeg&w=3840&q=75)


Given information-
Population proportion, p = 0.40
Sample size, n = 60
d)
We have to find the probability that between 25% and 50% of the sample 100 CrossFitters has post-graduate degrees-
P (0.25 < p < 0.50) is-
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