According to a study, the proportion of people who are satisfied with the way things are going in their lives is 0.88. Suppose that a random sample of 100 people is obtained. Complete parts (a) through (e) below. Click here to view the standard normal distribution table (page 1). Click here to view the standard normal distribution table (page 2). (a) Suppose the random sample of 100 people is asked, "Are you satisfied with the way things are going in your life?" Is the response to this question qualitative or quantitative? Explain. O A. The response is qualitative because the responses can be classified based on the characteristic of being satisfied or not. O B. The response is quantitative because the number of people satisfied can be counted. O C. The response is qualitative because the number of people satisfied can be counted. O D. The response is quantitative because the responses can be classified based on the characteristic of being satisfied or not. (b) Explain why the sample proportion, p, is a random variable. What is the source of the variability? O A. The sample proportion p is a random variable because the value of p varies from sample to sample. The variability is due to the fact that people may not be responding to the question truthfully. O B. The sample proportion p is a random variable because the value of p represents a random person included in the sample. The variability is due to the fact that different people feel differently regarding their satisfaction. O C. The sample proportion p is a random variable because the value of p represents a random person included in the sample. The variability is due to the fact that people may not be responding to the question truthfully. O D. The sample proportion p is a random variable because the value of p varies from sample to sample. The variability is due to the fact that different people feel differently regarding their satisfaction. (c) Describe the sampling distribution of p, the proportion of people who are satisfied with the way things are going in their life. Be sure to verify the model requirements. Since the sample size is no more than 5% of the population size and np(1 - p) = 10.56 2 10, the distribution of p is approximately normal with ua = 0.880 and oa = 0.032 (Round to three decimal places as needed.) (d) In the sample obtained in part (a), what is the probability that the proportion who are satisfied with the way things are going in their life exceeds 0.91? The probability that proportion who are satisfied with the way things are going in their life exceeds 0.91 is. (Round to four decimal places as needed.)

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The image contains a standard normal distribution table, commonly used in statistics to find the probability that a statistic is observed below, above, or between values on the standard normal distribution (Z-distribution).

### Page 1

#### Diagram
The left half shows a bell-shaped curve labeled "Standard Normal Distribution." A shaded area under the curve to the left of a certain point is marked "Area," indicating the cumulative probability for a given Z-score.

#### Table
The table lists Z-scores ranging from -3.4 to -0.1 along the leftmost column. Across the top, decimal places from 0.00 to 0.09 are displayed. Each cell contains the cumulative probability for that particular Z-score; these values are cumulative probabilities for the given Z-scores mentioned.

### Page 2

#### Diagram
The right half continues the bell-shaped curve with the same "Area" indication. The shaded area demonstrates cumulative probability to the right of a point on the curve, complementing the first half's demonstrations for the positive Z-values.

#### Table
The table lists Z-scores from 0.0 to 3.4 along the leftmost column. The top contains decimal values from 0.00 to 0.09. Each cell entry represents the cumulative probability associated with the corresponding Z-score and decimal value.

This table is used in statistical analysis to determine the probability of a random variable falling within a particular range of the normal distribution, which is essential for hypothesis testing and confidence interval estimation.
Transcribed Image Text:The image contains a standard normal distribution table, commonly used in statistics to find the probability that a statistic is observed below, above, or between values on the standard normal distribution (Z-distribution). ### Page 1 #### Diagram The left half shows a bell-shaped curve labeled "Standard Normal Distribution." A shaded area under the curve to the left of a certain point is marked "Area," indicating the cumulative probability for a given Z-score. #### Table The table lists Z-scores ranging from -3.4 to -0.1 along the leftmost column. Across the top, decimal places from 0.00 to 0.09 are displayed. Each cell contains the cumulative probability for that particular Z-score; these values are cumulative probabilities for the given Z-scores mentioned. ### Page 2 #### Diagram The right half continues the bell-shaped curve with the same "Area" indication. The shaded area demonstrates cumulative probability to the right of a point on the curve, complementing the first half's demonstrations for the positive Z-values. #### Table The table lists Z-scores from 0.0 to 3.4 along the leftmost column. The top contains decimal values from 0.00 to 0.09. Each cell entry represents the cumulative probability associated with the corresponding Z-score and decimal value. This table is used in statistical analysis to determine the probability of a random variable falling within a particular range of the normal distribution, which is essential for hypothesis testing and confidence interval estimation.
According to a study, the proportion of people who are satisfied with the way things are going in their lives is 0.88. Suppose that a random sample of 100 people is obtained. Complete parts (a) through (e) below.

**(a)** Suppose the random sample of 100 people is asked, "Are you satisfied with the way things are going in your life?" Is the response to this question qualitative or quantitative? Explain.

- **C.** The response is qualitative because the responses can be classified based on the characteristic of being satisfied or not.

**(b)** Explain why the sample proportion, \( \hat{p} \), is a random variable. What is the source of the variability?

- **D.** The sample proportion \( \hat{p} \) is a random variable because the value of \( \hat{p} \) varies from sample to sample. The variability is due to the fact that different people feel differently regarding their satisfaction.

**(c)** Describe the sampling distribution of \( \hat{p} \), the proportion of people who are satisfied with the way things are going in their life. Be sure to verify the model requirements.

Since the sample size is no more than 5% of the population size and \( np(1-p) = 10.56 \geq 10 \), the distribution of \( \hat{p} \) is approximately normal with \( \mu_{\hat{p}} = 0.880 \) and \( \sigma_{\hat{p}} = 0.032 \). (Round to three decimal places as needed.)

**(d)** In the sample obtained in part (a), what is the probability that the proportion who are satisfied with the way things are going in their life exceeds 0.91?

The probability that the proportion who are satisfied with the way things are going in their life exceeds 0.91 is \( - \). (Round to four decimal places as needed.)

**Additional Notes**:
- There are links provided for viewing the standard normal distribution tables for further calculations.
Transcribed Image Text:According to a study, the proportion of people who are satisfied with the way things are going in their lives is 0.88. Suppose that a random sample of 100 people is obtained. Complete parts (a) through (e) below. **(a)** Suppose the random sample of 100 people is asked, "Are you satisfied with the way things are going in your life?" Is the response to this question qualitative or quantitative? Explain. - **C.** The response is qualitative because the responses can be classified based on the characteristic of being satisfied or not. **(b)** Explain why the sample proportion, \( \hat{p} \), is a random variable. What is the source of the variability? - **D.** The sample proportion \( \hat{p} \) is a random variable because the value of \( \hat{p} \) varies from sample to sample. The variability is due to the fact that different people feel differently regarding their satisfaction. **(c)** Describe the sampling distribution of \( \hat{p} \), the proportion of people who are satisfied with the way things are going in their life. Be sure to verify the model requirements. Since the sample size is no more than 5% of the population size and \( np(1-p) = 10.56 \geq 10 \), the distribution of \( \hat{p} \) is approximately normal with \( \mu_{\hat{p}} = 0.880 \) and \( \sigma_{\hat{p}} = 0.032 \). (Round to three decimal places as needed.) **(d)** In the sample obtained in part (a), what is the probability that the proportion who are satisfied with the way things are going in their life exceeds 0.91? The probability that the proportion who are satisfied with the way things are going in their life exceeds 0.91 is \( - \). (Round to four decimal places as needed.) **Additional Notes**: - There are links provided for viewing the standard normal distribution tables for further calculations.
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