Use the sample data and confidence level given below to complete parts (a) through (d). A research institute poll asked respondents if they felt vulnerable to identity theft. In the poll, n= 1061 and x = 591 who said "yes." Use a 95% confidence level. | Click the icon to view a table of z scores. ..... a) Find the best point estimate of the population proportion p. (Round to three decimal places as needed.) b) Identify the value of the margin of error E. E =] (Round to three decimal places as needed.) c) Construct the confidence interval. O

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Use the sample data and confidence level given below to complete parts (a) through (d).

A research institute poll asked respondents if they felt vulnerable to identity theft. In the poll, \( n = 1061 \) and \( x = 591 \) who said "yes." Use a 95% confidence level.

[Click the icon to view a table of z scores.]

---

a) Find the best point estimate of the population proportion \( p \).

[Round to three decimal places as needed.]

\(\square\)

b) Identify the value of the margin of error \( E \).

\( E = \square \)

[Round to three decimal places as needed.]

c) Construct the confidence interval.

\(\square < p < \square\)

[Round to three decimal places as needed.]

d) Write a statement that correctly interprets the confidence interval. Choose the correct answer below.

- A. There is a 95% chance that the true value of the population proportion will fall between the lower bound and the upper bound.

- B. One has 95% confidence that the sample proportion is equal to the population proportion.

- C. 95% of sample proportions will fall between the lower bound and the upper bound.

- D. One has 95% confidence that the interval from the lower bound to the upper bound actually does contain the true value of the population proportion.
Transcribed Image Text:Use the sample data and confidence level given below to complete parts (a) through (d). A research institute poll asked respondents if they felt vulnerable to identity theft. In the poll, \( n = 1061 \) and \( x = 591 \) who said "yes." Use a 95% confidence level. [Click the icon to view a table of z scores.] --- a) Find the best point estimate of the population proportion \( p \). [Round to three decimal places as needed.] \(\square\) b) Identify the value of the margin of error \( E \). \( E = \square \) [Round to three decimal places as needed.] c) Construct the confidence interval. \(\square < p < \square\) [Round to three decimal places as needed.] d) Write a statement that correctly interprets the confidence interval. Choose the correct answer below. - A. There is a 95% chance that the true value of the population proportion will fall between the lower bound and the upper bound. - B. One has 95% confidence that the sample proportion is equal to the population proportion. - C. 95% of sample proportions will fall between the lower bound and the upper bound. - D. One has 95% confidence that the interval from the lower bound to the upper bound actually does contain the true value of the population proportion.
**Standard Normal (z) Distribution Table**

This table provides the probabilities associated with the standard normal distribution (also called z-distribution), which is used in statistics to determine the likelihood of a random variable falling within a particular range of values. The standard normal distribution is a normal distribution with a mean of 0 and a standard deviation of 1.

**Understanding the Table:**

The table is divided into rows and columns that correspond to z-scores. A z-score represents the number of standard deviations a data point is from the mean.

- **Rows (z):** These indicate the whole number and first decimal place of the z-score (e.g., 0.0, 0.1, ..., 2.0).

- **Columns:** Represent the second decimal place of the z-score (e.g., .00, .01, ..., .09).

**Example of Table Usage:**

To find the probability of a z-score of 1.95:

1. Locate the row for 1.9.
2. Move across to the column for .05.
3. The intersection gives the probability: 0.9750.

This means that approximately 97.50% of the data falls below a z-score of 1.95.

### Probability Values:

- **z = 0.0** 
  - .00: .5000
  - .01: .5040
  - .09: .5359
  
- **z = 0.1**
  - .00: .5398
  - .01: .5438
  - .09: .5753
  
- **z = 1.0**
  - .00: .8413
  - .01: .8438
  - .09: .8599

- **z = 1.5**
  - .00: .9332
  - .01: .9345
  - .09: .9418

- **z = 2.0**
  - .00: .9772
  - .01: .9778
  - .09: .9817

Note: These values are part of the cumulative distribution function (CDF) for the standard normal distribution, representing the area under the curve to the left of the specified z-score.
Transcribed Image Text:**Standard Normal (z) Distribution Table** This table provides the probabilities associated with the standard normal distribution (also called z-distribution), which is used in statistics to determine the likelihood of a random variable falling within a particular range of values. The standard normal distribution is a normal distribution with a mean of 0 and a standard deviation of 1. **Understanding the Table:** The table is divided into rows and columns that correspond to z-scores. A z-score represents the number of standard deviations a data point is from the mean. - **Rows (z):** These indicate the whole number and first decimal place of the z-score (e.g., 0.0, 0.1, ..., 2.0). - **Columns:** Represent the second decimal place of the z-score (e.g., .00, .01, ..., .09). **Example of Table Usage:** To find the probability of a z-score of 1.95: 1. Locate the row for 1.9. 2. Move across to the column for .05. 3. The intersection gives the probability: 0.9750. This means that approximately 97.50% of the data falls below a z-score of 1.95. ### Probability Values: - **z = 0.0** - .00: .5000 - .01: .5040 - .09: .5359 - **z = 0.1** - .00: .5398 - .01: .5438 - .09: .5753 - **z = 1.0** - .00: .8413 - .01: .8438 - .09: .8599 - **z = 1.5** - .00: .9332 - .01: .9345 - .09: .9418 - **z = 2.0** - .00: .9772 - .01: .9778 - .09: .9817 Note: These values are part of the cumulative distribution function (CDF) for the standard normal distribution, representing the area under the curve to the left of the specified z-score.
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