View Policies Current Attempt in Progress Public Two-Year Colleges From the data in CollegeScores2yr we know that about 66% of two-year colleges in the US are public institutions. Suppose that we select samples of n = 90 schools at a time from the population of all two-year colleges and find the proportion of public schools in each sample. (a) Consider the distribution of these sample proportions when n = 90 and p 0.66. What is its form? Normal, or bell-shaped Center = i Standard error = (round to three decimal places) (b) What proportion of these samples will have more than 75% public schools? Round to three decimal places. Attempts: 0 of 1 used Submit Answer
View Policies Current Attempt in Progress Public Two-Year Colleges From the data in CollegeScores2yr we know that about 66% of two-year colleges in the US are public institutions. Suppose that we select samples of n = 90 schools at a time from the population of all two-year colleges and find the proportion of public schools in each sample. (a) Consider the distribution of these sample proportions when n = 90 and p 0.66. What is its form? Normal, or bell-shaped Center = i Standard error = (round to three decimal places) (b) What proportion of these samples will have more than 75% public schools? Round to three decimal places. Attempts: 0 of 1 used Submit Answer
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
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![### Current Attempt in Progress
#### Public Two-Year Colleges
From the data in CollegeScores2yr, we know that about 66% of two-year colleges in the US are public institutions. Suppose that we select samples of \( n = 90 \) schools at a time from the population of all two-year colleges and find the proportion of public schools in each sample.
**(a)** Consider the distribution of these sample proportions when \( n = 90 \) and \( p = 0.66 \).
- **What is its form?**
- Options: [Dropdown] Normal, or bell-shaped
- **Center =** [Input box]
- Tooltip: Information icon
- **Standard error =** [Input box] (round to three decimal places)
- Tooltip: Information icon
**(b)** What proportion of these samples will have more than 75% public schools? Round to three decimal places.
- [Input box]
- Tooltip: Information icon
[Save for Later button]
**Attempts: 0 of 1 used** [Submit Answer button]
---
This template provides an interface for users to consider statistical data regarding the proportion of public two-year colleges in the US. It guides users through understanding the form of the distribution, calculating the center and standard error, and determining specific proportions from the sampled data.](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2F915c192e-d8ba-4859-b60e-5e514228af12%2F1a370bfa-6c6e-4867-8eb6-46a79fcad603%2Fy35cvmr_processed.jpeg&w=3840&q=75)
Transcribed Image Text:### Current Attempt in Progress
#### Public Two-Year Colleges
From the data in CollegeScores2yr, we know that about 66% of two-year colleges in the US are public institutions. Suppose that we select samples of \( n = 90 \) schools at a time from the population of all two-year colleges and find the proportion of public schools in each sample.
**(a)** Consider the distribution of these sample proportions when \( n = 90 \) and \( p = 0.66 \).
- **What is its form?**
- Options: [Dropdown] Normal, or bell-shaped
- **Center =** [Input box]
- Tooltip: Information icon
- **Standard error =** [Input box] (round to three decimal places)
- Tooltip: Information icon
**(b)** What proportion of these samples will have more than 75% public schools? Round to three decimal places.
- [Input box]
- Tooltip: Information icon
[Save for Later button]
**Attempts: 0 of 1 used** [Submit Answer button]
---
This template provides an interface for users to consider statistical data regarding the proportion of public two-year colleges in the US. It guides users through understanding the form of the distribution, calculating the center and standard error, and determining specific proportions from the sampled data.
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