A researcher wishes to estimate the percentage of adults who support abolishing the penny. What size sample should be obtained if he wishes the estimate to be within 5 percentage points with 99% confidence if (a) he uses a previous estimate of 28%? (b) he does not use any prior estimates? Click here to view the standard normal distribution table (page 1). Click here to view the standard normal distribution table (page 2). ... (a) n = (Round up to the nearest integer.)

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### Estimating Sample Size for Abolishing the Penny

#### Problem Statement:
A researcher wishes to estimate the percentage of adults who support abolishing the penny. What size sample should be obtained if he wishes the estimate to be within 5 percentage points with 99% confidence if:
(a) he uses a previous estimate of 28%?
(b) he does not use any prior estimates?

#### Instructions:
- Click here to view the standard normal distribution table (page 1).
- Click here to view the standard normal distribution table (page 2).

#### Questions:
(a) n = ___ (Round up to the nearest integer.)

<div>
  <button>Help me solve this</button>
  <button>View an example</button>
  <button>Get more help ¬</button>
  <button>Clear all</button>
  <button>Check answer</button>
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### Context:
The scenario given focuses on estimating the required sample size for a survey with a specific margin of error and confidence level. Utilizing the standard normal distribution table can help determine the necessary sample size. When no prior estimate is available, a default proportion of 0.5 is commonly used to ensure a conservative and sufficiently large sample size.

### Example Solution:
Let's illustrate solving this problem in two steps: 
1. Using the previous estimate of 28%.
2. With no prior estimates.

For both these calculations, the margin of error (E) is 0.05, and the confidence level is 99%, which corresponds to a z-value obtained from the standard normal distribution table. 

#### Step-by-Step Calculations (Hypothetical):
For detailed guiding on solving such problems, users can click on "Help me solve this" or "View an example" buttons.

(Note: This example deliberately does not solve the problem but serves to guide users to detailed resources.)

### User Options:
- **Help me solve this:** Step-by-step solution guide.
- **View an example:** See a similar solved example.
- **Get more help:** Access additional resources or ask for further assistance.
- **Clear all:** Reset inputs to start fresh.
- **Check answer:** Validate your calculated answer.

---

This problem format helps learners practice and understand the necessary statistical methods to estimate sample sizes for surveys within specified confidence levels and margins of error.
Transcribed Image Text:### Estimating Sample Size for Abolishing the Penny #### Problem Statement: A researcher wishes to estimate the percentage of adults who support abolishing the penny. What size sample should be obtained if he wishes the estimate to be within 5 percentage points with 99% confidence if: (a) he uses a previous estimate of 28%? (b) he does not use any prior estimates? #### Instructions: - Click here to view the standard normal distribution table (page 1). - Click here to view the standard normal distribution table (page 2). #### Questions: (a) n = ___ (Round up to the nearest integer.) <div> <button>Help me solve this</button> <button>View an example</button> <button>Get more help ¬</button> <button>Clear all</button> <button>Check answer</button> </div> ### Context: The scenario given focuses on estimating the required sample size for a survey with a specific margin of error and confidence level. Utilizing the standard normal distribution table can help determine the necessary sample size. When no prior estimate is available, a default proportion of 0.5 is commonly used to ensure a conservative and sufficiently large sample size. ### Example Solution: Let's illustrate solving this problem in two steps: 1. Using the previous estimate of 28%. 2. With no prior estimates. For both these calculations, the margin of error (E) is 0.05, and the confidence level is 99%, which corresponds to a z-value obtained from the standard normal distribution table. #### Step-by-Step Calculations (Hypothetical): For detailed guiding on solving such problems, users can click on "Help me solve this" or "View an example" buttons. (Note: This example deliberately does not solve the problem but serves to guide users to detailed resources.) ### User Options: - **Help me solve this:** Step-by-step solution guide. - **View an example:** See a similar solved example. - **Get more help:** Access additional resources or ask for further assistance. - **Clear all:** Reset inputs to start fresh. - **Check answer:** Validate your calculated answer. --- This problem format helps learners practice and understand the necessary statistical methods to estimate sample sizes for surveys within specified confidence levels and margins of error.
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