Math Problem Statement
A random sample of 200 individuals working in a large city indicated that 40 are dissatisfied with their working conditions. Based upon this, compute a 99% confidence interval for the proportion of all individuals in this city who are dissatisfied with their working conditions. Then find the lower limit and upper limit of
the 99% confidence interval.
Carry your intermediate computations to at least three decimal places. Round your answers to two decimal places. (If necessary, consult a list of formulas.)
Lower limit:
Upper limit:
Solution
To calculate the 99% confidence interval for the proportion of individuals dissatisfied with their working conditions, follow these steps:
Step 1: Identify the Given Information
- Sample size () = 200
- Number of dissatisfied individuals () = 40
- Confidence level = 99%
Step 2: Calculate the Sample Proportion ()
The sample proportion is calculated as:
Step 3: Find the Critical Value (Z)
For a 99% confidence level, the critical value is approximately 2.576 (from the Z-table).
Step 4: Calculate the Standard Error (SE)
The standard error of the sample proportion is calculated using the formula:
Substitute the values:
Step 5: Calculate the Margin of Error (ME)
The margin of error is calculated as:
Step 6: Calculate the Confidence Interval
Finally, the confidence interval for the population proportion is given by:
Final Answer:
- Lower limit:
- Upper limit:
This means we are 99% confident that the true proportion of individuals in this city who are dissatisfied with their working conditions lies between 13% and 27%.
Would you like more details or have any other questions? Here are some related questions you might find useful:
- How does the sample size affect the confidence interval for proportions?
- What are the assumptions for using the Z-distribution in proportion confidence intervals?
- How would a different confidence level affect the width of the confidence interval?
- How does the observed proportion influence the margin of error?
- What are the implications if the confidence interval for the proportion is very wide?
Tip: When calculating confidence intervals for proportions, ensure that both and are at least 5 to satisfy the normal approximation conditions.
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Math Problem Analysis
Mathematical Concepts
Statistics
Confidence Interval
Proportions
Formulas
Sample Proportion (\(\hat{p}\))
Standard Error (SE)
Margin of Error (ME)
Confidence Interval Formula
Theorems
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Suitable Grade Level
Advanced High School or College
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