Math Problem Statement
Use the given information to find the number of degrees of freedom, the critical values chi Subscript Upper L Superscript 2 and chi Subscript Upper R Superscript 2, and the confidence interval estimate of sigma. It is reasonable to assume that a simple random sample has been selected from a population with a normal distribution. White Blood Counts of Women 90% confidence; nequals150, sequals1.95 (1000 cells/muL). Question content area bottom Part 1 dfequals 149 (Type a whole number.) Part 2 chi Subscript Upper L Superscript 2equals 121.79 (Round to two decimal places as needed.) Part 3 chi Subscript Upper R Superscript 2equals enter your response here (Round to two decimal places as needed.)
Solution
Let's walk through the problem step-by-step to solve for the degrees of freedom (df), critical values and , and the confidence interval estimate of (standard deviation).
Part 1: Degrees of Freedom (df)
The degrees of freedom are calculated as: where is the sample size.
Given:
Answer:
Part 2: Critical Values and
These critical values correspond to a 90% confidence level for a chi-square distribution with 149 degrees of freedom. We need the left-tail and right-tail critical values such that:
This means:
- Left-tail area =
- Right-tail area =
Using a chi-square table or calculator for :
Now let’s find the right critical value: Using a chi-square calculator for :
Answer:
Part 3: Confidence Interval Estimate for
The confidence interval for the population standard deviation is given by:
Given:
Step 1: Compute :
Step 2: Compute the lower and upper bounds:
Answer:
Final Answers:
- Degrees of freedom (df) = 149
- = 121.79
- = 178.16
- Confidence interval for =
Do you need further clarifications or additional steps?
Related Questions:
- How do degrees of freedom affect confidence intervals?
- What happens if the sample size increases—how does it impact the width of the interval?
- What is the difference between confidence intervals for and ?
- How can we compute chi-square critical values without a table?
- How does the confidence level (e.g., 90% vs. 95%) affect the critical values?
Tip: Always check that your data follows a normal distribution when using the chi-square method for variance or standard deviation estimates.
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Math Problem Analysis
Mathematical Concepts
Chi-square distribution
Confidence intervals
Degrees of freedom
Formulas
df = n - 1
P(chi_L^2 ≤ chi^2 ≤ chi_R^2) = 0.90
Confidence interval for sigma: sqrt((n - 1) * s^2 / chi_R^2) ≤ sigma ≤ sqrt((n - 1) * s^2 / chi_L^2)
Theorems
Chi-square distribution for confidence intervals
Degrees of freedom in statistics
Suitable Grade Level
Undergraduate Statistics
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