Drug Concentration You are analyzing the times for the drug concentrations to peak in the patients in Exercise 14. The population standard deviation of the times for epinephrine concentrations to peak should be less than 10 minutes. Does the confidence interval you constructed for σ suggest that the variation in the times is at an acceptable level? Explain your reasoning.
Table of contents
- 1. Intro to Stats and Collecting Data1h 14m
- 2. Describing Data with Tables and Graphs1h 55m
- 3. Describing Data Numerically2h 5m
- 4. Probability2h 16m
- 5. Binomial Distribution & Discrete Random Variables3h 6m
- 6. Normal Distribution and Continuous Random Variables2h 11m
- 7. Sampling Distributions & Confidence Intervals: Mean3h 23m
- Sampling Distribution of the Sample Mean and Central Limit Theorem19m
- Distribution of Sample Mean - Excel23m
- Introduction to Confidence Intervals15m
- Confidence Intervals for Population Mean1h 18m
- Determining the Minimum Sample Size Required12m
- Finding Probabilities and T Critical Values - Excel28m
- Confidence Intervals for Population Means - Excel25m
- 8. Sampling Distributions & Confidence Intervals: Proportion2h 10m
- 9. Hypothesis Testing for One Sample5h 6m
- Steps in Hypothesis Testing1h 6m
- Performing Hypothesis Tests: Means1h 4m
- Hypothesis Testing: Means - Excel42m
- Performing Hypothesis Tests: Proportions37m
- Hypothesis Testing: Proportions - Excel27m
- Performing Hypothesis Tests: Variance12m
- Critical Values and Rejection Regions28m
- Link Between Confidence Intervals and Hypothesis Testing12m
- Type I & Type II Errors15m
- 10. Hypothesis Testing for Two Samples4h 50m
- Two Proportions1h 13m
- Two Proportions Hypothesis Test - Excel28m
- Two Means - Unknown, Unequal Variance1h 3m
- Two Means - Unknown Variances Hypothesis Test - Excel12m
- Two Means - Unknown, Equal Variance15m
- Two Means - Unknown, Equal Variances Hypothesis Test - Excel9m
- Two Means - Known Variance12m
- Two Means - Sigma Known Hypothesis Test - Excel21m
- Two Means - Matched Pairs (Dependent Samples)42m
- Matched Pairs Hypothesis Test - Excel12m
- 11. Correlation1h 24m
- 12. Regression3h 33m
- Linear Regression & Least Squares Method26m
- Residuals12m
- Coefficient of Determination12m
- Regression Line Equation and Coefficient of Determination - Excel8m
- Finding Residuals and Creating Residual Plots - Excel11m
- Inferences for Slope31m
- Enabling Data Analysis Toolpak1m
- Regression Readout of the Data Analysis Toolpak - Excel21m
- Prediction Intervals13m
- Prediction Intervals - Excel19m
- Multiple Regression - Excel29m
- Quadratic Regression15m
- Quadratic Regression - Excel10m
- 13. Chi-Square Tests & Goodness of Fit2h 21m
- 14. ANOVA1h 57m
8. Sampling Distributions & Confidence Intervals: Proportion
Confidence Intervals for Population Proportion
Problem 6.T.1a
Textbook Question
In a survey of 2096 U.S. adults, 1740 think football teams of all levels should require players who suffer a head injury to take a set amount of time off from playing to recover. (Adapted from The Harris Poll)
a. Find the point estimate for the population proportion.
Verified step by step guidance1
Identify the formula for the point estimate of a population proportion, which is given by \( \hat{p} = \frac{x}{n} \), where \( x \) is the number of successes (individuals with the desired characteristic) and \( n \) is the total sample size.
From the problem, note that \( x = 1740 \) (the number of adults who think players should take time off) and \( n = 2096 \) (the total number of surveyed adults).
Substitute the values of \( x \) and \( n \) into the formula: \( \hat{p} = \frac{1740}{2096} \).
Simplify the fraction to calculate the proportion. This will give you the point estimate for the population proportion.
Interpret the result: The point estimate represents the proportion of U.S. adults who believe football players should take time off after a head injury, based on the survey data.
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Key Concepts
Here are the essential concepts you must grasp in order to answer the question correctly.
Point Estimate
A point estimate is a single value that serves as a best guess or approximation of a population parameter. In this context, it refers to the proportion of U.S. adults who believe that football players should take time off after a head injury. The point estimate is calculated by dividing the number of individuals who support the idea by the total number of surveyed individuals.
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Introduction to Confidence Intervals
Population Proportion
The population proportion is the fraction of a population that possesses a certain characteristic. It is denoted by 'p' and is crucial for understanding the overall sentiment of a group. In this case, it represents the proportion of all U.S. adults who think players should take time off after a head injury, which can be estimated using survey data.
Recommended video:
Constructing Confidence Intervals for Proportions
Sample Size
Sample size refers to the number of observations or data points collected in a survey or study. A larger sample size generally leads to more reliable estimates of population parameters, as it reduces the margin of error. In this question, the sample size of 2096 adults is significant for calculating the point estimate and assessing the reliability of the findings.
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Sampling Distribution of Sample Proportion
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