Degrees of Freedom For Example 1, we used df=smaller of n1-1 and n2-1 we got df=11 and the corresponding critical value is t=-1.796 (found from Table A-4). If we calculate df using Formula 9-1, we get df=19.370 and the corresponding critical value is t=-1.727 How is using the critical value of t=-1.796 “more conservative” than using the critical value of t=-1.727
Table of contents
- 1. Intro to Stats and Collecting Data1h 14m
- 2. Describing Data with Tables and Graphs1h 56m
- 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 8m
- 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 Errors16m
- 10. Hypothesis Testing for Two Samples5h 37m
- 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
- Two Variances and F Distribution29m
- Two Variances - Graphing Calculator16m
- 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. ANOVA2h 28m
7. Sampling Distributions & Confidence Intervals: Mean
Introduction to Confidence Intervals
Problem 7.3.24
Textbook Question
FINDING SAMPLE SIZE Instead of using Table 7-2 for determining the sample size required to estimate a population standard deviation σ, the following formula can also be used
where corresponds to the confidence level and d is the decimal form of the percentage error. For example, to be 95% confident that s is within 15% of the value of σ, use zα/2=1.96 and d=0.15 to get a sample size of n=86. Find the sample size required to estimate the standard deviation of IQ scores of data scientists, assuming that we want 98% confidence that s is within 5% of σ.
Verified step by step guidance1
Step 1: Understand the formula for determining the sample size: n = (1/2) * (zα/2 / d)^2. Here, zα/2 corresponds to the z-score for the desired confidence level, and d is the decimal form of the percentage error.
Step 2: Identify the given values from the problem. For a 98% confidence level, zα/2 = 2.33 (this is the z-score corresponding to 98% confidence). The percentage error is 5%, so d = 0.05.
Step 3: Substitute the values of zα/2 and d into the formula. The formula becomes n = (1/2) * (2.33 / 0.05)^2.
Step 4: Simplify the expression inside the parentheses first. Calculate (2.33 / 0.05), then square the result.
Step 5: Multiply the squared result by (1/2) to find the sample size n. This will give you the required sample size to estimate the standard deviation with the specified confidence level and error margin.
Verified video answer for a similar problem:This video solution was recommended by our tutors as helpful for the problem above
Video duration:
2mPlay a video:
0 Comments
Key Concepts
Here are the essential concepts you must grasp in order to answer the question correctly.
Sample Size Determination
Sample size determination is a statistical process used to calculate the number of observations or replicates needed in a study to ensure that the results are reliable and valid. It is crucial for achieving a desired level of precision in estimating population parameters, such as the standard deviation. The formula provided in the question helps to find the minimum sample size required to estimate the population standard deviation with a specified confidence level and margin of error.
Recommended video:
Guided course
Coefficient of Determination
Confidence Level
The confidence level represents the degree of certainty that a population parameter lies within a specified interval. It is typically expressed as a percentage, such as 95% or 98%, indicating the proportion of times that the confidence interval would contain the true parameter if the study were repeated multiple times. In the context of the question, a 98% confidence level means that there is a 2% chance that the true standard deviation falls outside the calculated interval.
Recommended video:
Introduction to Confidence Intervals
Margin of Error
The margin of error is the range within which the true population parameter is expected to fall, given a certain level of confidence. It is often expressed as a percentage of the estimated value, indicating how much the estimate could vary. In the question, a margin of error of 5% means that the sample standard deviation should be within 5% of the actual population standard deviation, which directly influences the required sample size for accurate estimation.
Recommended video:
Finding the Minimum Sample Size Needed for a Confidence Interval
Watch next
Master Introduction to Confidence Intervals with a bite sized video explanation from Patrick
Start learningRelated Videos
Related Practice
Textbook Question
144
views
