Given a sample with a sample mean of and a sample standard deviation of , which of the following best describes the sample mean?
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: Proportion1h 25m
- 9. Hypothesis Testing for One Sample3h 29m
- 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. Regression1h 50m
- 13. Chi-Square Tests & Goodness of Fit2h 21m
- 14. ANOVA1h 57m
3. Describing Data Numerically
Mean
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Join thousands of students who trust us to help them ace their exams!Watch the first videoMultiple Choice
The sample mean is the point estimator of which population parameter?
A
The population median
B
The population mean
C
The population variance
D
The population mode
Verified step by step guidance1
Understand that a point estimator is a statistic used to estimate a specific population parameter based on sample data.
Recall that the sample mean, often denoted as \(\bar{x}\), is calculated by summing all sample observations and dividing by the sample size \(n\): \(\bar{x} = \frac{1}{n} \sum_{i=1}^n x_i\).
Recognize that the sample mean is used to estimate the population mean, which is the average value of the entire population, denoted by \(\mu\).
Note that other population parameters like the median, variance, and mode have different estimators (e.g., sample median, sample variance, sample mode).
Therefore, the sample mean serves as the point estimator specifically for the population mean.
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