Suppose the probability density function is for . Which of the following statements is true about the median of ?
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
Struggling with Statistics?
Join thousands of students who trust us to help them ace their exams!Watch the first videoMultiple Choice
A sample has a mean of and a standard deviation of . In this sample, which of the following statements is true?
A
The variance of the sample is .
B
The most frequently occurring value in the sample is .
C
The average value of the sample data is .
D
The sum of all sample values is .
Verified step by step guidance1
Understand the definitions of the given statistics: the sample mean (\( m \)) is the average of all sample values, and the sample standard deviation (\( s \)) measures the spread of the data around the mean.
Recall that the variance (\( s^2 \)) is the square of the standard deviation, so it is calculated as \( s^2 = s \times s \). Given \( s = 3 \), the variance is \( 3^2 = 9 \), not 71.
Recognize that the most frequently occurring value in a data set is called the mode, which is not necessarily equal to the mean (\( m = 71 \)) unless specified. Since no mode is given, we cannot assume it is 71.
The sample mean (\( m = 71 \)) represents the average value of the sample data, so the statement 'The average value of the sample data is 71' is true by definition.
The sum of all sample values is calculated by multiplying the mean by the sample size (\( n \)), i.e., \( \text{sum} = m \times n \). Since the sample size is not provided, the sum cannot be 3.
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