You Explain It! Percentiles According to the National Center for Health Statistics, a 19-year-old female whose height is 67.1 inches has a height that is at the 85th percentile. Explain what this means.
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
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- Steps in Hypothesis Testing1h 6m
- Performing Hypothesis Tests: Means1h 4m
- Hypothesis Testing: Means - Excel42m
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- Hypothesis Testing: Proportions - Excel27m
- Performing Hypothesis Tests: Variance12m
- Critical Values and Rejection Regions28m
- Link Between Confidence Intervals and Hypothesis Testing12m
- Type I & Type II Errors17m
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- Two Proportions1h 13m
- Two Proportions Hypothesis Test - Excel28m
- Two Means - Unknown, Unequal Variance1h 3m
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- Two Means - Unknown, Equal Variance15m
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- Two Means - Matched Pairs (Dependent Samples)42m
- Matched Pairs Hypothesis Test - Excel12m
- Two Variances and F Distribution29m
- Two Variances - Graphing Calculator16m
- 11. Correlation1h 24m
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- Linear Regression & Least Squares Method26m
- Residuals12m
- Coefficient of Determination12m
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- Inferences for Slope31m
- Enabling Data Analysis Toolpak1m
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- Prediction Intervals13m
- Prediction Intervals - Excel19m
- Multiple Regression - Excel29m
- Quadratic Regression15m
- Quadratic Regression - Excel10m
- 13. Chi-Square Tests & Goodness of Fit2h 21m
- 14. ANOVA2h 28m
3. Describing Data Numerically
Percentiles & Quartiles
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Join thousands of students who trust us to help them ace their exams!Watch the first videoMultiple Choice
In a distribution of exam scores, what does it mean for a student to be at the 95th percentile?
A
The student’s score is 95% of the maximum possible score.
B
The student scored higher than or equal to 95% of the students in the distribution.
C
95% of the students scored exactly the same as this student.
D
The student scored higher than or equal to 5% of the students in the distribution.
Verified step by step guidance1
Understand that a percentile indicates the relative standing of a value within a data distribution. Specifically, the p-th percentile is the value below which p percent of the data falls.
Recognize that being at the 95th percentile means the student's score is greater than or equal to 95% of all the scores in the distribution.
Note that this does not mean the student scored 95% of the maximum possible score; percentiles relate to the position within the data, not the raw score percentage.
Also, it does not mean that 95% of students scored exactly the same as this student, but rather that 95% scored less than or equal to this student's score.
Finally, understand that the student scored higher than or equal to 95% of the students, not just 5%, which would correspond to the 5th percentile.
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