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: 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
Percentiles & Quartiles
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Answer the questions below using the data in the table.

(A) Find
(B) A playlist with 15 songs is in which percentile?
(C) Find Q1 and Q3
A
(A) ; (B) 43rd percentile; (C) &
B
(A) ; (B) percentile; (C) & Q3=20.5
C
(A) ; (B) percentile; (C) &
D
(A) 15.5; (B) percentile; (C) &
Verified step by step guidance1
Step 1: Organize the data in ascending order. The table already provides the data sorted in ascending order, which is crucial for calculating percentiles and quartiles.
Step 2: To find P50 (the 50th percentile, also known as the median), locate the middle value of the dataset. If the dataset has an odd number of values, the median is the middle value. If the dataset has an even number of values, the median is the average of the two middle values.
Step 3: To determine the percentile of a playlist with 15 songs, use the formula: Percentile = ((Number of values below the given value) / Total number of values) × 100. Count how many values are below 15 in the dataset and apply the formula.
Step 4: To find Q1 (the first quartile), locate the value at the 25th percentile. This is the median of the lower half of the dataset (excluding the overall median if the dataset has an odd number of values).
Step 5: To find Q3 (the third quartile), locate the value at the 75th percentile. This is the median of the upper half of the dataset (excluding the overall median if the dataset has an odd number of values).
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