Understanding Percentiles in Data

Understanding Percentiles in Data

10th Grade

10 Qs

quiz-placeholder

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Understanding Percentiles in Data

Understanding Percentiles in Data

Assessment

Quiz

Mathematics

10th Grade

Practice Problem

Hard

Created by

Rex Caliwag

Used 12+ times

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10 questions

Show all answers

1.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the formula to calculate the k-th percentile?

P(k) = (n + 2) * (k / 100)

P(k) = (n - 1) * (k / 100)

P(k) = n * (k / 100)

P(k) = (n + 1) * (k / 100)

2.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Given the data set {3, 7, 8, 12, 14}, what is the 50th percentile?

7

8

10

12

3.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

How do you find the 25th percentile in an ungrouped data set?

The 25th percentile is always the smallest value in the data set.

To find the 25th percentile, simply take the median of the data set.

The 25th percentile is the value at the calculated index in the ordered data set.

The 25th percentile is the average of the first and second values in the ordered data set.

4.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

If a student scored in the 90th percentile, what does that indicate about their performance?

The student scored below average.

The student is in the top 10% of their class.

The student performed better than 50% of their peers.

The student performed better than 90% of their peers.

5.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Calculate the 75th percentile for the data set {5, 10, 15, 20, 25, 30}.

30

25

20

27.5

6.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

In a data set of 20 values, how do you determine the position of the 40th percentile?

9.2nd position (between the 9th and 10th values)

7.5th position (between the 7th and 8th values)

10th position (the 10th value)

8.4th position (between the 8th and 9th values)

7.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the difference between quartiles and percentiles?

Quartiles are specific types of percentiles that divide data into four parts, while percentiles divide data into 100 parts.

Quartiles are the same as percentiles.

Percentiles are used only for categorical data.

Quartiles can divide data into any number of parts.

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