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TED 08 - Stats

Authored by Samuel Pantaras

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University

TED 08 - Stats
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10 questions

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1.

MULTIPLE CHOICE QUESTION

1 min • 1 pt

Media Image

Calculate the mean for the exam scores of a class: 75, 85, 80, 95, 90.

80

85

83

87

Answer explanation

  1. Mean = (75 + 80 + 85 + 90 + 95) / 5 = 425 / 5 = 85.

2.

MULTIPLE CHOICE QUESTION

1 min • 1 pt

Find the median for the set of numbers: 12, 18, 15, 25, 22.

15

18

22

25

Answer explanation

  1. Since the dataset is sorted: 12, 15, 18, 22, 25, the median is the middle value, which is 18.

3.

MULTIPLE CHOICE QUESTION

1 min • 1 pt

  1. Identify the mode(s) in the following dataset: 10, 12, 15, 10, 18, 15, 20, 10.

18

15

12

10

Answer explanation

The mode is 10 because it appears most frequently in the dataset.

4.

MULTIPLE CHOICE QUESTION

1 min • 1 pt

This Measure of central tendency help evaluate student performance on tests, assignments, and other assessments, providing a snapshot of the class's overall performance

Assessing Student Performance

Tracking Student Progress

Identifying Students at Risk

Setting Goals and Expectations

Evaluating Teaching Effectiveness

5.

MULTIPLE CHOICE QUESTION

1 min • 1 pt

By comparing individual student performance to the central tendency measures, teachers can identify students who may be struggling and enable early intervention strategies

Assessing Student Performance

Tracking Student Progress

Identifying Students at Risk

Setting Goals and Expectations

Evaluating Teaching Effectiveness

6.

MULTIPLE CHOICE QUESTION

1 min • 1 pt

Why is understanding the Standard Deviation important in data analysis?

It helps in identifying the mode of a distribution.

It provides information about the spread or variability of a dataset.

It measures the average value of a dataset.

It calculates the central tendency of a dataset.

Answer explanation

The standard deviation is important because it provides information about the spread or variability of a dataset.

7.

MULTIPLE CHOICE QUESTION

1 min • 1 pt

Why is variability important in understanding normal distribution with the same mean?

Variability measures the most frequent value in the distribution.

Variability provides insights into the range and spread of values around the mean.

It helps in identifying whether the distribution is positively or negatively skewed.

It determines the number of data points in a normal distribution.

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