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Descriptive Statistics and Frequency Distributions Quiz

#1

Which of the following best describes descriptive statistics?

It is the branch of mathematics that deals with the collection, analysis, interpretation, and presentation of data.
Explanation

Descriptive statistics summarizes data.

#2

What is the purpose of a frequency distribution?

To summarize and organize data into categories and display their frequencies.
Explanation

Frequency distribution organizes and displays data.

#3

What is the main purpose of calculating measures of dispersion?

To measure the spread or variability of the data.
Explanation

Measures of dispersion quantify variability.

#4

What statistical measure is used to quantify the strength and direction of the linear relationship between two variables?

Correlation coefficient
Explanation

Correlation coefficient quantifies linear relationships.

#5

Which of the following measures is used to describe the spread of a dataset?

Range
Explanation

Range measures spread of data.

#6

Which measure of central tendency is affected most by extreme values?

Mean
Explanation

Mean is sensitive to extreme values.

#7

What is the purpose of constructing a histogram?

To display the distribution of a continuous variable.
Explanation

Histograms show continuous variable distributions.

#8

What does the interquartile range (IQR) represent in a dataset?

The range between the first and third quartiles.
Explanation

IQR represents the spread within the middle 50% of data.

#9

In a frequency distribution, what does the term 'cumulative frequency' refer to?

The total frequency up to a certain value in a dataset.
Explanation

Cumulative frequency is the total up to a certain point.

#10

Which graphical method is best suited for displaying the relationship between two continuous variables?

Scatter plot
Explanation

Scatter plots depict relationships between continuous variables.

#11

Which of the following best describes a positively skewed distribution?

The tail of the distribution extends to the right.
Explanation

Positive skew: tail extends to the right.

#12

What is the formula to calculate the standard deviation of a sample?

σ = √(Σ(x - μ)² / (n - 1))
Explanation

Standard deviation measures dispersion.

#13

What is the formula to calculate the coefficient of variation (CV)?

CV = (Standard Deviation) / (Mean)
Explanation

Coefficient of variation standardizes dispersion.

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