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Variables and Data Types in Statistics Quiz

#1

Which of the following is an example of a continuous variable?

Weight of a person
Explanation

Continuous variables can take any value within a range.

#2

What data type would you use to represent a person's age?

Integer
Explanation

Age is typically represented as whole numbers.

#3

Which of the following is a valid data type for representing a person's gender?

String
Explanation

String data type allows for text representation.

#4

What is the mode of the following dataset: [5, 7, 5, 3, 2, 5, 7]?

5
Explanation

Mode is the most frequently occurring value.

#5

What is the median of the dataset: [10, 15, 20, 25, 30]?

22.5
Explanation

Median is the middle value when the data is arranged in ascending order.

#6

Which of the following is not a valid data type in statistics?

Tropical
Explanation

Tropical is not a recognized data type in statistics.

#7

In statistics, what does 'mean' refer to?

The average value of a dataset
Explanation

Mean is the sum of values divided by the number of values.

#8

Which of the following statements about a standard deviation is true?

It is a measure of the average deviation of data points from the mean
Explanation

Standard deviation measures the spread of data around the mean.

#9

What is the formula for calculating variance?

Sum of squared deviations divided by sample size minus one
Explanation

Variance measures the dispersion of a set of values.

#10

Which of the following statements about correlation is correct?

Correlation measures the strength of a linear relationship between two variables
Explanation

Correlation quantifies the extent to which two variables change together.

#11

What is the purpose of declaring a variable in statistics?

To store and represent data
Explanation

Variables in statistics hold data for analysis.

#12

In statistics, what does 'skewness' refer to?

The measure of asymmetry in the distribution
Explanation

Skewness indicates the lack of symmetry in a distribution.

#13

What is the formula for Pearson correlation coefficient (r)?

Sum of products of deviations from means divided by square root of the product of sum of squared deviations
Explanation

Pearson correlation measures the strength and direction of the linear relationship between two variables.

#14

What is the purpose of statistical hypothesis testing?

To assess the likelihood of a hypothesis given data
Explanation

Hypothesis testing evaluates claims about a population using sample data.

#15

What is the purpose of the central limit theorem?

To describe the distribution of sample means
Explanation

Central Limit Theorem explains the distribution of sample means.

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