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Chapter 9 Vocabulary Words

Total questions: 33

Worksheet time: 6mins

Name
Class
Date
1.

The entire group being studied.

a)

Population

b)

Sample

c)

Variable

d)

Data

2.

A subset of the population selected for analysis.

a)

Population

b)

Sample

c)

Variable

d)

Data

3.

A characteristic or property that can take different values.

a)

Population

b)

Sample

c)

Variable

d)

Data

4.

Collected values of variables (e.g., numbers, categories).

a)

Population

b)

Sample

c)

Variable

d)

Data

5.

ata that represent categories (e.g.,
gender, colors).

a)

Qualitative (Categorical) Data

b)

Quantitative (Numerical) Data

c)

Discrete Data

d)

Continuous Data

6.

Data that represent numbers (e.g., height,
age)

a)

Qualitative (Categorical) Data

b)

Quantitative (Numerical) Data

c)

Discrete Data

d)

Continuous Data

7.

Countable values (e.g., number of students in a
class).

a)

Qualitative (Categorical) Data

b)

Quantitative (Numerical) Data

c)

Discrete Data

d)

Continuous Data

8.

Measured values that can take any number within
a range (e.g., weight, time).

a)

Qualitative (Categorical) Data

b)

Quantitative (Numerical) Data

c)

Discrete Data

d)

Continuous Data

9.

Sum of values divided by the number of values.

a)

Mean (Average)

b)

Median

c)

Mode

10.

The middle value when data are arranged in order.

a)

Mean (Average)

b)

Median

c)

Mode

11.

The most frequently occurring value in a dataset

a)

Mean (Average)

b)

Median

c)

Mode

12.

Difference between the maximum and minimum values

a)

Range

b)

Variance

c)

Standard Deviation

d)

Interquartile Range (IQR)

13.

The average squared deviation from the mean.

a)

Range

b)

Variance

c)

Standard Deviation

d)

Interquartile Range (IQR)

14.

A measure of how spread out data values are.

a)

Range

b)

Variance

c)

Standard Deviation

d)

Interquartile Range (IQR)

15.

The range between the first (Q1) and third
quartile (Q3).

a)

Range

b)

Variance

c)

Standard Deviation

d)

Interquartile Range (IQR)

16.

The likelihood of an event occurring.

a)

Probability

b)

Normal Distribution

c)

Skewness

d)

Kurtosis

17.

A symmetric, bell-shaped distribution where most
data falls near the mean.

a)

Probability

b)

Normal Distribution

c)

Skewness

d)

Kurtosis

18.

A measure of asymmetry in a distribution

a)

Probability

b)

Normal Distribution

c)

Skewness

d)

Kurtosis

19.

A measure of the "tailedness" of a distribution.

a)

Probability

b)

Normal Distribution

c)

Skewness

d)

Kurtosis

20.

A method for making decisions using data.

a)

Hypothesis Testing

b)

Null Hypothesis (H₀)

c)

Alternative Hypothesis (H₁ or Ha)

21.

The assumption that there is no effect or no
difference.

a)

Hypothesis Testing

b)

Null Hypothesis (H₀)

c)

Alternative Hypothesis (H₁ or Ha)

22.

The assumption that there is an effect
or difference.

a)

Hypothesis Testing

b)

Null Hypothesis (H₀)

c)

Alternative Hypothesis (H₁ or Ha)

23.

The probability of obtaining the observed result if the null
hypothesis is true.

a)

p-value

b)

Confidence Interval

c)

Significance Level (α)

24.

A range of values that is likely to contain the
population parameter

a)

p-value

b)

Confidence Interval

c)

Significance Level (α)

25.

The threshold for rejecting the null hypothesis
(often 0.05)

a)

p-value

b)

Confidence Interval

c)

Significance Level (α)

26.

A measure of the relationship between two variables.

a)

Correlation

b)

Correlation Coefficient (r)

c)

Regression Analysis

d)

Linear Regression

27.

A value between -1 and 1 that indicates the
strength and direction of a relationship

a)

Correlation

b)

Correlation Coefficient (r)

c)

Regression Analysis

d)

Linear Regression

28.

A method for modeling relationships between
variables

a)

Correlation

b)

Correlation Coefficient (r)

c)

Regression Analysis

d)

Linear Regression

29.

A model that describes the relationship between two
variables using a straight line.

a)

Correlation

b)

Correlation Coefficient (r)

c)

Regression Analysis

d)

Linear Regression

30.

A systematic error in data collection or analysis

a)

Bias

b)

Sampling Error

c)

Outlier

d)

Degrees of Freedom

31.

The difference between a sample statistic and the true
population parameter.

a)

Bias

b)

Sampling Error

c)

Outlier

d)

Degrees of Freedom

32.

A data point that is significantly different from others in the
dataset

a)

Bias

b)

Sampling Error

c)

Outlier

d)

Degrees of Freedom

33.

The number of values in a calculation that are free to
vary.

a)

Bias

b)

Sampling Error

c)

Outlier

d)

Degrees of Freedom