Basic Statistics Vocabulary Review

What is the mean of the following set of numbers: 5, 7, 9, 12, 15?

• 9.6

• 11.2

• 8.5

• 10

Find the median of the following set of numbers: 3, 5, 7, 9, 11, 13, 15.

• 13

• 5

• 7

• 9

In the set of numbers: 2, 3, 5, 5, 7, 8, 9, 10, what is the mode?

• 5

• 8

• 3

• 10

Calculate the range of the following set of numbers: 10, 15, 20, 25, 30.

• 20

• 15

• 5

• 25

Define 'parameter' in the context of statistics.

• Characteristic or measure obtained by using all the data in a population

• The average of a set of numbers

• A value calculated from a sample of data

• The range of values in a dataset

Explain the difference between a sample and a population in statistics.

• A sample is larger than a population

• A sample and a population are the same thing

• A population is a subset of a sample

• A sample is a subset of the population, while a population includes all members of a specified group.

What is an outlier in a data set?

• An outlier is a data point that is irrelevant to the data set.

• An outlier is a data point that differs significantly from other observations in the same data set.

• An outlier is a data point that is exactly in the middle of the data set.

• An outlier is a data point that is the average of all the other data points.

What does it mean to overgeneralize in statistics?

• Drawing conclusions about a population based on a sample that is too small or not representative

• Drawing conclusions about a population based on accurate and reliable data

• Drawing conclusions about a population based on a large and representative sample

• Drawing conclusions about a population based on a sample that is too small or not representative

How does bias affect the results of a statistical study?

• Bias always leads to accurate results

• Bias only affects the sample size

• Bias can lead to inaccurate or skewed results

• Bias has no impact on the results

In a survey, what are some ways to minimize bias in the sample selection process?

• Using convenience sampling

• Random sampling, stratified sampling, and ensuring a representative sample

• Selecting only participants from a single demographic

• Ignoring the population characteristics