Introduction to Statistics Vocabulary

What is the definition of mean in statistics?

• The mean is the highest number in a set of data.

• The mean in statistics is the average of a set of numbers.

• The mean is the sum of all numbers in a set of data.

• The mean is the middle number in a set of data.

Define median in statistics.

• The median is the highest value in a dataset

• The median is the value that occurs most frequently in a dataset

• The median is the sum of all values in a dataset divided by the number of values

• The median in statistics is the middle value of a dataset when it is ordered from least to greatest. If there is an even number of values, the median is the average of the two middle values.

Explain the concept of mode in statistics.

• The mode is the value that occurs most frequently in a dataset.

• The mode is the middle value in a dataset.

• The mode is the value that occurs least frequently in a dataset.

• The mode is the average of all values in a dataset.

What is the range in statistics?

• The range is the sum of all values in a dataset

• The range in statistics is the difference between the maximum and minimum values in a dataset.

• The range is the average of all values in a dataset

• The range is the mode of all values in a dataset

Define standard deviation in statistics.

• Standard deviation is calculated by dividing the sum of values by the number of values

• Standard deviation is the same as variance

• Standard deviation measures the central tendency of a dataset

• Standard deviation is a measure of the dispersion of a set of values from its mean.

What is the difference between population and sample in statistics?

• Population and sample are interchangeable terms in statistics.

• Sample is the entire group being studied, while population is a subset.

• Population is a smaller group than the sample.

• Population is the entire group being studied, while a sample is a subset of the population.

Explain the term 'probability' in statistics.

• Probability in statistics is a measure of the likelihood of a specific outcome occurring, expressed as a number between 0 and 1.

• Probability is calculated by adding all possible outcomes

• Probability in statistics is always a whole number

• Probability is a measure of the certainty of an outcome

Define 'normal distribution' in statistics.

• A normal distribution is a linear distribution with no variation in data points.

• A normal distribution is a distribution where the mean is always higher than the mode.

• A normal distribution is a distribution where the data points are evenly spaced.

• A normal distribution in statistics is a bell-shaped probability distribution where the mean, median, and mode are equal, and it follows the empirical rule.

What is the significance of a confidence interval in statistics?

• A confidence interval is used to determine the exact value of a statistic.

• A confidence interval is irrelevant in statistical analysis.

• A confidence interval gives an estimate of how much uncertainty there is with any particular statistic.

• A confidence interval is only applicable in qualitative research.

Explain the concept of hypothesis testing in statistics.

• Hypothesis testing is a method used to predict future outcomes with certainty.

• Hypothesis testing is only applicable to small sample sizes.

• Hypothesis testing is a statistical method used to make inferences about a population parameter based on sample data.

• Hypothesis testing involves guessing the population parameter without any data.