Start learning →

AP Statistics Sampling and Data — practice questions

Explore 23 free Sampling and Data questions in AP Statistics Statistics. Open each question or exercise to read its content, reference answers and available explanation.

Practise Sampling and Data with Quill →

Sampling and Data questions and exercises with answers

Showing questions 1–23 of 23.

Organizing and summarizing data is called:Read the answer and worked solution →Formal methods for drawing conclusions about a population from a sample are called:Read the answer and worked solution →A numerical characteristic of the whole population is called a:Read the answer and worked solution →Data that result from counting are called:Read the answer and worked solution →Data resulting from categorizing or describing attributes are called:Read the answer and worked solution →To be usable, a sample must contain the characteristics of the population, making it:Read the answer and worked solution →To choose a stratified sample you divide the population into groups called strata and then take:Read the answer and worked solution →To choose a cluster sample you divide the population into clusters and then:Read the answer and worked solution →To choose a systematic sample you pick a random starting point and then take:Read the answer and worked solution →Sampling with replacement is described as:Read the answer and worked solution →The ratio of how often a value occurs to the total number of outcomes is the:Read the answer and worked solution →In an experiment, the variable thought to cause the change is the:Read the answer and worked solution →Additional variables that can cloud a study are called:Read the answer and worked solution →A control group is set aside in an experiment specifically to counter:Read the answer and worked solution →A placebo is best described as a treatment that is:Read the answer and worked solution →A double-blind experiment is one in which the people kept unaware are:Read the answer and worked solution →Random assignment of experimental units to treatment groups is used to control:Read the answer and worked solution →When analysing data, the two kinds of error to watch for are nonsampling errors and:Read the answer and worked solution →Which sampling method is it?Read the answer and worked solution →Parameter or statistic?Read the answer and worked solution →Match each study termRead the answer and worked solution →True or false: collecting dataRead the answer and worked solution →Complete the data vocabularyRead the answer and worked solution →

Worked practice questions

Organizing and summarizing data is called:

  1. Descriptive statistics
  2. Inferential statistics
  3. Experimental design
  4. Random assignment
Show answer and solution

Correct answer: A. Descriptive statistics

1. Statistics divides into two broad activities. 2. The first describes the data actually in hand. 3. Organizing and summarizing data is called descriptive statistics. 4. The formal methods for drawing conclusions beyond the data are called inferential statistics. _Source: OpenStax Introductory Statistics 2e (CC BY 4.0), Ch 1 'Sampling and Data', sections 1.1-1.4_

Open this question →

Formal methods for drawing conclusions about a population from a sample are called:

  1. Experimental statistics
  2. Inferential statistics
  3. Descriptive statistics
  4. Qualitative statistics
Show answer and solution

Correct answer: B. Inferential statistics

1. Describing the sample is only half the job. 2. The other half reasons from the sample back to the population. 3. The formal methods for that are called inferential statistics. 4. Descriptive statistics stops at organizing and summarizing what was collected. _Source: OpenStax Introductory Statistics 2e (CC BY 4.0), Ch 1 'Sampling and Data', sections 1.1-1.4_

Open this question →

A numerical characteristic of the whole population is called a:

  1. A parameter
  2. A statistic
  3. A variable
  4. A data point
Show answer and solution

Correct answer: A. A parameter

1. Numbers about the population and numbers about the sample get different names. 2. A parameter is a numerical characteristic of the whole population that can be estimated by a statistic. 3. From the sample data, we can calculate a statistic. 4. The statistic is an estimate of a population parameter. _Source: OpenStax Introductory Statistics 2e (CC BY 4.0), Ch 1 'Sampling and Data', sections 1.1-1.4_

Open this question →

How to practise

  1. Choose a Sampling and Data question and try to work out your answer.
  2. Open the question to check the correct answer and read its worked solution.
  3. Continue in the app for bite-sized lessons, explanations and review with Quill. You can start without creating an account.

More Statistics topics

The F Distribution and One-Way ANOVAContinuous Random VariablesDescriptive StatisticsHypothesis TestingLinear Regression and CorrelationThe Normal DistributionProbability TopicsThe Chi-Square Distribution