A collection of data from every individual in the population

randomized comparative experiment

Different conditions assigned to experimental units.

A collection of experimental units either not given a treatment of interest or given a treatment with an inactive substance

A treatment with an inactive substance

The complete set group of individuals

The individuals (which may be people or other objects of study) that are assigned treatments.

A variable that is related to the explanatory variable and influences the response variable and may create a false perception of association between the two.

A variable whose values are used to explain or predict corresponding values for the response variable.

A variable whose values are explained or predicted by the explanatory variable

When you consider two or more things and discover the differences between them.

Reducing potential confounding variables where appropriate

If every possible sample has equal probability of selection.

More than one experimental unit in each treatment group

A researcher wishes to compare the effects of two fertilizers on the yield of soybeans. She has 20 plots of land available for the experiment, and she decides to use a matched pairs design with 10 pairs of plots. To carry out the random assignment for this design, the researcher should

subjectively divide the 20 plots into 10 pairs (making the plots within a pair as similar as possible) and then, for each pair, flip a coin to assign the fertilizers to the 2 plots.

use a table of random numbers to divide the 20 plots into 10 pairs and then, for each pair, flip a coin to assign the fertilizers to the 2 plots.

use a table of random numbers to divide the 20 plots into 10 pairs and then use the table of random numbers a second time to decide on the fertilizer to be applied to each member of the pair.

flip a coin to divide the 20 plots into 10 pairs and then, for each pair, use a table of random numbers to assign the fertilizers to the 2 plots.

Intro to Experimental Design Vocabulary

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Intro to Experimental Design Vocabulary

Quiz

•

Mathematics

•

9th - 12th Grade

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Practice Problem

•

Hard

•

CCSS

HSS.IC.B.3, 7.SP.A.1, 8.SP.A.4

Standards-aligned

Torre Mills

Used 1+ times

FREE Resource

46 questions

Show all answers

MULTIPLE CHOICE QUESTION

10 sec • 1 pt

This is what happens when an individual chosen for the sample can't be contacted or refuses to participate.

bias

censoring

nonresponse

voluntary response

Tags

CCSS.HSS.IC.B.3

MULTIPLE CHOICE QUESTION

10 sec • 1 pt

Selecting individuals from a population who are easy to reach.

Sample Survey

Convenience Sampling

Simple Random Sampling

Census

Tags

CCSS.7.SP.A.1

CCSS.HSS.IC.A.1

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

In statistics, this is a variable that is manipulated and may cause a change in the response variable.

factor

level

placebo

treatment

Tags

CCSS.HSS.IC.B.3

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

This occurs when there is a systematic pattern of inaccurate answers to a survey question

nonresponse

confounding

response bias

placebo effect

Tags

CCSS.HSS.IC.B.3

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

A group of individuals in the population that are located near each other.

cluster

sample

population

strata

Tags

CCSS.HSS.IC.B.3

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

The entire group of individuals we want information about.

population

sample

census

strata

Tags

CCSS.7.SP.A.1

CCSS.HSS.IC.A.1

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

A treatment that has no active ingredient, but is otherwise like other treatments.

observational study

factor

experiment

placebo

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Intro to Experimental Design Vocabulary

46 questions

This is what happens when an individual chosen for the sample can't be contacted or refuses to participate.

Selecting individuals from a population who are easy to reach.

In statistics, this is a variable that is manipulated and may cause a change in the response variable.

This occurs when there is a systematic pattern of inaccurate answers to a survey question

A group of individuals in the population that are located near each other.

The entire group of individuals we want information about.

A treatment that has no active ingredient, but is otherwise like other treatments.

Measusres the outcome of a study.

This deliberately imposes some treatment on individuals to measure their responses.

This is what happens when two variables are associated in such a way that it is not possible to distinguish between their effects on the response variable.

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