1.3-1.4 Sampling Techniques and Bias

1.3-1.4 Sampling Techniques and Bias

11th - 12th Grade

•

49 Qs

quiz-placeholder

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1.3-1.4 Sampling Techniques and Bias

1.3-1.4 Sampling Techniques and Bias

Assessment

Quiz

•

Mathematics

•

11th - 12th Grade

•

Practice Problem

•

Medium

•
CCSS
HSS.IC.A.1, RI.9-10.4, RL.11-12.6

+11

Standards-aligned

Created by

Carly Lightbody

Used 18+ times

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49 questions

Show all answers

1.

MULTIPLE CHOICE QUESTION

1 min • 1 pt

Mrs. Trahan samples her class by selecting every third person on her class list.  Which type of sampling method is this?

Simple
Systematic
Stratified
Cluster

2.

MULTIPLE CHOICE QUESTION

1 min • 1 pt

Mrs. Trahan samples her class by selecting all students sitting at group 1 and group 5 in her classroom.  This sampling technique is called?

Simple
Stratified
Systematic
Cluster

3.

MULTIPLE CHOICE QUESTION

1 min • 1 pt

Mrs. Trahan samples her class by picking 10 numbers from her hat and each number is assigned to a student. This is ______________ random sampling.

Systematic
Simple
Stratified
Cluster

4.

MULTIPLE CHOICE QUESTION

1 min • 1 pt

Farmer Joe separates his apple tree farm into 10 regions.  He counts the number of apples produced in just one of the regions and uses that estimate to predict the number of apples produced on the whole farm.  This is _______ sampling.

Simple
Cluster
Stratified
Systematic

5.

MULTIPLE CHOICE QUESTION

1 min • 1 pt

Farmer Joe's apple tree farm is set up in 100 rows.  He counts the number of apples produced on every 10th row to estimate the number apples produced on the whole farm.  This is _____________ sampling.  

Simple
Stratified
Cluster
Systematic

6.

MULTIPLE CHOICE QUESTION

1 min • 12 pts

In order to use samples to estimate something from the population, the sample should be _________________ the population.

exactly the same as
nothing like
representative of
larger than

Tags

CCSS.HSS.IC.A.1

CCSS.HSS.IC.B.4

7.

MULTIPLE CHOICE QUESTION

1 min • 1 pt

If every individual in a population has the same chance of being included in a sample, the sample is a(n) _________ sample.

Biased Sample

Cluster

Simple Random

Stratified Sample

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