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Statistics Definitions after 3 days

Total questions: 24

Worksheet time: 48mins

Name
Class
Date
1.

Collection, presentation, and description of sample data.

a)

Descriptive Statistics

b)

Inferential Statistics

c)

Qualitative Variable

d)

Quantitative Variable

2.

Making decisions and drawing conclusions about populations.

a)

Descriptive Statistics

b)

Inferential Statistics

c)

Qualitative Variable

d)

Quantitative Variable

3.

A characteristic about each individual element of a population or sample.

a)

Variable

b)

Statistic

c)

Sample

d)

Population

4.

A quantitative variable that can assume a countable number of values.

a)

Nominal Variable

b)

Ordinal Variable

c)

Discrete Variable

d)

Continuous Variable

5.

The school principal wants to know if students like the school mascot. She asks 120 students throughout the day. Which of these is the sample?

a)

120 students

b)

All the students that like the mascot

c)

All the students that do not like the mascot

d)

All the students in the school

6.

Mark is better than any other player than any other player

a)

Inferential

b)

Descriptive

7.

According to the 2016 Census the population of Hartsville, SC was 7,768.

a)

Inferential

b)

Descriptive

8.

An algebra teacher at the local community college will only pass 5 students this semester because they were in a bad mood.

a)

Descriptive

b)

Inferential

9.

There is a chance that by the year 2040 that the human growth rate will hit an all time low.

a)

Descriptive

b)

Inferential

10.

From a past study from the American Dental Association it was found that 92% of Adults age 20-65 have suffered from at least one cavity.

a)

Descriptive

b)

Inferential

11.

The American Dental association concluded from a past survey of senior citizen in the U.S., that they average 3.28 decayed teeth.

a)

Descriptive

b)

Inferential

12.
The time it takes you to drive to school.
a)
Continuous
b)
Discrete
13.
The number of books in your locker.
a)
Continuous
b)
Discrete
14.
The time it takes for a light bulb to burn out.
a)
Continuous
b)
Discrete
15.
Adam earns $10 for each car he washes.
a)
Discrete
b)
Continuous
16.
Mrs. Trahan samples her class by selecting 5 girls and 7 boys.  This type of sampling is called?
a)
Stratified
b)
Systematic
c)
Simple
d)
Cluster
17.
Mrs. Trahan samples her class by selecting every third person on her class list.  Which type of sampling method is this?
a)
Simple
b)
Systematic
c)
Stratified
d)
Cluster
18.
Mrs. Trahan samples her class by selecting all students sitting at group 1 and group 5 in her classroom.  This sampling technique is called?
a)
Simple
b)
Stratified
c)
Systematic
d)
Cluster
19.
Mrs. Trahan samples her class by picking 10 numbers from her hat and each number is assigned to a student. This is ______________ random sampling.
a)
Systematic
b)
Simple
c)
Stratified
d)
Cluster
20.
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.
a)
Simple
b)
Cluster
c)
Stratified
d)
Systematic
21.
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.  
a)
Simple
b)
Stratified
c)
Cluster
d)
Systematic
22.
True or False: all samples lead to a good prediction about an entire population.
a)
True
b)
False
23.

Using the table and the random digits given, what would be the result when sampling for 3 names?

10026 31079 32972 50814 02947

a)

Rosica, Bowman, Mulvaney

b)

Rosica, Bowman, Rosica

c)

Barrett, Bowman, Maceli

d)

Rosica, Bowman, Maceli,

24.

Match the following:

a)

Involves the division of a

population into smaller groups. Ideally, there is heterogeneity within each group. Data are collected from all observations in the selected group.

1.

Cluster Random Sample

b)

A non-probability sampling technique where the researcher selects units to be sampled based on their ease of sampling

2.

Convenience Sample

c)

A sample in which every group of a given size has an equal chance of being chosen.

3.

Simple Random Sample (SRS)

d)

The division of a population into separate groups based on similar characteristics. A simple random sample is selected within each group, and the selected units are combined to form the sample.

4.

Stratified Random Sample

e)

A method in which sample members from a population are selected according to a random starting point and a fixed, periodic interval.

5.

Systematic Random Sample