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1.1 Intro to Statistics Vocabulary

Total questions: 42

Worksheet time: 45mins

Name
Class
Date
1.

What is the (short) definition of data?

a)

The vertical (up and down) line on a graph

b)

Facts gathered through observation or experiment.

c)

To figure out the meaning of data.

d)

A way to show different parts of a whole.(%)

2.

Statistics is the science of...(choose all that apply)

a)

planning studies and experiments, and obtaining data.

b)

confusing people with numbers.

c)

organizing, summarizing, presenting, analyzing and interpreting data, and drawing conclusions from them.

d)

manipulating data collected from a selected group of individuals to present information that support your personal agenda.

3.
A part of the population.
a)
biased sample
b)
population
c)
random sample
d)
sample
4.
The entire group of objects or individuals considered for a survey.
a)
biased sample
b)
population
c)
random sample
d)
sample
5.
A sample that does not fairly represent the population.
a)
population
b)
biased sample
c)
random sample
d)
sample
6.
A sample in which each individual or object in the entire population has an equal chance of being selected.
a)
biased sample
b)
population
c)
random sample
d)
sample
7.

The numeric measurement that describes some characteristic of a population is a

a)

parameter

b)

statistic

c)

sample

d)

census

8.

The numeric measurement that describes some characteristic of a sample is a

a)

parameter

b)

statistic

c)

sample

d)

census

9.

___________ consists of numbers representing counts or measurements.

a)

Mathematical data

b)

Categorical data

c)

Quantitative data

d)

Population data

10.

___________ consists of names or labels that are not numbers representing counts or measurements.

a)

Variable data

b)

Categorical data

c)

Quantitative data

d)

Population data

11.

Which type of data are the result when the data values are quantitative and the number of values is finite or "countable"?

a)

Measurable data

b)

Discrete data

c)

Countable data

d)

Continuous data

12.
Is the following qualitative or quantitative data?
Favorite foods of statistics class.
a)
Qualitative
b)
Quantitative
13.

Determine the level of measurement

Weight of fish caught on the Broadkill.

a)

Nominal

b)

Ordinal

c)

Interval

d)

Ratio

14.

Determine the level of measurement

Temperature in Fahrenheit of patients at the doctor's office.

a)

Nominal

b)

Ordinal

c)

Interval

d)

Ratio

15.
Determine the level of measurement
List of popular video games
a)
Nominal
b)
Ordinal
c)
Interval
d)
Ratio
16.
Determine the level of measurement
Height of students in inches
a)
Nominal
b)
Ordinal
c)
Interval
d)
Ratio
17.
Of observational studies, surveys, and experiments, random sampling is only important in experiments.
a)
True
b)
False
18.
Is diet or exercise effective in combating insomnia? Some believe that cutting out desserts can help alleviate the problem, while others recommend exercise. Forty volunteers suffering from insomnia agreed to participate in a month-long experiment. Half were randomly assigned to a special no-desserts diet; the others continued desserts as usual. Half of the people in each of these groups were randomly assigned to an exercise program, while the others did not exercise. Those who ate no desserts and engaged in exercise showed the most improvement. 
a)
Observational Study
b)
Experiment
19.
Researchers have linked an increase in the incidence of breast cancer in Italy to dioxin released by an industrial accident in 1976. The study identified 981 women who lived near the site of the industrial explosion and were under age 40 at the time. Fifteen of the women had developed breast cancer, at an unusually young average age of 45. Medical records showed that these women had heightened concentrations of dioxin in their blood, and that each 10-fold increase in dioxin level was associated with a doubling of the risk of breast cancer. (Science News, Aug. 3, 2002)
a)
Observational Study
b)
Experiment
20.
To find out what the preferred ice cream flavor is, wait outside an ice cream parlor and ask every 4th person leaving the store to name his or her favorite flavor until you get 25 responses is an example of...
a)
Convenience Sample
b)
Simple Random Sample
c)
Stratified Random Sample
d)
Systematic Sample
21.
To study the amount of time students spend doing homework each day, use a random number generator to select 25 students from the student enrollment database to survey.
a)
Convenience Sample
b)
Simple Random Sample
c)
Stratified Random Sample
d)
Interval Sample
22.
An experiment is performed on plants to see how different liquids affect plant growth. Each plant in the experiment is given a different liquid; water, apple juice, or milk. Each plant has the same amount of soil. In this investigation, sunlight would be a(n) ...
a)
lurking variable
b)
explanatory variable
c)
response variable
d)
none of these
23.
Which of the following is not true about a simple random sample?
a)
Every member of the population has an equal chance of being selected
b)
Every subset of a population has an equal chance of being selected
c)
The population should be put in numerical order before selecting the sample
d)
the population should be divided into groups based on similar characteristics before selecting the sample
24.
A prospective study; observes participants in the present and future.
a)
True
b)
False
25.
A retrospective study, using data from the _________.
a)
past
b)
future
26.
Source of bias that occurs when an individual chosen for the sample CAN'T be contacted or refuses to cooperate.
a)
Response Bias
b)
Undercoverage
c)
Nonresponse
d)
Voluntary Response
27.
Source of bias in which people CHOOSE to respond and usually only people with very strong opinions respond
a)
Response Bias
b)
Undercoverage
c)
Convenience Sampling
d)
Voluntary Response
28.
Sam tested every 50th candy bar from the assembly line to make sure there were enough peanuts in each bar.  He found 15% did not have enough peanuts.  Which type of sampling did he use?
a)
Cluster
b)
Systematic
c)
Convenience
d)
Simple Random
29.
The teacher samples her class by randomly selecting 5 girls and then randomly selecting 7 boys.  This type of sampling is called?
a)
Stratified
b)
Systematic
c)
SRS
d)
Cluster
30.
The teacher samples her class by selecting all students sitting at table 1 and table 5 in her classroom.  This sampling technique is called?
a)
SRS
b)
Stratified
c)
Systematic
d)
Cluster
31.
The teacher samples her class by picking 10 names from slips of paper in a hat.
a)
Systematic
b)
SRS
c)
Stratified
d)
Cluster
32.
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)
SRS
b)
Cluster
c)
Stratified
d)
Systematic
33.
Source of bias that occurs when you ask people who are EASY to ask
a)
Response Bias
b)
Convenience Sampling
c)
Nonresponse
d)
Voluntary Response
34.
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)
SRS
b)
Stratified
c)
Cluster
d)
Systematic
35.
Farmer Joe randomly picks 25 trees using a random number generator to estimate the number of apples per tree. 
a)
SRS
b)
Stratified
c)
Cluster
d)
Systematic
36.
Farmer Joe separates his farm into 10 regions.  He then randomly selected 5 trees from each region to estimate the number of apples produced on his apple tree farm.  This is _____________ sampling.  
a)
Cluster
b)
Systematic
c)
Stratified
d)
SRS
37.
The school librarian wants to determine how many students use the library on a regular basis.  What type of sampling method would she use if she chose to use a random number generator to randomly select 50 students from the school's attendance roster.
a)
Convenience Sample
b)
Simple Random Sample
c)
Stratified Random Sample
d)
Interval Sample
38.
Sampling method based upon LOCATION and you randomly pick a location and sample all there
a)
Stratified Sampling
b)
Simple Random Sampling (SRS)
c)
Cluster Sampling
d)
Systematic Sampling
39.
In an experiment, a variable other than the independent variable, that could produce a change in the dependent variable.
a)
Blind Procedure
b)
Double Blind Procedure
c)
Confounding Variables
d)
Correlation Study
40.

Error which occurs when there is a discrepancy between a sample result and the true population result, in spite of the random sampling method used.

a)

Nonsampling error

b)

Margin of error

c)

Sampling error

d)

Processing error

41.
Sampling error not related to the act of selecting a sample from the population.
a)
Nonsampling error
b)
Processing error
c)
Random sampling error
d)
Response error
42.
Deviation between the sample statistic and population parameter caused by chance in selecting a random sample.
a)
Nonresponse error
b)
Processing error
c)
Nonsampling error
d)
Random sampling error