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Stats - Ch 1 & 2 Vocab

Total questions: 87

Worksheet time: 57mins

Name
Class
Date
1.
_________ consists of methods for organizing and summarizing information
a)
Descriptive Statistics
b)
Inferential Statistics
c)
Objective Statistics
2.
_________ consists of methods for drawing and measuring the reliability of conclusions about a population based on information obtained from a sample of the population.
a)
Descriptive Statistics
b)
Inferential Statistics
c)
Analyzing Statistics
d)
Objective Statistics
3.
_________ are observations that have been collected
a)
Data
b)
Statistics
c)
Population
d)
Sample
4.
_________ are a collection of methods for planning studies and experiments, obtaining data, and then organizing, summarizing, presenting, analyzing, interpreting, and drawing conclusions based on the data.
a)
Data
b)
Statistics
c)
Population
d)
Sample
5.

_________ is the collection of ALL individuals or items under consideration in a statistical study.

a)
Data
b)
Population
c)
Census
d)
Sample
6.

_________ is the collection of data from EVERY member of a population.

a)
Data
b)
Population
c)
Census
d)
Sample
7.

_________ is that PART of the population from which information is obtained.

a)
Data
b)
Population
c)
Census
d)
Sample
8.

_________ is a numerical measurement describing some characteristic of a POPULATION.

a)
Statistic
b)
Parameter
c)
Data
d)
Sample
9.

_________ is a numerical measurement describing some characteristic of a SAMPLE.

a)
Statistic
b)
Parameter
c)
Data
d)
Population
10.
_________ is numbers representing counts or measurements
a)
Statistic
b)
Parameter
c)
Quantative Data
d)
Qualitative Data
11.
_________ consists of names or labels.
a)
Statistic
b)
Parameter
c)
Quantative Data
d)
Qualitative Data
12.
_________ is characterized by data that consists of names, labels or categories only. The data cannot be arranged in a meaningful ordering scheme.
a)
Nominal
b)
Ordinal
c)
Interval
d)
Ratio
13.
_________ involves data that can be arranged in some order, but differences between data values either cannot be determined or are meaningless.
a)
Nominal
b)
Ordinal
c)
Interval
d)
Ratio
14.

_________ involves data that can be arranged in some order, the difference between any two data values is meaningful, and there exists a natural zero starting point.

a)

Nominal

b)

Ordinal

c)

Interval

d)

Ratio

15.

_________ involves data that can be arranged in some order, but with the additional property that the difference between any two data values is meaningful. However, there is no natural zero starting point.

a)

Nominal

b)

Ordinal

c)

Interval

d)

Ratio

16.
_________ is a study that observes and measures specific characteristics without any attempt to modify the subjects being studied.
a)
Observational Study
b)
Experiment
c)
Cross-Sectional Study
d)
Retrospective Study
e)
Prospective Study
17.
_________ is a study that applies some treatment to subjects and then observes its effect on the subjects.
a)
Observational Study
b)
Experiment
c)
Cross-Sectional Study
d)
Retrospective Study
e)
Prospective Study
18.
_________ is when members of the population are selected in such a way that each indidual member has an equal chance of being selected.
a)
Random Sampling
b)
Systematic Sampling
c)
Stratified Sampling
d)
Cluster Sampling
e)
Convience Sampling
19.
_________ is when a starting point is randomly selected and then every kth element in the population is selected.
a)
Random Sampling
b)
Systematic Sampling
c)
Stratified Sampling
d)
Cluster Sampling
e)
Convience Sampling
20.
_________ is when the population is subdivided into at least two different subgroups that share the same characteristics, then draw a sample from each subgroup.
a)
Random Sampling
b)
Systematic Sampling
c)
Stratified Sampling
d)
Cluster Sampling
e)
Convience Sampling
21.
_________ is when the population is subdivided into at least two different subgroups then some subgroups are randomly selected and all members are chosen.
a)
Random Sampling
b)
Systematic Sampling
c)
Stratified Sampling
d)
Cluster Sampling
e)
Convience Sampling
22.
_________ is when the reseacher uses elements of the population that are the easiest to get.
a)
Random Sampling
b)
Systematic Sampling
c)
Stratified Sampling
d)
Cluster Sampling
e)
Convience Sampling
23.
_________ occurs when error results from chance statistical variations, and is an expected part of any statistical study.
a)
Sampling Error
b)
Non-Sampling Error
24.
_________ occurs when data are incorrectly collected, recorded, or analyzed.
a)
Sampling Error
b)
Non-Sampling Error
25.

Military Rank

a)

Nominal

b)

Oridinal

c)

Interval

d)

Ratio

26.

Crime rate

a)

Nominal

b)

Ordinal

c)

Interval

d)

Ratio

27.

Temperature reading in baking

a)

Nominal

b)

Ordinal

c)

Interval

d)

Ratio

28.

Color of the student's nail polish in statistics class.

a)

Nominal

b)

Ordinal

c)

Interval

d)

Ratio

29.

The birth order

a)

Nominal

b)

Ordinal

c)

Interval

d)

Ratio

30.

Height of the buildings

a)

Nominal

b)

Ordinal

c)

Interval

d)

Ratio

31.

Car brand

a)

Nominal

b)

Ordinal

c)

Interval

d)

Ratio

32.

_________ involves data that can be arranged in some order, but with the additional property that the difference between any two data values is meaningful with a true zero starting point.

a)

Nominal

b)

Ordinal

c)

Interval

d)

Ratio

33.

Which is an example of a random sample?

a)

Polling the first 10 people who enter a room

b)

Asking a survey question to people who call in

c)

Drawing 10 names from a hat

34.

Why should samples be randomly selected?

a)

for control

b)

to reduce bias

c)

so we don't get the same answers from everyone

35.

a method to model random events

a)

simulation

b)

random number generator

c)

experiment

d)

census

36.

a numerical facsimile or representation of a real-world phenomenon.

a)

simulation

b)

random number generator

c)

experiment

d)

census

37.

results from OMITTING population members from the sample frame

a)

placebo

b)

outlier

c)

undercoverage

d)

sampling frame

38.

a list of individuals from which a sample is actually selected

a)

census

b)

population

c)

undercoverage

d)

sampling frame

39.

people or objects included in a study

a)

block

b)

control

c)

individuals

d)

variables

40.

a characteristic of the individual to be measured or observed

a)

statistic

b)

placebo

c)

sampling

d)

variable

41.

Use a variety of sampling methods to create successively smaller groups at each stage.

a)

cluster sampling

b)

randomization

c)

replication

d)

multistage sampling

42.

occurs when a subject receives no treatment but(incorrectly) believes he or she is in fact receiving treatment and responds favorably.

a)

Placebo Effect

b)

Faker

c)

Bias

d)

Lurking Variable

43.

a group of individuals sharing some common features that might affect treatment

a)

Block

b)

Convenience Sample

c)

Control group

d)

Stratified Group

44.

neither the individuals in the study nor the observers know which subjects are receiving the treatment.

a)

Placebo Effect

b)

Double Blind Experiement

c)

Observational Study

d)

Randomization

45.

used to assign individuals to the two treatment groups.. to help prevent bias.

a)

Replication

b)

Double Blind Experiement

c)

Observational Study

d)

Randomization

46.

a group that is used to account for influence of other known or unknown variables.

a)

Block

b)

Convenience Sample

c)

Control group

d)

Stratified Group

47.

a process to obtain info about your individuals by asking various ?s

a)

survey

b)

sample

c)

statistic

d)

randomization

48.

a type of variable is one for which no data have been collected but that nevertheless has an influence on other variables in the study.

a)

Confounding Variable

b)

Lurking Variable

49.

when the effects of one variable cannot be distinguished from the effects of the other

a)

Confounding Variable

b)

Lurking Variable

50.

Graphics should NOT ...

a)

display accurate & honest data

b)

distort the data

c)

allow viewers to think about substance

d)

be colorful

51.

________is a method of exploratory data analysis that is used to rank-order and arrange data into groups.

a)

histogram

b)

stem and leaf

c)

bar graph

d)

circle graph

52.

Uses tally marks in groups of 5

a)

histogram

b)

stem and leaf

c)

ogive

d)

frequency table

53.

_______breaks the digits of each data value into two parts

a)

histogram

b)

stem and leaf

c)

ogive

d)

frequency table

54.

What is something a bar graph does NOT need?

a)

TItle & Labels

b)

Key/Legend

c)

Appropriate scale

d)

Percentages

55.

To make sure the scale is consistent we might use the ___ to skip some numbers at the start of an axis.

a)

skipper scale squiggle

b)

Jump Scale zig zag

c)

Jump scale squiggle

d)

Zig Zag mark

56.

Uses bars that touch

a)

bar graph

b)

pareto chart

c)

frequency table

d)

histogram

57.

A visual display proportional parts of the total population that share a common characteristic.

a)

pie chart

b)

pareto chart

c)

ogive

d)

time series chart

58.

data are plotted in order of occurrence

a)

pie chart

b)

pareto chart

c)

time series chart

d)

ogive

59.

data consist of measurements of the same variable for the same subject taken at regular intervals over a period of time.

a)

pie chart

b)

pareto chart

c)

ogive

d)

time series chart

60.

Used to identify the frequency of events or categories in decreasing order of frequency of occurrence.

a)

pareto

b)

ogive

c)

pie chart

d)

time series chart

61.

Used to organize large sets of quantitative data into smaller intervals or classes

a)

circle graph

b)

ogive chart

c)

time series chart

d)

frequency table

62.

puts data into classes or intervals

a)

circle graph

b)

ogive chart

c)

pareto chart

d)

frequency table

63.

difference between two consecutive class' lower limits

a)

class boundaries

b)

class width

c)

class midpoint

d)

class frequency

64.

(Largest-Smallest) divided by # of classes

a)

class limits

b)

class width

c)

class frequency

d)

class boundaries

65.

1st lower class limit + class width

a)

class boundaries

b)

class range

c)

class midpoint

d)

upper class limit

66.

Always round up

a)

class boundary

b)

class width

c)

class midpoint

d)

class range

67.

add & subtract 0.5 to the class limit to get this

a)

class boundary

b)

class width

c)

class midpoint

d)

class range

68.

The center of EACH class...often used as a representative value of the entire class

a)

class boundary

b)

class width

c)

class midpoint

d)

class range

69.

(lower limit + upper limit)/2

a)

class boundary

b)

class width

c)

class midpoint

d)

class range

70.

class frequency/ total frequencies

a)

relative frequency

b)

cumulative frequency

c)

class midpoint

d)

class range

71.

the sum of the frequencies for that class and all previous classes.

a)

relative frequency

b)

cumulative frequency

c)

class average

d)

class range

72.

Ogive

a)

A graph that displays the largest to smallest

b)

a graph that displays cumulative frequencies

c)

Used to show a relationship between a sample and a population

d)

Used to display proportional parts of the total population

73.

Histogram

a)

A graph that displays the largest to smallest

b)

a graph that displays cumulative frequencies

c)

Used to show a relationship between a sample and a population

d)

Used to display proportional parts of the total population

74.

Pareto chart

a)

A graph that displays the largest to smallest

b)

a graph that displays cumulative frequencies

c)

Used to show a relationship between a sample and a population

d)

Used to display proportional parts of the total population

75.

Distribution type that has 2 distinct peaks separated by at least one class

a)

uniform

b)

bimodal

c)

mound

d)

skewed

76.

Distribution type that is equally distributed in all classes

a)

uniform

b)

bimodal

c)

mound

d)

skewed

77.

Distribution type that is shifted to one side of the graph

a)

uniform

b)

bimodal

c)

mound

d)

skewed

78.

data values that are very different from other measurements in the data set

a)

exception

b)

outlier

c)

nonconformist

d)

irregularity

79.

Stem & Leaf can show the distribution of the data

a)

True

b)

False

80.

The bars are arranged from left to right according to decreasing height on a bar graph

a)

True

b)

False

81.

On a histogram the y axis represents frequency

a)

True

b)

False

82.

360 degrees = 100%

a)

True

b)

False

83.

On a time series graph the y axis represents time

a)

True

b)

False

84.

The bars are arranged from left to right according to decreasing height on a pareto chart

a)

True

b)

False

85.

On a histogram, the bar length or height on a bar graph ALWAYS represents the frequency of an event.

a)

True

b)

False

86.

The classes or intervals are constructed so that each data value falls into exactly one class.

a)

True

b)

False

87.

if the sample is large enough, the distribution of the sample should be reasonably similar to the population's shape

a)

True

b)

False