Chapter 1 Quiz Flashcards
(30 cards)
A characteristic of interest for the elements is called an:
a. sample
b.variable
c. data set
d. observation
Variable
All the date in a particular study are referred to as the
a. census
b, interference
c. variable
d. data set
Data set
Categorical data
a. are always numeric
b. are always nonnumeric
c. indicate either how much or how many
d. may be either numeric or non numeric
d. May be numeric or nonnumeric
In a recent study based upon an inspection of 200 homes in Daisy city, 120 were found to violate one or more city codes.
The city manager released a statement that 60% of Daisy city’s 3000 homes are in violation of city codes.
The manager’s statement is an example of
a. an experiment
b. a census
c. statistical interference
d. decriptive statistics
Statistical interference
In a recent study based upon an inspection ot 200 homes Daisy City, 120 were found to violate one or more city codes.
The Daisy city study described above is an example of the use of a
a. probability
b. sample
c. census
d. population
Sample
In a recent study based upon an inspection of 200 homes in Daisy city, 120 homes were found to violate one or more city codes.
The manager’s statement that 60% of Daisy city’s 3000 homes the in violation of city codes is
a. an exactly correct statement
b. None fo the other answers are correct
c. only an approximation, since it is based upon sample information
d. obviously wrong, since it is based upon a studey of only 200 homes
Only an approximation, since it is based upon sample information
In a sample of 800 students in a university, 160 or 20% are business majors. Based on the above information, the school’s paper reported that “20%”, of all the students at the university de buißness majors” this report is an example of
a. descriptive statistics
b. a population
c. statistical interference
d. a sample
Statistical inference
Income is an example of
a. currency data
b. categorical data
c. quantitiative data
d. either categorical or quantitative data
Quantitative data
Temperature is an example of
a. neither a quantitative nor categorical variable
b. either a quantitative or categorical variable
c. a categorical variable
d. a quantitative variable
A quantitative variable
The process of analyzing sample data in order to draw conclusions about the characteristics of a population is called:
a. descriptive statistics
b. data analysis
c. data summarization
d. statistical inference
Statistical inference
Which of the following is an example of categorical data?
a. social security number
b. number or square feet of carpet
c. height, in meterm of a diving board
d. score on a mc exam
A social security number
Which of the following is an example of quantitative data
a. the part number of an inventory item
b. the serial number on a one dollar bill
c. the number of people watiing in line
d. the players number on a uniform
The number of people in a waiting line
Which of the following variables use the interval scale of measurement?
a. SAT scores
b. time
c. name of stock exchange
d. Social security number
SAT Scores
Which of the following variables use the RATIO scale of measurement
a. name of stock exchange
b. sat scores
c. time
d, social number
TIME
A graphical method that can be used to show both the rank order and shape of a data set simultaneously is a
a. pie chart
b. pivot table
c. relative frequency distribution
d. stem and leaf display
Stem-and-leaf Display
A graphical presentation of a frequency distribution, relative frequency distribution, or percent frequency of quantitative data constructed by placing the lass intervals on the horizontal axis & the frequencies on the vertical axis is a
a. histogram
b. pie chart
c. stem and leaf display
d. bar chart
Histogram
A tubular summary of a set of data showing the fraction of the total number of items in several nonoverlapping classes is a
a. frequency distribution
b. cumulative frequency distribution
c. relative frequency distribution
d. frequency
Relative frequency distribution
Before drawing any conclusions about the relationship between two variables shown in a crosstabulation, you should
a. investigate whether any hidden variables could affect the conclusions
b. develop a relaative frequency distribution
c. construct an ogive for each of the variables
d. constuct a scatter diagram and find the trendline
Investigate whether any hidden variables could affect the conclusions
The number of hourse worked on (per week) by 400 statistic students are shown below
The midpoint of the last class is:
a. 34.5
b. 35
c. 34
d. 50
34.5
The numbers of hours worked (per week) by 400 statistic students are shown below
The number of students working 19 hours or less:
a. is 300
b. is 180
c. is 100
d. is 80
is 100
The numbers or hours worked (per week) by 400 statistics students are shown below
The relative frequency of students working 9 hours or less:
a. is 100
b. is 0.95
c. is 20
d. is 0.05
0.05
The numbers of hours worked (per week) by 4– statistics students are shown below
The cumulative relative frequenct for the class of 20-29:
a. is 0.5
b. is 300
c. 0.75
d. is 0.25
Is 0.75
The number of hours worked (per week) by 400 statistic students are shown below
The percentage of students working 19 hours or less is
a. 80%
b. 20%
c. 25%
d. 75%
25%
The number of hours worked (per week) by 400 statistics students are shown below
The cumulative percent frequency for the class of 30-39
a. 50%
b.75%
c. 25%
d. 100%
100%
