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WorksheetsStats 1st Semester Vocab Exam
Total questions: 185
Worksheet time: 2hrs 33mins
Name
Class
Date
1.
What is the area of variation between upper and lower limits on a particular scale?
a)
mean
b)
median
c)
mode
d)
range
2.
Subtracting EACH data number from the mean, squaring the answer, and then adding each final squared answer together.
a)
sample variance
b)
square of sums
c)
sum of squares
d)
resistant mean
3.
What is the name given to the lines that connect the lowest value to the Q1 value and the highest value to the Q3 value?
a)
Whisker
b)
Median
c)
Percentiles
d)
Interquartile Range
4.
A value that is extremely lower or higher than most of the other values in a set of data.
a)
Whisker
b)
Low # or high #`
c)
Outlier
d)
Oddity
5.
Finding the intervals from the mean... + or - 2 times the standard deviation ...+ or - 3 times the standard deviation...+ or -4 times the standard deviation.
a)
Coefficient of Variation
b)
Chebyshev's Theorem
c)
Standard Deviation
d)
Population Mean
6.
what is the relative position of data instead of exact values?
a)
Quartiles
b)
Median
c)
Percentiles
d)
Standard Deviation
7.
What is it called when the data is divided into fourths?
a)
Quartiles
b)
Median
c)
Percentiles
d)
Standard Deviation
8.
What tells us the spread of the middle half of the data?
a)
Quartiles
b)
Median
c)
Box & Whisker Plots
d)
Interquartile Range
9.
What is included in the 5 # summary?
a)
8675309
b)
lowest, q1, median, q3, highest
c)
lowest, q2, median, q4, greatest
d)
lowest, q1, middle, q2, highest
10.
How do we display our 5 # summary?
a)
Bar graph
b)
Histogram
c)
Frequency Chart
d)
Box-and-Whisker plot
11.
What is the definition of Σ?
a)
The sum of a total numbers
b)
The average of the date set
c)
(lowest-highest)=Σ
d)
Mr.Frakes mustache
12.
This measure of central tendancy assigns different importances to categories?
a)
The sum of a total numbers
b)
The average of the date set
c)
Weighted Averages
d)
Favoritism
13.
To take a % off the top and bottom
a)
Resistant mean
b)
Trimmed mean
c)
Weighted Averages
d)
Mean
14.
Not influenced by outliers
a)
Resistant mean
b)
Trimmed mean
c)
Weighted Averages
d)
Mean
15.
What is the summation symbol?
a)
$
b)
Σ
c)
μ
d)
x̄
16.
What is the symbol for sample mean?
a)
$
b)
Σ
c)
μ
d)
x̄
17.
What is the symbol for population mean?
a)
$
b)
Σ
c)
μ
d)
x̄
18.
What does N stand for?
a)
the total number of data in a population
b)
the total number of data in a sample
c)
the total number of data in a mean
d)
the total number of Ns in Mann's name
19.
What does n stand for?
a)
the total number of data in a population
b)
the total number of data in a sample
c)
the total number of data in a mean
d)
the total number of Ns in Mann's name
20.
The value that appears most frequently in a data set.
a)
median
b)
mean
c)
range
d)
mode
21.
What is the middle number in a sorted, ascending or descending list of numbers? (Hint: It starts with an M)
a)
median
b)
mean
c)
mode
d)
mann
22.
Helps measure the spread of the data around an expected value. It's symbolized by an "s"
a)
Sample Standard Deviation
b)
Sample Variance
c)
Population Standard Deviation
d)
Population Variance
23.
Used to calculate how each point in the data set relates to another. It's represented by s squaqred
a)
Sample Standard Deviation
b)
Sample Variance
c)
Population Standard Deviation
d)
Population Variance
24.
Expresses the standard deviation as a percentage of the sample or population mean.
a)
Chebyshev's Theorem
b)
Coeffiecent of Variation (CV)
c)
Weighted Average
d)
Sum of Squares
25.
The measure of central tendency that uses the exact value of each entry. To compute, we add the values of all the entries and then divide by the number of entries
a)
mean
b)
median
c)
mode
d)
CV
26.
Answer is written as a %
a)
Sample Coeffiecient Variation
b)
Sample Mean
c)
Sample Standard Deviation
d)
Population Standard Deviation
e)
Sample Variance
27.
Answer is written as a %
a)
Population Coefficient Variation
b)
Sample Mean
c)
Sample Standard Deviation
d)
Population Standard Deviation
e)
Sample Variance
28.
a)
Sample Standard Deviation
b)
Sample Mean
c)
Population Standard Deviation
d)
Sample Variance
e)
Population Variance
29.
a)
Population Standard Deviation
b)
Sample Mean
c)
Sample Standard Deviation
d)
Sample Variance
e)
Population Variance
30.
a)
Sample Variance
b)
Sample Mean
c)
Sample Standard Deviation
d)
Population Standard Deviation
e)
Population Variance
31.
a)
Population Variance
b)
Sample Mean
c)
Sample Standard Deviation
d)
Population Standard Deviation
e)
Sample Variance
32.
a)
Chebyshev's Theorem
b)
Sample Mean
c)
Sample Standard Deviation
d)
Population Standard Deviation
e)
Sample Variance
33.
Probability
a)
Option 1
b)
Option 2
c)
Option 3
d)
Option 4
34.
Odds
a)
Option 1
b)
Option 2
c)
Option 3
d)
Option 4
35.
f/n
a)
relative frequency
b)
probability
c)
equally likely outcomes
d)
intuition
36.
The formula: (Number of outcomes favorable to event)/ (Total number of outcomes) represents what?
a)
relative frequency
b)
probability
c)
equally likely outcomes
d)
intuition
37.
What does this represent?
a)
the complement
b)
the event
c)
the odds of an event
38.
The word AND in probability
a)
means to add
b)
means to mulitply
c)
means to subtract
d)
means to divide
39.
The word OR in probability
a)
means to add
b)
means to mulitply
c)
means to subtract
d)
means to divide
40.
P(B|A)
a)
the probability of A happening given that B has occurred.
b)
the probability of B happening given that A has occurred.
c)
Divide the probability of B by the probability of A
41.
P(A|B)
a)
the probability of A happening given that B has occurred.
b)
the probability of B happening given that A has occurred.
c)
Divide the probability of A by the probability of B
42.
When you see P(A|B) you will be ________ the probabilities.
a)
adding
b)
multiplying
c)
dividing
d)
subtracting
43.
Conditional Probability
a)
P(A)/P(B)=P(A/B)
b)
P(A|B) =P(A)/P(B)
c)
P(A|B)= P(A and B)/P(B)
d)
P(A)=P(B/A)
44.
What is this formula for
a)
Permutation
b)
Factorial
c)
Combination
d)
Probability
45.
What is this formula for
a)
Permutation
b)
Factorial
c)
Combination
d)
Probability
46.
Statistics based strictly off the data
a)
Descriptive Statistics
b)
Inferential Statistics
c)
Probability Statistics
47.
Using data to describe
a)
Descriptive Statistics
b)
Inferential Statistics
c)
Probability Statistics
48.
Using data to make inferences
a)
Descriptive Statistics
b)
Inferential Statistics
c)
Probability Statistics
49.
Probability is the language of ______
a)
Descriptive Statistics
b)
Inferential Statistics
c)
Probability Statistics
50.
a numerical measure between 0 and 1 that describes the likelihood that an event will occur.
a)
chances
b)
probability
c)
percentage
d)
odds
51.
closer to 1 indicate that the event is _____
a)
certain to occur
b)
more likely to occur
c)
less likely to occur
d)
certain to not occur
52.
closer to 0 indicate that the event is _____
a)
certain to occur
b)
more likely to occur
c)
less likely to occur
d)
certain to not occur
53.
Probability Assignments
a)
based on intuition, based on relative frequency, based on equally likely outcomes
b)
based on intuition, based on odds, based on chances
c)
based on frequency, based on outcomes, based on your knowledge
54.
probability assignment based on using past experience, judgment, or opinion to estimate the likelihood of an event
a)
based on intuition
b)
based on relative frequency
c)
based on equally likely outcomes
55.
probability assignment based on favorable outcomes compared to total number of outcomes (theoretical probability)
a)
based on intuition
b)
based on relative frequency
c)
based on equally likely outcomes
56.
probability based comparing the frequency & the number of observations
a)
based on intuition
b)
based on relative frequency
c)
based on equally likely outcomes
57.
As the sample size increases, the relative frequencies of outcomes get closer and closer to the theoretical probability value
a)
Probability Assignment
b)
Law of Large Number
c)
Law of Statistical Experiment
58.
A collection of one or more outcomes of an experiment or observation
a)
event
b)
sample space
c)
simple event
59.
one particular outcome of an experiment
a)
event
b)
sample space
c)
simple event
60.
the set of all possible outcomes
a)
event
b)
sample space
c)
simple event
61.
________________is the event that A does not occur.
a)
Odds (A)
b)
The complement of event A
c)
Probabiliity of A
d)
Opposite (A)
62.
A visual display of the outcomes
a)
probability
b)
tree diagram
c)
venn diagram
d)
a turkey
63.
The occurrence of one event does not affect the chances of the occurrence of the other event
a)
independent events
b)
dependent events
c)
conditional probability
d)
Elan RodWave
64.
The occurrence of one event does affect the chances of the occurrence of the other event
a)
independent events
b)
dependent events
c)
conditional probability
d)
Elan RodWave
65.
Define Mutually exclusive events
a)
Exclusive events that happen rarely
b)
Events that cannot happen at the same time
c)
Events that can happen at the same time
d)
Events that are mutual
66.
Events that cannot occur together
a)
Separate Events
b)
Mutually Exclusive Events
c)
Current Events
d)
Mutal Events
67.
If an event A can occur in x different ways and another event B can occur in y different ways, then there are x × y ways of occurrence of both the events simultaneously...
a)
Permulations
b)
Combination
c)
Counting Rule
d)
Factorial
68.
The likelihood of an event or outcome occurring, based on the occurrence of a previous event or outcome.
a)
Counting Rule
b)
Conditional Probability
c)
Permutations
d)
Combinations
69.
Mathematical technique that determines the number of possible arrangements in a set when the order of the arrangements matter
a)
Counting Rule
b)
Conditional Probability
c)
Permutations
d)
Combinations
70.
Mathematical technique that determines the number of possible arrangements in a set when the order of the arrangements doesn't matter
a)
Counting Rule
b)
Conditional Probability
c)
Permutations
d)
Combinations
71.
The probability of ______ depends on if you have mutually exclusive events (ones that cannot happen at the same time)
a)
A | B
b)
A and B
c)
A or B
d)
C or D
72.
Graphics should NOT ...
a)
display accurate & honest data
b)
distort the data
c)
allow viewers to think about substance
73.
________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
74.
Uses tally marks in groups of 5
a)
histogram
b)
stem and leaf
c)
ogive
d)
frequency table
75.
_______breaks the digits of each data value into two parts
a)
histogram
b)
stem and leaf
c)
ogive
d)
frequency table
76.
What is something a bar graph does NOT need?
a)
TItle & Labels
b)
Key/Legend
c)
Appropriate scale
d)
Percentages
77.
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
78.
Uses bars that touch
a)
bar graph
b)
pareto chart
c)
frequency table
d)
histogram
79.
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
80.
data are plotted in order of occurrence
a)
pie chart
b)
pareto chart
c)
ogive
d)
time series chart
81.
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
82.
Used to identify the frequency of events or categories in decreasing order of frequency of occurrence.
a)
pie chart
b)
pareto chart
c)
ogive
d)
time series chart
83.
Used to organize large sets of quantitative data into smaller intervals or classes
a)
circle graph
b)
ogive table
c)
frequency table
d)
time series chart
84.
puts data into classes or intervals
a)
circle graph
b)
ogive table
c)
frequency table
d)
pareto chart
85.
difference between two consecutive class' lower limits
a)
class limits
b)
class width
c)
class midpoint
d)
class frequency
86.
(Largest-Smallest) divided by # of classes
a)
class limits
b)
class width
c)
class midpoint
d)
class frequency
87.
1st lower class limit + class width
a)
class limits
b)
class width
c)
class midpoint
d)
class range
88.
Always round up
a)
class boundary
b)
class width
c)
class midpoint
d)
class range
89.
add & subtract 0.5 to the class limit to get this
a)
class boundary
b)
class width
c)
class midpoint
d)
class range
90.
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
91.
(lower limit + upper limit)/2
a)
class boundary
b)
class width
c)
class midpoint
d)
class range
92.
class frequency/ total frequencies
a)
relative frequency
b)
cumulative frequency
c)
class midpoint
d)
class range
93.
the sum of the frequencies for that class and all previous classes.
a)
relative frequency
b)
cumulative frequency
c)
class midpoint
d)
class range
94.
Ogive
a)
a graph that displays cumulative frequencies
b)
A graph that displays the largest to smallest
c)
Used to show a relationship between a sample and a population
d)
Used to display proportional parts of the total population
95.
Histogram
a)
a graph that displays cumulative frequencies
b)
A graph that displays the largest to smallest
c)
Used to show a relationship between a sample and a population
d)
Used to display proportional parts of the total population
96.
Pareto Chart
a)
a graph that displays cumulative frequencies
b)
A graph that displays the largest to smallest
c)
Used to show a relationship between a sample and a population
d)
Used to display proportional parts of the total population
97.
Distribution type that has 2 distinct peaks separated by at least one class
a)
uniform
b)
bimodal
c)
mound
d)
skewed
98.
Distribution type that is equally distributed in all classes
a)
uniform
b)
bimodal
c)
mound
d)
skewed
99.
Distribution type that is shifted to one side of the graph
a)
uniform
b)
bimodal
c)
mound
d)
skewed
100.
data values that are very different from other measurements in the data set
a)
exception
b)
irregularity
c)
nonconformist
d)
outlier
101.
Stem & Leaf can show the distribution of the data
a)
True
b)
False
102.
The bars are arranged from left to right according to decreasing height on a bar graph
a)
True
b)
False
103.
On a histogram the y axis represents frequency
a)
True
b)
False
104.
360 degrees = 100%
a)
False
b)
True
105.
On a time series graph the y axis represents time
a)
False
b)
True
106.
The bars are arranged from left to right according to decreasing height on a pareto chart
a)
False
b)
True
107.
On a histogram, the bar length or height on a bar graph ALWAYS represents the frequency of an event.
a)
False
b)
True
108.
The classes or intervals are constructed so that each data value falls into exactly one class.
a)
True
b)
False
109.
if the sample is large enough, the distribution of the sample should be reasonably similar to the population's shape
a)
True
b)
False
110.
_________ consists of methods for organizing and summarizing information.
a)
Descriptive Statistics
b)
Inferential Statistics
c)
Objective Statistics
111.
_________ 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)
Objective Statistics
112.
______ are observations that have been collected
a)
Sample
b)
Statistics
c)
Population
d)
Data
113.
______ are a collection of methods for planning studies and experiments, obtaining data, and then organizing, summarizing, analyzing, interpreting, and drawing conclusions based on the data.
a)
Sample
b)
Statistics
c)
Population
d)
Data
114.
______ is the collection of ALL individuals or items under consideration in a statistical study.
a)
Sample
b)
Data
c)
Population
d)
Census
115.
______ is the collection of data from EVERY member of a population.
a)
Sample
b)
Data
c)
Population
d)
Census
116.
______ is that part of the population from which information is obtained.
a)
Sample
b)
Data
c)
Population
d)
Census
117.
______ is a numerical measurement describing some characteristic of a population
a)
Statistic
b)
Parameter
c)
Data
d)
Census
118.
______ is a numerical measurement describing some characteristic of a sample.
a)
Statistic
b)
Parameter
c)
Data
d)
Census
119.
______ is numbers representing counts or measurements
a)
Statistic
b)
Parameter
c)
Quantitative Data
d)
Qualitative Data
120.
______ consists of names or labels.
a)
Statistic
b)
Parameter
c)
Quantitative Data
d)
Qualitative Data
121.
______ is characterized by data that consists of names, labels, or categories ONLY. The data can not be arranced in a meaningful ordering scheme
a)
Ordinal
b)
Nominal
c)
Ratio
d)
Interval
122.
______ involves data that can be arranged in some order, but differences between data values either cannot be determined or are meaningless.
a)
Ordinal
b)
Nominal
c)
Ratio
d)
Interval
123.
______ involves data that can be arranged in some order, but differences between any two data values is meaningful, and there exists a natural ZERO starting point.
a)
Ordinal
b)
Nominal
c)
Ratio
d)
Interval
124.
______ 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)
Ordinal
b)
Nominal
c)
Ratio
d)
Interval
125.
______ is a study that observes and measures specific characteristics without any attempt to modify the subjects being studied.
a)
Retrospective Study
b)
Cross-Sectional Study
c)
Observational Study
d)
Prospective Study
e)
Experiment
126.
______ is a study that applies some treatment to subjects and then observes its effect on the subjects.
a)
Retrospective Study
b)
Cross-Sectional Study
c)
Observational Study
d)
Prospective Study
e)
Experiment
127.
______ is when memebers of the population are selected in such a way that each individual member has an equeal chance of being selected.
a)
Systemastic Sampling
b)
Stratified Sampling
c)
Cluster Sampling
d)
Convience Sampling
e)
Random Sampling
128.
______ is when a starting point is randomly selected and then every Kth element in the population is selected.
a)
Systemastic Sampling
b)
Stratified Sampling
c)
Cluster Sampling
d)
Convience Sampling
e)
Random Sampling
129.
______ 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)
Systemastic Sampling
b)
Stratified Sampling
c)
Cluster Sampling
d)
Convience Sampling
e)
Random Sampling
130.
______ is when the population is subdivided into at least two different subgroups then some subgroups are randomly selected and all memebers are chosen.
a)
Systemastic Sampling
b)
Stratified Sampling
c)
Cluster Sampling
d)
Convience Sampling
e)
Random Sampling
131.
______ is when the researcher uses elements of the population that are the EASIEST to get.
a)
Systemastic Sampling
b)
Stratified Sampling
c)
Cluster Sampling
d)
Convience Sampling
e)
Random Sampling
132.
Which is an example of a random sample?
a)
Polling the first 10 people who enter a room
b)
Drawing 10 names from a hat
c)
Asking a survey question to people who call in
133.
Why should samples be randomly selected?
a)
for control
b)
so we don´t get the same answers from everyone
c)
to reduce bias
134.
Is this study bias: Carlos wants to know the favorite sport of people at his school so he asks his baseball team.
a)
Bias
b)
Unbias
135.
Is this study bias: A public library asked every 10th person who entered to name the type of book they were getting.
a)
Bias
b)
Unbias
136.
Is this study bias: A public library asked every 10th person who entered to name the type of book they were getting.
a)
Bias
b)
Unbias
137.
_____ occurs when error results from chance statistical variations, and is an expected part of any statistical study.
a)
Sampling Error
b)
Non-Sampling Error
138.
_____ occurs when data are incorrectly collected, recorded, or analyzed.
a)
Sampling Error
b)
Non-Sampling Error
139.
What type of level of measurement is being used with Military Rank?
a)
Ratio
b)
Interval
c)
Ordinal
d)
Nominal
140.
What type of level of measurement is being used with Crime Rate?
a)
Ratio
b)
Interval
c)
Ordinal
d)
Nominal
141.
What type of level of measurement is being used with a temperature reading in baking?
a)
Ratio
b)
Interval
c)
Ordinal
d)
Nominal
142.
What type of level of measurement is being used with the color of the students´ nail polish in statistics class?
a)
Ratio
b)
Interval
c)
Ordinal
d)
Nominal
143.
What type of level of measurement is being used with birth order?
a)
Ratio
b)
Interval
c)
Ordinal
d)
Nominal
144.
What type of level of measurement is being used with the height of buildings?
a)
Ratio
b)
Interval
c)
Ordinal
d)
Nominal
145.
_______ occurs when a subject receives no treatment but (incorrectly) believes he or she is in fact receiving treatment and responds favorably.
a)
Lurking Effect
b)
Lurking Variable
c)
Bias
d)
Placebo Effect
146.
In which a random process is used to assign each individual to one of the treatments.
a)
Double Blind Experiment
b)
Having a control group
c)
Completely Randomized Experiment
d)
Replication
147.
a group of individuals sharing some common features that might affect treatment
a)
control group
b)
block
c)
convience sample
d)
stratified group
148.
neither the individuals in the study nor the observers know which subjects are receiving the treatment
a)
randomization
b)
observational study
c)
double blind experiment
d)
placebo effect
149.
the ability to repeat the process accurately to show differences in results
a)
randomization
b)
observational study
c)
double blind experiment
d)
replication
150.
a group that is used to account for the influence of other known or unknown variables.
a)
block
b)
stratified group
c)
control group
d)
convience sample
151.
a method to model random events
a)
simulation
b)
random number generator
c)
census
d)
experiment
152.
a numerical facsimile or represenation of a real world phenomenom
a)
simulation
b)
random number generator
c)
census
d)
experiment
153.
results from OMITTING population memebers from the sample frame
a)
undercoverage
b)
placebo
c)
outliert
d)
mistake
154.
a list of individuals from which a sample is actually selected
a)
sampling frame
b)
undercoverage
c)
population
d)
census
155.
people or objects included in a study
a)
sampling frame
b)
variables
c)
individauls
d)
block
156.
a characteristic of the individual to be measured or observed.
a)
sampling frame
b)
variables
c)
individauls
d)
statistic
157.
using a variety of sampling methods to create successively smaller groups at each stage.
a)
cluster sampling
b)
replication
c)
randomization
d)
multistage sampling
158.
a process to obtain info about your individuals by asking various ?s
a)
statistic
b)
survey
c)
sample
d)
randomization
159.
a typle of variable that is one for which no data have been collected but that nevertheless has an influence on other variables in the study
a)
lurking variable
b)
confounding variable
160.
when the effects of one variable cannot be distinguished from the effects of the other
a)
lurking variable
b)
confounding variable
161.
can take on only a finite number of values or a countable number of values
a)
Random variable
b)
discrete
c)
continuious
d)
expected value
162.
_______ is a chance or random outcome
a)
Random variable
b)
discrete
c)
continuious
d)
expected value
163.
______ can take on any of the countless number of values in a line interval.
a)
Random variable
b)
discrete
c)
continuious
d)
expected value
164.
Features of a probabilty distribution
a)
it involves probability and it is distributed
b)
Has probability assigned to each discrete value and the sum must =1
c)
The sum must = 100 and the probabilty is random
d)
can be graphed and must have proability assigned
165.
The mean of a proability distribution is called
a)
lambda
b)
mean
c)
mew
d)
expected value
166.
number of trials * the probabilty =
a)
lambda
b)
standard deviation
c)
mew
d)
expected value
167.
Linear Combination
a)
a + bx
b)
a - bx
c)
ax1 + bx2
d)
mew + mew
e)
SD + SD
168.
Linear function
a)
a + bx
b)
a - bx
c)
ax1 + bx2
d)
mew + mew
e)
SD + SD
169.
Has only 2 outcomes
a)
binomial experiment
b)
bicycle experiment
c)
binomial expansion
d)
binomial theorem
170.
the equation for a binomial experiment
a)
p + q = 1
b)
1 - p = q
c)
1 - q = p
d)
p - q = 1
171.
the equation for a binomial experiment success
a)
p + q = 1
b)
1 - p = q
c)
1 - q = p
d)
p - q = 1
172.
the equation for a binomial experiment failure
a)
p + q = 1
b)
1 - p = q
c)
1 - q = p
d)
p - q = 1
173.
formula for binomial probability distribution
a)
Option 1
b)
Option 2
c)
Option 3
174.
For a binomial experiment, what are the possible outcomes?
a)
success & failure
b)
yes & no
c)
Up & Down
d)
x & y
175.
For a binomial experiment, it is not possible for the probability of success to change from one trial to the next. Why?
a)
because there are only 2 outcomes
b)
because the trials are independent
c)
because the trials are dependent
d)
because there is a fixed number of trials
176.
Probability distribution of a random variable that has two outcomes and the sampling is done without replacement is ________
a)
binomial probability distribution
b)
geometric probability distribution
c)
Poisson distribution
d)
hypergeometric distribution
177.
A discrete probability distribution can be displayed visually by a __________.
a)
bar graph
b)
circle graph
c)
histogram
d)
line graph
178.
_______________ is used to compute the probability of r successes in an interval of time, volume, area, and so forth.
a)
binomial probability distribution
b)
geometric probability distribution
c)
Poisson distribution
d)
hypergeometric distribution
179.
_____________ is used to find the probability that the first success of a binomial experiment occurs on trial number n
a)
binomial probability distribution
b)
geometric probability distribution
c)
Poisson distribution
d)
hypergeometric distribution
180.
The balance point is also known as the
a)
standard deviation
b)
the outlier
c)
the equalizer
d)
the mean
181.
The measure of spread is also known as the
a)
standard deviation
b)
the box
c)
the whiskers
d)
the mean
182.
The usual values are
a)
the mean + or - 2standard deviations
b)
the mean + or - 2.5standard deviations
c)
the mean * the probability of success
d)
the number of trials * the probabilty of success
183.
The unusual values are
a)
the mean + or - 2standard deviations
b)
the mean + or - 2.5standard deviations
c)
the mean * the probability of success
d)
the number of trials * the probabilty of success
184.
The quota
a)
minimum number of trials for a given probability
b)
maximum number of trials for a given probability
c)
the least probability
d)
the most probability
185.
The probababilty of at least 3 successes
a)
Option 1
b)
Option 2
c)
Option 3
d)
Option 4
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