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BUS300 Final Review
BUS300 Final Review
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A final exam review for Business Statistics
Flashcards
48 cards
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Practice quiz
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Questions
48
Answers
1
A student surveyed classmates in BUS300 to determine what sport all UTS students like best
Random sample
Convenience sample
Population census
Experimental design
2
A database of customers showed which towns they lived in. The "town" variable is
Integer
Ordinal
Ratio
Nominal
3
At the .05 level of significance, a p value of .045 is significant
True
False
4
The standard error is the standard deviation of a sampling distribution
True
False
5
To find the proportion of a normally distributed variable from a sample to the left of a value
Use 1-norm.s.dist
Use 1-norm.dist
Use norm.dist
Use norm.s.dist
6
What is the probability of a graduate wanting a job in either the local area or the state?
40%
65%
25%
35%
7
Employees tested before and after cybersecurity training. Did the training raise the mean score?
Left tailed independent sample means
Right tailed paired means
Right tailed independent sample means
Left tailed paired means
8
The Poisson distribution is parameterized by
the length of time between events
the mean and the standard deviation
the number of events within a time period
the number of trials and the probability of success
9
When the confidence level is increased, the confidence interval:
Increases
Does not change
There is no set relationship between the two
Decreases
10
Nationality is an example of
A nominal variable
An ordinal variable
A dummy variable
A ratio variable
11
The Poisson distribution is discrete while the related exponential distribution is continuous
True
False
12
The relationship between death from skin cancer and state latitude is
Unclear
Negative
Wrong
Positive
13
The correlation coefficient applies to a non-linear relationship
False
True
14
When you see ".s" or ".p" in a function like "=stdev.s" or "=stdev.p"
The "s" stands for "sure" and the "p" stands for "possible"
The "s" stands for "statistic" and the "p" stands for "proven"
The "s" stands for sample and the "p" stands for population
15
A z score is
just after a y score
the slope of a line
a score's distance from the mean in standard deviation units
a percentile
16
H
0
: μ=15 H
a
: μ\ne15
Left tailed test
Right tailed test
Two tailed test
17
How does the t-distribution differ from the normal distribution?
It is flatter than the normal with smaller sample sizes
It is asymmetrical
It is flatter than the normal with larger sample sizes
18
For Asian city driving, the Miles per Gallon distribution is
left skewed
right skewed
not at all skewed
19
In Excel, observations go on the rows and variables go in the columns
True
False
20
When you set a higher confidence level, say 99%, compared to a lower one, say 95%
The confidence interval doesn't change
The confidence interval gets larger
The confidence interval gets smaller
The confidence interval and confidence level are unrelated
21
Skew of less than |.3| (absolute .3)
Moderately skewed
Not at all skewed
Practically symmetric
Heavily skewed
22
Which of the following examples is an ordinal variable
Monday, Wednesday, Friday
100, 300, 275, 400, 215, 112
Never, seldom, sometimes, often
Brother, Father, Son
23
20 employees were given a "before training" test and an "after training" test. The confidence interval to use is
CI Paired Mean Difference
CI Mean Difference Independent Samples
It doesn't matter
CI for Standard Deviation
24
Mean = 100, sd = 25. Someone measuring 50 would have a z score of:
.5
-2
2
75
25
To find the proportion of a normally distributed variable from a sample to the right of a value
Use norm.dist
Use 1-norm.s.dist
Use norm.s.dist
Use 1-norm.dist
26
The probability that the true population mean lies within the confidence interval is the
standard error
standard deviation
confidence level
interquartile range
27
The distribution shown is
Normal
Right skewed
Left skewed
Uniform
28
To compare scores from tests that have different scales (eg, ACT and SAT) you should
convert them to z scores or percentiles
compare the raw scores
you can't compare them
29
On a measure of productivity, one worker had a z-score of 1.25. This means:
She did 1.25 times more work than the average worker
She was an average worker
She was in the 25th percentile
She was 1.25 standard deviations above the mean
30
A handy way to quickly sort and filter data is to use:
Counting by hand
A series of "countif" statements for all the combinations you might want to
Excel tables
31
The mean income of everyone in the US, as measured by the census, is a
population statistic
sample parameter
population parameter
sample statistic
32
Using sample data to generalize to the population is known as:
A leap of faith
Descriptive statistics
Inferential statistics
Statistical arrogance
33
Which of the following could be converted to a dummy variable without loss of information?
Favorite football team
Passed or Failed
Rating scale from 1 to 10
Age in years
34
A confidence interval is
The interquartile range
High and low bounds to an estimate given a confidence level
The amount of time it takes to be confident of an answer
+ or - 2 standard deviations from the population mean
35
The best measure of central tendency for a nominal variable is
Mean
Mode
Median
Standard deviation
36
What is the range for this data: 1, 12, 42, 118, 201
200
1 to 201
5
201
37
The binomial distribution is parameterized by
the number of trials and the probability of success
the mean and the standard deviation
the length of time between events
the number of events within a time period
38
The .inv appended to a distribution function (for example, norm.inv or t.dist.inv)
finds the probability that corresponds to a score
finds the score that corresponds to a percentile or probability
finds a confidence interval
finds the standard error of a sampling distribution
39
To graphically display a frequency distribution of a nominal variable
use a box and whisker chart
use a histogram
Use a scatter plot
use a column chart
40
Which relationships can be in a null hypothesis
\ge
\le
<
=
\ne
>
41
What is the probability that it will rain
and
your date will be late?
18%
90%
60%
None of these
42
The sampling distribution of the mean follows the shape of the underlying variable's distribution
False
True
43
H
0
: μ\le50,000 H
a
: μ>50,000
Left tailed test
Two tailed test
Right tailed test
44
This is a
Histogram
Bar chart
Column chart
Pie chart
45
In the box and whisker chart:
The dot is the median and the line in the box is the mean
The line is the mode
The dot is the 50th percentile
The dot is the mean and the line in the box is the median
46
An agribusiness company measured lamb birth weights. The graph is:
A line chart
A histogram
A column chart
A bar chart
47
In a normal distribution, the mean plus or minus 2 standard deviations should capture
~95% of all scores
~99% of all scores
~68% of all scores
~34% of all scores
48
The interquartile range is
The range within which the middle 50% of observations fall
The mean + or - 1 standard deviation
Wider than than + or - 1 standard deviation of the mean
The distance from the 25th lowest score and the 25th highest
