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Exam #1 Review
Exam #1 Review
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Answers
1
On a box plot 50% of the data fall below the median
False
True
2
Predictive validity and concurrent validity are types of construct validity.
True
False
3
Given r = -0.82 : which of the following describe the relationship?
as x decreases, y decreases
as x decreases, y increases
as x increases, y increases
as x increases, y decreases
4
The reason we use n-1 in the denominator of the standard deviation formula.
we do not use n-1 in the formula
to artificially increase the standard deviation
to be conservative in the estimation of variability
to obtain an unbiased estimate
5
Content validity is confirmed when experts determine the test reflects the universe of items in the topic being measured
True
False
6
On a box plot ___% of the values fall below Q3
25
50
75
100
7
We may use our book/notes/Canvas shell for the exam.
False
True
8
This is the most precise measurement scale as absolute comparisons can be made.
interval
nominal
ratio
ordinal
9
Subtracting the lowest value of a data set from the highest value of a data set results in this measure.
Range
Interquartile range
Median
Mode
10
What is not included in the five number summary?
Mean
Maximum Value
Standard Deviation
Upper Quartile
11
Samples should be biased in order to represent the population
True
False
12
When sampling based on the proportion of subgroups of interest we use:
simple random sample
systematic random sample
stratified random sample
multistage cluster sample
13
To establish this we correlate the scores of our current measure to scores from a valid, similar established measure.
predictive validity
construct validity
content validity
concurrent validity
14
Comparing the percent agreement between two observers on a particular test:
internal consistency reliability
parallel forms reliabiility
test-retest reliability
interrater reliability
15
These visualizations are helpful for solving probability problems.
box plot
scatterplot
probability tree
contingency table (2x2 table)
16
On a box plot, the IQR represents ___% of the distribution.
25
50
75
100
17
Which correlation coefficient is interpreted as a strong relationship?
-0.80
0.40
-0.10
0.93
18
If a test is consistent over time it has:
test-retest reliability
internal consistency reliability
parallel forms reliability
interrater reliability
19
On a box plot 25% of the data fall between Q1 and Q3
False
True
20
The probability of rolling either a 1 or a 2 on one roll of a die?
(1/6)*(1/6)
(1/6)+(1/6)
(2/6)
21
When is a test reliable?
When you can draw specific conclusions.
When a test consistently measures a characteristic.
IF what is being measured is related to the requirements.
When there is meaning to the score.
22
Variance is the average variation from the mean
True
False
23
A scatterplot can display ____ between variables
correlation
proportion
causation
standard deviation
24
This sample ensures every element has an equal chance of being selected from the population
stratified random sample
systematic random sample
simple random sample
multistage cluster sample
25
Which is an example of a continuous variable?
The amount of rain in inches that falls in a storm.
The number of test questions answered correctly.
Shoe sizes.
Number of students in a class.
26
T/F: A test must first be reliable before it can be valid.
False
True
27
Continuous interval or ratio data are displayed with these:
scatterplot
bar chart
pie chart
histogram
28
Inferential statistics uses the following:
Measures of dispersion.
Distribution tables.
Hypothesis testing and regression analysis.
Measures of central tendency.
29
Given the following values of r, which is the strongest?
-0.88
0.72
-0.25
0.6
30
A large health care organization wants to explore employee wellness by randomly selecting 5 locations then surveying all
systematic random sample
multistage cluster sample
stratified random sample
simple random sample
31
What is an example of ratio data?
Nationalities
Income
Education Level
Temperature
32
This visualization is best for displaying data over time.
bar chart
line chart
pie chart
box plot
33
Which chart would you use to observe the relationship between two numerical values?
Scatterplot
Pie Chart
Line Chart
Histogram
34
As r approaches 0 how would we describe the relationship?
strong
weak
medium
very strong
35
The average variation from the mean
variance
interquartile range
range
standard deviation
36
This is the value obtained by: ∑X/n
interquartile range
mean
standard deviation
variance
37
For this scale of measurement the mean can be calculated, but may not be meaningful
nominal
ordinal
ratio
interval
38
We may work together with peers on the test.
False
True
39
Reasons to use a convenience sample:
it is the gold standard of sampling
save money
save time
I am lazy
40
What does X represent?
Sample Size
Mean
Individual Scores
Population
41
The Celsius temperature scale is this type of measure:
interval
ordinal
ratio
Nominal
42
Chose a person randomly, what is the probability that they had cancer, given that they were on AHA diet?
15/22
15/605
15/303
43
Choose a person randomly, what is the probability that they were on a Mediterranean diet given that they were healthy?
273/302
273/512
273/605
44
T/F: standard deviation = variance squared
True
False
45
Which chart measures continuous data?
Pie Chart
Box and Whisker Plot
Histogram
Bar Chart
46
The probability of drawing two cards from a deck and both being jacks (no replacing cards)
(4/52)*(3/51)
(4/52)*(4/52)
4/52
47
What is a characteristic of the function SDTEV.S?
Uses n.
Calculates standard deviation from a population.
Uses n-1.
Calculates p-values.
48
Frequencies & proportions are displayed with these
histogram
bar chart
box plot
pie chart
49
The probability of flipping heads two times in a row is = 0.5+0.5
False
True
50
Mode can be computed for nominal data
False
True
51
Scales of measurement include:
mean
proportion
ratio
nominal
52
Comparing two different tests (such as an oral and ear thermometer) we can determine:
Parallel forms reliability
internal consistency reliability
interrater reliability
Test-retest reliability
53
Choose a person randomly, what is the probability of having cancer?
22/605
22/302
22/303
15/22