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Test your basic knowledge |
DSST Intro To Statistics
Start Test
Study First
Subjects
:
dsst
,
statistics
Instructions:
Answer 50 questions in 15 minutes.
If you are not ready to take this test, you can
study here
.
Match each statement with the correct term.
Don't refresh. All questions and answers are randomly picked and ordered every time you load a test.
This is a study tool. The 3 wrong answers for each question are randomly chosen from answers to other questions. So, you might find at times the answers obvious, but you will see it re-enforces your understanding as you take the test each time.
1. Represents categories - and is nonnumerical in nature
Categorical Variable
Population
Simple Random Sample
Data Set
2. Probability of event A
S
Survey
Statistic (note there is no 's' at the end)
P(A)
3. One extreme value can affect it dramatically.
The effect of extreme values on the measures of center
n
q
Representative Sample
4. When the distribution of the data values greater than the center of the display - and the data values less than the center of the display are mirror images of each other
Dependent events
Variable
p value right tail
Symmetric Distribution
5. An individual data value which lies far (above or below) from most or all of the other data values within a distribution
Median
Outlier
Cluster sampling
Range
6. Is a number that describes a characteristic of a population
Parameter
Median
p value right tail
Numerical Variable
7. Can be used to get an initial graphical view of data
Statistic
Stem and leaf plots
Dot plots
N
8. Parameter
Census
Frequency histogram
Population
Numerical measurement describing some characteristics of a population.
9. Population variance
s2
Discrete numerical data
The 3 measures of variation
Sample Variance
10. Level of measurement- Is like the ordinal level - with the additional property that we can determine meaningful amounts of differences between data. However - there is no inherent (natural) zero starting point (where none of the quantity is present).
Frequency histogram
Representative Sample
Interval
p value two tailed test
11. Is a sample that has the pertinent characteristics of the population in the same proportion - as they are included in that population
p value two tailed test
The 4 measures of center
Representative Sample
Symmetric Distribution
12. Is the portion of the population that is selected for study
Sample
Median
Census
n
13. Population size
p value right tail
N
Distribution
Median
14. Occur when one of them affects the probability of the other.
The 4 measures of center
p value two tailed test
Dependent events
p
15. Using graphs and numerical summaries to describe variables in a data set and their relationship
The 3 measures of variation
S x
Exploratory data analysis
Survey
16. When the distribution of the data values tend to be concentrated toward one end of the display or tail of the distribution - while the data values in the other tail are spread out through extreme values resulting in a longer tail
Distribution
Pictograph
Skewed Distribution
17. Null hypothesis
Inferential Statistics
H0
N
Random Sample or Probability Sample
18. _______________ are numerical values that can assume only a limited number of values
Continuous Data
Population Size
Census
Discrete Data
19. To find the range subtract the lowest value by the highest value.
Population
s
Range
Alpha (a)
20. Disjoint events cannot overlap. They are mutually exclusive if they cannot occur at the same time.
Sample
Disjoint event
p
Characteristic of a distribution
21. A flaw in the sampling procedure that makes it more likely that the sample will NOT be representative of population
Pictograph
Stem-and-Leaf display
q
Bias
22. Information about individuals in a population
Population
p value right tail
Data
Sample
23. A method in which each combination of people has an equal chance of being selected- the sample is representative of the population and is independent
Representative Sample
Simple random sample
What symbol must always be found in H0
Percentile
24. A subset of the population- it's important to choose a sample at random to avoid bias in the results
Sample
Distribution
s2
N
25. Members of the population select themselves by volunteering
Self-selected sample
Sampling
S x
P(A)
26. Population is organized into groups (i.e - neighborhoods/departments) - and sampling unit is selected by a simple random sample
Dot plots
Cluster sampling
p value left tail
q
27. Graph involving pictures of objects in which the size of the object in which the size of the object in the picture represents the relative size of the quantity being represented by the object.
Exploratory data analysis
n
Independent events
Pictograph
28. Sample standard deviation
Center of Distribution
Symmetric Distribution
s
Independent events
29. A method of data collection in which the objects of study are observed in their natural settings and the variables are recorded
Census
Parameter
Characteristic of a distribution
Observational study
30. Variable where the value is a number that results from a measurement process - also called numerical data
Relative frequency histogram
Raw Data
Stem and leaf plots
Numerical Variable
31. Lowercase sigma; population standard deviaition
s
Data
Statistic
Range
32. Range - standard deviation and variance.
q
The 3 measures of variation
Convenience sampling
33. Occur when one does not affect the probability of the occurrence of the other.
s2
Independent events
P(A)
Population
34. Double the answer from step 1 or step 2 (on whichever side your test statistics falls).
p value two tailed test
Variable
p
35. Uses numerical and or visual techniques to summarize or describe the data in a clear effective manner
Descriptive Statistics
The 3 measures of variation
p value right tail
p
36. Complement of p
Survey
Inferential Statistics
q
Distribution
37. Is denoted by 'n' - is the number of data values in the sample
Sample Size
s
p
Dot plots
38. Mu; population mean
Characteristic of a distribution
Population
Simple Random Sample
39. Involves the procedures associated with the data collection process - the summarizing and interpretation of data - and the drawing of inferences or conclusions based on the analysis of the data
Distribution
Variable
Statistics
Population Size
40. Level of measurement- Is the interval level modified to include the inherent zero starting point (where zero indicates that none of the quantity is present). For values at this level - differences and ratios are both meaningful. (Example) Ages of sur
Ratio
Representative Sample
Cluster sampling
n
41. Create a sample by using data from population members that are readily available
Percentile
Outliers
p value left tail
Convenience sampling
42. Level of measurement- involves data that consist of names - labels and categories only. The data cannot be arranged in an ordering scheme (such as low to high). (Example) Nationalities of survey respondents
s2
Cluster sampling
Nominal
Stem and leaf plots
43. A method in which you randomly choose one number from 'l' to 'k' and continue to select the kth element
Inferential Statistics
Exploratory data analysis
Systematic sampling
range
44. A method of data collection where the researcher selects a sample from the population and measures the variable of interest
Nominal
H0
n
Survey
45. For a left tailed test use normalcdf(-999 - ZTS)
Categorical Variable
The 2 measures of relative standing
p value left tail
Discrete numerical data
46. Type II error is measured
Parameter
Survey
Interval
47. Population proportion
Statistic (note there is no 's' at the end)
p
Categorical Variable
Dependent events
48. Data values that are either much larger or much smaller than the general body of data- they should be included in an analysis unless they are the result of human or other error
Variable
Census
Parameter
Outliers
49. Is a collection of several data pertaining to one or more variables
Statistics
x
Cluster sampling
Data Set
50. A survey that includes every item or individual of the population
Alpha (a)
Census
P(A)
N
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