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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. Capital sigma; summation
S
Sample Variance
Range
Dependent events
2. Determine the location of the middle value of all the data values
Numerical Variable
Statistics
range
Center of Distribution
3. The pattern of variation of data. The distribution may be described as symmetrical - positively skewed - or negatively skewed
The 2 measures of relative standing
s2
Distribution
Pictograph
4. Always use a equal symbol
Representative Sample
Bias
Relative frequency histogram
What symbol must always be found in H0
5. Disjoint events cannot overlap. They are mutually exclusive if they cannot occur at the same time.
Census
Relative frequency histogram
Disjoint event
Frequency
6. Double the answer from step 1 or step 2 (on whichever side your test statistics falls).
p value two tailed test
Pictograph
Representative Sample
Simple random sample
7. Complement of p
Representative Sample
q
The 4 measures of center
Cluster sampling
8. Can be used to get an initial graphical view of data
Data Set
Dot plots
Population
Population Size
9. Type II error is measured
s
Continuous Data
Population Size
10. A sample which is selected in such a manner - that each data value of the population has a non-zero probability of being selected for the sample
Representative Sample
Percentile
Census
Random Sample or Probability Sample
11. Level of measurement- Involves data that may be arranged in some order - but differences between data values either cannot be determined or are meaningless. (Example) Questions on a survey are scored with integers 1 thru 5 with 1 representing strong
Stem and leaf plots
Ordinal
Statistics
The 3 measures of variation
12. _______________ are numerical values that can assume only a limited number of values
Cluster sampling
H1
Discrete Data
Parameter
13. Parameter
Simple Random Sample
Observational study
Numerical measurement describing some characteristics of a population.
Outlier
14. Occur when one of them affects the probability of the other.
Pictograph
Dependent events
Population
Symmetric Distribution
15. Information about individuals in a population
Stem-and-Leaf display
Data
Frequency histogram
Simple random sample
16. A method of data collection where the researcher selects a sample from the population and measures the variable of interest
Survey
Stem and leaf plots
Sample
s2
17. Is a sample that has the pertinent characteristics of the population in the same proportion - as they are included in that population
Disjoint event
Representative Sample
q
p value left tail
18. An individual data value which lies far (above or below) from most or all of the other data values within a distribution
Outlier
Data
x
Numerical measurement describing some characteristics of a population.
19. _______________ of a numerical variable represents the data values of the variable from the lowest to the highest value along with the number of times each data value occurs
Disjoint event
Self-selected sample
Categorical Variable
Distribution
20. Test use normalcdf(ZTS -999)
p value right tail
Interval
Numerical Variable
Data Set
21. Has the same shape and horizontal scale as a histogram - but the vertical scale is marked with relative frequencies instead of actual frequencies
Designed experiment
Relative frequency histogram
Distribution
Skewed Distribution
22. Range - standard deviation and variance.
Strata sampling
The 3 measures of variation
n
s2
23. Mean - mode - median and midrange.
The 3 measures of variation
Sampling
The 4 measures of center
Data
24. A subset of the population- it's important to choose a sample at random to avoid bias in the results
Sample
Pictograph
Frequency histogram
p
25. Occur when one does not affect the probability of the occurrence of the other.
Descriptive Statistics
Independent events
Distribution
Census
26. 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
Outliers
Pictograph
S
27. 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
Data Set
H0
s2
Symmetric Distribution
28. Is the portion of the population that is selected for study
Population
Sample
S
29. A method of experimentation in which you can control as many variables as possible in order to isolate the effects of a response variable
N
Designed experiment
Population
Self-selected sample
30. An efficient method of graphing information using actual amounts: clusters - gaps - outliers are clearly identified.
Stem and leaf plots
s2
Percentile
Frequency histogram
31. To calculate the percentile take the number of values less than x - divide by total number of values and times by 100.
Range
Dot plots
Percentile
Characteristic of a distribution
32. 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
Nominal
Population
Random Sample or Probability Sample
s2
33. 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
Pictograph
Alpha (a)
Skewed Distribution
Statistics
34. Is the process of using SAMPLE INFORMATION to draw inferences or conclusions about the POPULATION
S
Independent events
Inferential Statistics
35. Create a sample by using data from population members that are readily available
Ratio
Frequency histogram
S
Convenience sampling
36. 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
Simple random sample
Data
Range
37. Type of bar graph that shows frequency distributions
Skewed Distribution
Range
Frequency histogram
Survey
38. Population is organized into groups (i.e - neighborhoods/departments) - and sampling unit is selected by a simple random sample
H1
Cluster sampling
p
Raw Data
39. Sample proportion
p
Frequency
Dependent events
Alpha (a)
40. 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.
Pictograph
Population Size
Raw Data
Relative frequency histogram
41. Population proportion
p
p value right tail
Range
P(A)
42. Is denoted by 'n' - is the number of data values in the sample
Sample
Numerical Variable
Center of Distribution
Sample Size
43. _______________ are numerical measurements that can assume any value between two numbers
Independent events
H0
Numerical measurement describing some characteristics of a population.
Continuous Data
44. Standard scores and percentile
Sample Variance
p value right tail
s2
The 2 measures of relative standing
45. A collection of individuals about which we want to draw conclusions
Simple Random Sample
Population
Sample
p value left tail
46. A survey that includes every item or individual of the population
Census
Distribution
Center of Distribution
47. Square the standard deviation and to find the population variance square of the population standard deviation
Numerical Variable
Representative Sample
Sample Variance
range
48. Statistics
Census
Numerical measurement describing some characteristic of a sample.
s2
Representative Sample
49. A descriptive tool used to visually describe the characteristics and relationships of collections of data quickly and attractively
Cluster sampling
Graph
The 2 measures of relative standing
Stem-and-Leaf display
50. Null hypothesis
H0
p value right tail
x
Census
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