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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. The level of significance and the probability of a type I error (rejecting a true null hypothesis). The area in the tail or tails of a distribution (z - t - or ?2); in hypothesis testing you don't always have a two tailed distribution as in confidenc
Data
Alpha (a)
Discrete numerical data
Survey
2. Sample mean
Statistics
x
Strata sampling
Pictograph
3. Test use normalcdf(ZTS -999)
Statistic (note there is no 's' at the end)
Pictograph
p value right tail
Dependent events
4. Type of bar graph that shows frequency distributions
Sample
Graph
Frequency histogram
Data
5. Always use a equal symbol
Discrete numerical data
Sample
What symbol must always be found in H0
Census
6. Create a sample by using data from population members that are readily available
p
Simple random sample
Convenience sampling
Disjoint event
7. Occur when one of them affects the probability of the other.
Center of Distribution
Population
Raw Data
Dependent events
8. A flaw in the sampling procedure that makes it more likely that the sample will NOT be representative of population
Ratio
Bias
Sample
Independent events
9. Population variance
s2
Independent events
x
p value two tailed test
10. Population proportion
p
Parameter
Distribution
H0
11. A collection of individuals about which we want to draw conclusions
Relative frequency histogram
q
Percentile
Population
12. A descriptive tool used to visually describe the characteristics and relationships of collections of data quickly and attractively
Self-selected sample
p value two tailed test
Descriptive Statistics
Graph
13. To divide the population into 2 or more non-overlapping subsets called strata
H1
Center of Distribution
Strata sampling
Ratio
14. 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
Sampling
The 3 measures of variation
Ordinal
15. Uses numerical and or visual techniques to summarize or describe the data in a clear effective manner
Alpha (a)
Sampling
Descriptive Statistics
Disjoint event
16. 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
n
S
Population
Nominal
17. A number that is used to describe a characteristic of a sample - such as a sample average - is called a __________.
Simple random sample
Statistic
Convenience sampling
Statistic (note there is no 's' at the end)
18. Lowercase sigma; population standard deviaition
Relative frequency histogram
s
p value two tailed test
What symbol must always be found in H0
19. Is a number that describes a characteristic of a sample
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20. Double the answer from step 1 or step 2 (on whichever side your test statistics falls).
p value two tailed test
p value right tail
Outliers
Stem and leaf plots
21. 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).
The 2 measures of relative standing
Interval
p value two tailed test
Descriptive Statistics
22. Is the portion of the population that is selected for study
Frequency histogram
S x
Sample
Numerical measurement describing some characteristics of a population.
23. Is the process of using SAMPLE INFORMATION to draw inferences or conclusions about the POPULATION
q
Continuous Data
Graph
Inferential Statistics
24. Parameter
Numerical measurement describing some characteristics of a population.
Outliers
q
Discrete numerical data
25. Is the entire collection of all individuals or objects of interest
S
Convenience sampling
Numerical measurement describing some characteristic of a sample.
Population
26. Using graphs and numerical summaries to describe variables in a data set and their relationship
Exploratory data analysis
n
S
27. 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
Representative Sample
Disjoint event
Stem-and-Leaf display
28. The pattern of variation of data. The distribution may be described as symmetrical - positively skewed - or negatively skewed
Numerical measurement describing some characteristic of a sample.
Distribution
Descriptive Statistics
Dot plots
29. Collection of information from a sample
Random Sample or Probability Sample
Survey
q
30. The variable value can be represented as isolated points on a number line
Discrete numerical data
Census
Raw Data
Ordinal
31. _______________ are numerical values that can assume only a limited number of values
Discrete Data
Distribution
The 4 measures of center
Disjoint event
32. Can be used to get an initial graphical view of data
p value left tail
s2
Nominal
Dot plots
33. Is denoted by 'N' - is the number of data values in the population
Statistic
Population Size
H0
Survey
34. Is denoted by 'n' - is the number of data values in the sample
n
Stem and leaf plots
x
Sample Size
35. Sum of the values
The 2 measures of relative standing
Frequency histogram
Statistic
S x
36. To find the range subtract the lowest value by the highest value.
Range
Frequency
Ordinal
p
37. Mu; population mean
Median
Range
Pictograph
38. For a left tailed test use normalcdf(-999 - ZTS)
Center of Distribution
p value left tail
p value right tail
Statistics
39. Is a sample that has the pertinent characteristics of the population in the same proportion - as they are included in that population
Discrete Data
p value right tail
Representative Sample
Exploratory data analysis
40. Complement of p
Distribution
Statistic (note there is no 's' at the end)
p
q
41. (largest data value) - (smallest data value)
Continuous Data
p value two tailed test
range
Characteristic of a distribution
42. Sample proportion
p
Categorical Variable
Median
Continuous Data
43. Is the process of selecting a portion - or sample - of the entire population
Stem and leaf plots
Cluster sampling
s
Sampling
44. Sample standard deviation
Population
Ratio
s
Statistic
45. A subset of the population- it's important to choose a sample at random to avoid bias in the results
Sample
Graph
Descriptive Statistics
Frequency histogram
46. 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
Outliers
Sampling
Population
47. _______________ are numerical measurements that can assume any value between two numbers
Continuous Data
Variable
S x
Sample Size
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
S x
Random Sample or Probability Sample
Outliers
H1
49. Represents categories - and is nonnumerical in nature
Categorical Variable
Stem-and-Leaf display
Discrete Data
Ratio
50. 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
Numerical Variable
Statistics
Independent events
Alpha (a)
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