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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. A descriptive tool used to visually describe the characteristics and relationships of collections of data quickly and attractively
Categorical Variable
Graph
Stem-and-Leaf display
Distribution
2. Null hypothesis
H0
The 2 measures of relative standing
Inferential Statistics
Convenience sampling
3. A quantity calculated from data gathered from a sample- usually used to estimate a population parameter
The effect of extreme values on the measures of center
Representative Sample
s2
Statistic
4. Capital sigma; summation
Sample
S
Statistics
Simple Random Sample
5. Is a sample containing similar characteristics of the population
Categorical Variable
Simple random sample
Dependent events
Representative Sample
6. The variable value can be represented as isolated points on a number line
Discrete numerical data
Disjoint event
x
Sampling
7. Collection of information from a sample
Survey
Outliers
q
Exploratory data analysis
8. Probability of event A
Pictograph
Inferential Statistics
Convenience sampling
P(A)
9. Using graphs and numerical summaries to describe variables in a data set and their relationship
Outlier
Designed experiment
n
Exploratory data analysis
10. Standard scores and percentile
The 2 measures of relative standing
H1
Dot plots
Distribution
11. A visual exploratory data analysis technique that shows the shape of a distribution - this kind of display uses the actual values of the variable to present the shape of the distribution of data values
Systematic sampling
Stem-and-Leaf display
Dependent events
Bias
12. Complement of p
Simple random sample
q
Alpha (a)
Population Size
13. 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
Statistics
Relative frequency histogram
Symmetric Distribution
Ordinal
14. A flaw in the sampling procedure that makes it more likely that the sample will NOT be representative of population
Sampling
Bias
S
Inferential Statistics
15. Mean - mode - median and midrange.
Variable
Distribution
Distribution
The 4 measures of center
16. Always use a equal symbol
Graph
Interval
Median
What symbol must always be found in H0
17. Is a sample of data values selected from a population in such a way that every sample of size 'n' has an equal probability of being selected and every data value of the population has the same chance of being selected for the sample
Frequency histogram
Simple Random Sample
The 3 measures of variation
Categorical Variable
18. Population proportion
Representative Sample
p
s
Self-selected sample
19. To divide the population into 2 or more non-overlapping subsets called strata
Frequency histogram
Statistic
Strata sampling
20. The important aspects of the data are called?
p value right tail
Observational study
Characteristic of a distribution
Survey
21. Sample variance
s2
range
Sample Variance
Median
22. (largest data value) - (smallest data value)
Simple random sample
range
Sample
Categorical Variable
23. Is denoted by 'n' - is the number of data values in the sample
Statistics
Sample Size
Disjoint event
p
24. 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
p value left tail
Statistics
Ratio
Sample Size
25. Uses numerical and or visual techniques to summarize or describe the data in a clear effective manner
Stem-and-Leaf display
H0
Descriptive Statistics
S x
26. A survey that includes every item or individual of the population
Census
Simple Random Sample
Pictograph
Population Size
27. Middle value of a set of data values after they've been arranged in numerical order - 1. First arrange data values in numerical order 2. For odd # of data values - the median is the middle data value 3. For even # of data values - the median is the m
Median
Nominal
Population
Inferential Statistics
28. Sample standard deviation
s
H1
Disjoint event
Inferential Statistics
29. Is the portion of the population that is selected for study
Sample
Data
range
30. Has the same shape and horizontal scale as a histogram - but the vertical scale is marked with relative frequencies instead of actual frequencies
S
Population
P(A)
Relative frequency histogram
31. 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
p value two tailed test
Statistic
Population Size
Random Sample or Probability Sample
32. Is the process of selecting a portion - or sample - of the entire population
The 3 measures of variation
Sampling
Distribution
Inferential Statistics
33. Test use normalcdf(ZTS -999)
Sample Size
p value right tail
Census
n
34. Statistics
Discrete Data
The 3 measures of variation
n
Numerical measurement describing some characteristic of a sample.
35. The pattern of variation of data. The distribution may be described as symmetrical - positively skewed - or negatively skewed
Raw Data
Numerical measurement describing some characteristics of a population.
Frequency histogram
Distribution
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
x
Population
Characteristic of a distribution
37. 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
Distribution
Numerical measurement describing some characteristic of a sample.
x
38. Is denoted by 'N' - is the number of data values in the population
Population Size
p
Frequency
Categorical Variable
39. 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).
s2
Categorical Variable
Data Set
Interval
40. 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
Alpha (a)
Statistics
Outliers
Skewed Distribution
41. An individual data value which lies far (above or below) from most or all of the other data values within a distribution
Data Set
Outlier
Exploratory data analysis
Skewed Distribution
42. Type of information - usually a property of characteristic of a person or thing that is measured or observed
Sampling
H1
Variable
Strata sampling
43. Disjoint events cannot overlap. They are mutually exclusive if they cannot occur at the same time.
Disjoint event
H0
Survey
Independent events
44. Represents categories - and is nonnumerical in nature
s
Variable
Categorical Variable
Symmetric Distribution
45. A number that is used to describe a characteristic of a sample - such as a sample average - is called a __________.
Statistic
Strata sampling
Variable
Distribution
46. Occur when one of them affects the probability of the other.
Frequency
n
s
Dependent events
47. Information about individuals in a population
Percentile
Relative frequency histogram
Data
Parameter
48. Is a number that describes a characteristic of a sample
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49. Population is organized into groups (i.e - neighborhoods/departments) - and sampling unit is selected by a simple random sample
Population
Sample
Cluster sampling
Systematic sampling
50. Alternative hypothesis
q
H1
Symmetric Distribution
Independent events