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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. (largest data value) - (smallest data value)
p value left tail
Dependent events
Skewed Distribution
range
2. Members of the population select themselves by volunteering
p value right tail
Pictograph
Self-selected sample
Nominal
3. Collection of information from the whole population
Census
Alpha (a)
Descriptive Statistics
Categorical Variable
4. Mu; population mean
Bias
Median
P(A)
5. Occur when one of them affects the probability of the other.
Distribution
Dependent events
Census
Raw Data
6. Is the entire collection of all individuals or objects of interest
Numerical measurement describing some characteristics of a population.
Data Set
Population
s2
7. Square the standard deviation and to find the population variance square of the population standard deviation
Discrete Data
Sample Variance
Data Set
Graph
8. Population variance
Stem-and-Leaf display
s2
Median
n
9. Can be used to get an initial graphical view of data
H0
What symbol must always be found in H0
Dot plots
Ordinal
10. A survey that includes every item or individual of the population
Dependent events
Distribution
Census
Data Set
11. _______________ are numerical values that can assume only a limited number of values
Distribution
p
Representative Sample
Discrete Data
12. One extreme value can affect it dramatically.
H0
p
The effect of extreme values on the measures of center
Population
13. Represents categories - and is nonnumerical in nature
Categorical Variable
Frequency histogram
Sample
14. Statistics
N
Numerical measurement describing some characteristic of a sample.
Sample
range
15. Alternative hypothesis
S
H1
Representative Sample
Statistic
16. Create a sample by using data from population members that are readily available
Continuous Data
s
Convenience sampling
Discrete Data
17. Lowercase sigma; population standard deviaition
s
Characteristic of a distribution
S x
Sampling
18. Is the portion of the population that is selected for study
Sample
s2
Discrete numerical data
Skewed Distribution
19. 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
Independent events
x
p
Symmetric Distribution
20. Is a number that describes a characteristic of a sample
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21. Capital sigma; summation
Raw Data
Bias
H1
S
22. Is a sample that has the pertinent characteristics of the population in the same proportion - as they are included in that population
Representative Sample
Designed experiment
p value two tailed test
Discrete Data
23. Parameter
Numerical measurement describing some characteristics of a population.
Discrete Data
Distribution
Strata sampling
24. Population is organized into groups (i.e - neighborhoods/departments) - and sampling unit is selected by a simple random sample
Alpha (a)
P(A)
s2
Cluster sampling
25. 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
Random Sample or Probability Sample
x
Distribution
26. A method of data collection where the researcher selects a sample from the population and measures the variable of interest
H1
p value left tail
Numerical measurement describing some characteristic of a sample.
Survey
27. Occur when one does not affect the probability of the occurrence of the other.
Representative Sample
Independent events
Sampling
q
28. The variable value can be represented as isolated points on a number line
Convenience sampling
p value two tailed test
Discrete numerical data
s2
29. Population proportion
Random Sample or Probability Sample
Continuous Data
n
p
30. 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
Relative frequency histogram
Outlier
Ordinal
N
31. Collection of information from a sample
Parameter
Survey
The 2 measures of relative standing
Ordinal
32. Sample standard deviation
Median
s
What symbol must always be found in H0
33. 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
Survey
Data Set
Inferential Statistics
Median
34. Has the same shape and horizontal scale as a histogram - but the vertical scale is marked with relative frequencies instead of actual frequencies
Representative Sample
Relative frequency histogram
s2
Data Set
35. A subset of the population- it's important to choose a sample at random to avoid bias in the results
Sample Variance
Sample
Cluster sampling
Graph
36. To divide the population into 2 or more non-overlapping subsets called strata
Interval
Numerical Variable
S
Strata sampling
37. Sample size or number of trials
Population
Interval
Numerical measurement describing some characteristics of a population.
n
38. A quantity calculated from data gathered from a sample- usually used to estimate a population parameter
Statistic
Survey
Parameter
Census
39. An individual data value which lies far (above or below) from most or all of the other data values within a distribution
Outlier
Symmetric Distribution
Distribution
S x
40. For a left tailed test use normalcdf(-999 - ZTS)
Symmetric Distribution
Survey
Sample
p value left tail
41. Uses numerical and or visual techniques to summarize or describe the data in a clear effective manner
Simple Random Sample
Descriptive Statistics
p
Simple random sample
42. A numerical quantity measuring some aspect of the population
Skewed Distribution
Observational study
Population
Parameter
43. Is a number that describes a characteristic of a population
Frequency
Systematic sampling
Parameter
Population
44. Is denoted by 'n' - is the number of data values in the sample
Continuous Data
Numerical Variable
Sample Size
Survey
45. Is a collection of several data pertaining to one or more variables
Data Set
S
Raw Data
Distribution
46. Disjoint events cannot overlap. They are mutually exclusive if they cannot occur at the same time.
Disjoint event
s
Inferential Statistics
Ordinal
47. Is denoted by 'N' - is the number of data values in the population
Data Set
Population Size
Exploratory data analysis
N
48. An efficient method of graphing information using actual amounts: clusters - gaps - outliers are clearly identified.
Continuous Data
Statistic
Stem and leaf plots
49. A method of data collection in which the objects of study are observed in their natural settings and the variables are recorded
Convenience sampling
range
Observational study
50. Before they are arranged or analyzed - information or observations are called________.
H1
Data
S
Raw Data