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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 variable value can be represented as isolated points on a number line
Sample Variance
Discrete numerical data
Convenience sampling
Simple Random Sample
2. To divide the population into 2 or more non-overlapping subsets called strata
Numerical measurement describing some characteristic of a sample.
Distribution
Independent events
Strata sampling
3. The important aspects of the data are called?
Representative Sample
q
Characteristic of a distribution
Sample
4. Occur when one of them affects the probability of the other.
Stem-and-Leaf display
Dependent events
Discrete numerical data
Range
5. 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
What symbol must always be found in H0
Sample
Simple random sample
Systematic sampling
6. A flaw in the sampling procedure that makes it more likely that the sample will NOT be representative of population
Simple Random Sample
p
Convenience sampling
Bias
7. A method of data collection where the researcher selects a sample from the population and measures the variable of interest
Numerical Variable
Symmetric Distribution
N
Survey
8. 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).
P(A)
Discrete Data
Parameter
Interval
9. Is the entire collection of all individuals or objects of interest
The 3 measures of variation
s2
Population
Ratio
10. A method of data collection in which the objects of study are observed in their natural settings and the variables are recorded
Representative Sample
p value right tail
Observational study
S
11. Members of the population select themselves by volunteering
S x
Center of Distribution
p
Self-selected sample
12. A survey that includes every item or individual of the population
Discrete numerical data
Population
Sample Size
Census
13. A method of experimentation in which you can control as many variables as possible in order to isolate the effects of a response variable
Stem-and-Leaf display
Representative Sample
Designed experiment
The 2 measures of relative standing
14. Collection of information from the whole population
Simple random sample
Relative frequency histogram
Census
Survey
15. Is the process of using SAMPLE INFORMATION to draw inferences or conclusions about the POPULATION
Outliers
Outlier
n
Inferential Statistics
16. Create a sample by using data from population members that are readily available
Convenience sampling
p
Ratio
Bias
17. Sum of the values
S x
Statistic
Frequency histogram
Representative Sample
18. Null hypothesis
Statistic
H0
Discrete Data
P(A)
19. Square the standard deviation and to find the population variance square of the population standard deviation
p value right tail
Sample Variance
Random Sample or Probability Sample
The 4 measures of center
20. _______________ are numerical values that can assume only a limited number of values
Representative Sample
Nominal
Strata sampling
Discrete Data
21. Is the process of selecting a portion - or sample - of the entire population
Categorical Variable
n
Sampling
The 4 measures of center
22. Alternative hypothesis
Representative Sample
Statistic (note there is no 's' at the end)
Stem and leaf plots
H1
23. Type of information - usually a property of characteristic of a person or thing that is measured or observed
Variable
Graph
Self-selected sample
Median
24. Is a number that describes a characteristic of a population
Sample Size
Variable
s2
Parameter
25. Occur when one does not affect the probability of the occurrence of the other.
Data
Independent events
Symmetric Distribution
The 4 measures of center
26. A number that is used to describe a characteristic of a sample - such as a sample average - is called a __________.
Statistic (note there is no 's' at the end)
Dot plots
Alpha (a)
Statistic
27. Is denoted by 'N' - is the number of data values in the population
Ordinal
Frequency
Survey
Population Size
28. Information about individuals in a population
s
Survey
Outliers
Data
29. 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
s
Descriptive Statistics
Nominal
Distribution
30. Collection of information from a sample
Statistic
Systematic sampling
Survey
x
31. Population size
N
Data Set
Interval
Graph
32. (largest data value) - (smallest data value)
Statistic (note there is no 's' at the end)
range
Characteristic of a distribution
Parameter
33. Sample standard deviation
s
What symbol must always be found in H0
Population
n
34. _______________ are numerical measurements that can assume any value between two numbers
Continuous Data
Pictograph
Discrete Data
Convenience sampling
35. 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
Outlier
x
Parameter
Random Sample or Probability Sample
36. Mu; population mean
Statistic
Distribution
Numerical Variable
37. Sample size or number of trials
Sample Variance
Variable
Convenience sampling
n
38. Represents categories - and is nonnumerical in nature
Categorical Variable
Median
Simple random sample
Interval
39. Before they are arranged or analyzed - information or observations are called________.
s
S x
Raw Data
Ratio
40. Always use a equal symbol
Observational study
What symbol must always be found in H0
Statistic
Census
41. Is the portion of the population that is selected for study
Sample
Outliers
P(A)
Statistic
42. Is a sample that has the pertinent characteristics of the population in the same proportion - as they are included in that population
Discrete Data
Representative Sample
Cluster sampling
Median
43. Is a collection of several data pertaining to one or more variables
s
Skewed Distribution
Representative Sample
Data Set
44. A method in which you randomly choose one number from 'l' to 'k' and continue to select the kth element
Systematic sampling
Raw Data
Parameter
Interval
45. For a left tailed test use normalcdf(-999 - ZTS)
Population
p value left tail
Relative frequency histogram
N
46. Sample mean
x
S
Simple Random Sample
Population
47. An efficient method of graphing information using actual amounts: clusters - gaps - outliers are clearly identified.
Dot plots
P(A)
Convenience sampling
Stem and leaf plots
48. Variable where the value is a number that results from a measurement process - also called numerical data
Survey
Census
Numerical Variable
Convenience sampling
49. A numerical quantity measuring some aspect of the population
Parameter
Numerical Variable
Stem-and-Leaf display
50. 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
Parameter
p value left tail
Statistic
Skewed Distribution