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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. 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
Representative Sample
P(A)
Range
Statistics
2. Can be used to get an initial graphical view of data
Sample Size
Sample
Dot plots
S x
3. Is the portion of the population that is selected for study
s2
p
Sample
q
4. A flaw in the sampling procedure that makes it more likely that the sample will NOT be representative of population
Bias
Representative Sample
Random Sample or Probability Sample
Exploratory data analysis
5. A method in which you randomly choose one number from 'l' to 'k' and continue to select the kth element
The 2 measures of relative standing
The 4 measures of center
Systematic sampling
Dependent events
6. Determine the location of the middle value of all the data values
Center of Distribution
The effect of extreme values on the measures of center
Pictograph
Survey
7. A descriptive tool used to visually describe the characteristics and relationships of collections of data quickly and attractively
Parameter
s2
Graph
N
8. Lowercase sigma; population standard deviaition
P(A)
Parameter
s
Sample Variance
9. 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
s
Descriptive Statistics
Designed experiment
10. Type of information - usually a property of characteristic of a person or thing that is measured or observed
Median
Variable
Raw Data
S
11. Mu; population mean
Pictograph
Numerical Variable
The 3 measures of variation
12. Capital sigma; summation
N
Observational study
S x
S
13. A numerical quantity measuring some aspect of the population
s
The 2 measures of relative standing
Parameter
Sample
14. Disjoint events cannot overlap. They are mutually exclusive if they cannot occur at the same time.
Frequency histogram
x
The effect of extreme values on the measures of center
Disjoint event
15. An efficient method of graphing information using actual amounts: clusters - gaps - outliers are clearly identified.
Stem and leaf plots
Sample
Cluster sampling
p
16. A survey that includes every item or individual of the population
Variable
s2
Ordinal
Census
17. Is a number that describes a characteristic of a sample
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18. A method of experimentation in which you can control as many variables as possible in order to isolate the effects of a response variable
Outliers
Designed experiment
Sample Size
Random Sample or Probability Sample
19. The variable value can be represented as isolated points on a number line
Sample
Pictograph
Discrete numerical data
Symmetric Distribution
20. 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
H0
Exploratory data analysis
What symbol must always be found in H0
21. A method of data collection where the researcher selects a sample from the population and measures the variable of interest
Self-selected sample
Sample
The 4 measures of center
Survey
22. Null hypothesis
Distribution
H0
q
Frequency histogram
23. An individual data value which lies far (above or below) from most or all of the other data values within a distribution
Outlier
Distribution
p value left tail
Median
24. 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
Ordinal
p value left tail
Designed experiment
Data Set
25. Sample standard deviation
p
Simple Random Sample
Nominal
s
26. Sample size or number of trials
Outlier
p
n
27. 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
P(A)
Outliers
Interval
Sample Size
28. _______________ are numerical measurements that can assume any value between two numbers
Sample
Census
Continuous Data
Disjoint event
29. Using graphs and numerical summaries to describe variables in a data set and their relationship
Numerical Variable
s2
Exploratory data analysis
Center of Distribution
30. _______________ are numerical values that can assume only a limited number of values
Discrete Data
Numerical measurement describing some characteristics of a population.
p
Graph
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
Random Sample or Probability Sample
Survey
Continuous Data
q
32. Population proportion
p value left tail
Disjoint event
s
p
33. Is a sample containing similar characteristics of the population
Skewed Distribution
Representative Sample
Outlier
H1
34. The number of times each data value occurs
Range
Population
Frequency
Continuous Data
35. Members of the population select themselves by volunteering
Inferential Statistics
Statistic
Cluster sampling
Self-selected sample
36. (largest data value) - (smallest data value)
range
q
The 3 measures of variation
Median
37. Occur when one does not affect the probability of the occurrence of the other.
Symmetric Distribution
Discrete Data
Census
Independent events
38. Test use normalcdf(ZTS -999)
S
Population
p value right tail
Discrete Data
39. Sample mean
Independent events
Simple random sample
x
P(A)
40. Is a collection of several data pertaining to one or more variables
Frequency
Data Set
Nominal
Survey
41. The pattern of variation of data. The distribution may be described as symmetrical - positively skewed - or negatively skewed
Relative frequency histogram
Distribution
N
range
42. Is denoted by 'N' - is the number of data values in the population
The 3 measures of variation
Population Size
P(A)
The 2 measures of relative standing
43. Standard scores and percentile
The 2 measures of relative standing
Raw Data
Median
p value two tailed test
44. Before they are arranged or analyzed - information or observations are called________.
Dot plots
Graph
p
Raw Data
45. 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
Data Set
Ratio
The 3 measures of variation
Discrete Data
46. Complement of p
Statistic
q
Random Sample or Probability Sample
Data Set
47. Is a number that describes a characteristic of a population
Numerical measurement describing some characteristics of a population.
Random Sample or Probability Sample
Survey
Parameter
48. Double the answer from step 1 or step 2 (on whichever side your test statistics falls).
p value two tailed test
H1
p
Disjoint event
49. 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.
Convenience sampling
Skewed Distribution
Pictograph
Discrete Data
50. Information about individuals in a population
Categorical Variable
The effect of extreme values on the measures of center
Population Size
Data