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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. Standard scores and percentile
The 2 measures of relative standing
Characteristic of a distribution
Population
H1
2. Alternative hypothesis
Convenience sampling
Stem and leaf plots
Systematic sampling
H1
3. A flaw in the sampling procedure that makes it more likely that the sample will NOT be representative of population
p
Bias
Census
Exploratory data analysis
4. Is the entire collection of all individuals or objects of interest
Representative Sample
Population
Convenience sampling
Numerical measurement describing some characteristics of a population.
5. Sum of the values
S x
Numerical Variable
Distribution
Stem and leaf plots
6. Is a number that describes a characteristic of a population
Parameter
s2
Characteristic of a distribution
Representative Sample
7. Population is organized into groups (i.e - neighborhoods/departments) - and sampling unit is selected by a simple random sample
Cluster sampling
q
Statistic
8. Probability of event A
Symmetric Distribution
Characteristic of a distribution
P(A)
Nominal
9. 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
Dependent events
p value left tail
Discrete numerical data
Statistics
10. The number of times each data value occurs
s2
Parameter
Frequency
Data
11. Parameter
Numerical measurement describing some characteristics of a population.
Distribution
Cluster sampling
Symmetric Distribution
12. Type of bar graph that shows frequency distributions
Distribution
Frequency histogram
Sampling
Range
13. An efficient method of graphing information using actual amounts: clusters - gaps - outliers are clearly identified.
Convenience sampling
P(A)
Stem and leaf plots
Population
14. 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
p value left tail
Outlier
Survey
15. To find the range subtract the lowest value by the highest value.
Parameter
Range
p value right tail
Data Set
16. Is a collection of several data pertaining to one or more variables
Data Set
Relative frequency histogram
q
range
17. A number that is used to describe a characteristic of a sample - such as a sample average - is called a __________.
Center of Distribution
Frequency histogram
Statistic
H1
18. Sample size or number of trials
s
Representative Sample
n
19. Sample standard deviation
s
p value left tail
Numerical Variable
Survey
20. Lowercase sigma; population standard deviaition
Sampling
Convenience sampling
n
s
21. Has the same shape and horizontal scale as a histogram - but the vertical scale is marked with relative frequencies instead of actual frequencies
Frequency histogram
Relative frequency histogram
Dependent events
H1
22. _______________ are numerical values that can assume only a limited number of values
Representative Sample
Discrete Data
Population
p value right tail
23. Occur when one of them affects the probability of the other.
Dependent events
Outlier
Strata sampling
Statistics
24. Is a sample that has the pertinent characteristics of the population in the same proportion - as they are included in that population
Observational study
The 3 measures of variation
Representative Sample
Dot plots
25. 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
Bias
Outliers
Random Sample or Probability Sample
Ordinal
26. Test use normalcdf(ZTS -999)
Range
s2
p value right tail
Convenience sampling
27. 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).
Interval
Statistics
Systematic sampling
Graph
28. Before they are arranged or analyzed - information or observations are called________.
Raw Data
Bias
Continuous Data
Stem-and-Leaf display
29. A descriptive tool used to visually describe the characteristics and relationships of collections of data quickly and attractively
Parameter
H0
Graph
Inferential Statistics
30. To calculate the percentile take the number of values less than x - divide by total number of values and times by 100.
Cluster sampling
The 2 measures of relative standing
Disjoint event
Percentile
31. Sample proportion
Representative Sample
Graph
Statistic
p
32. Capital sigma; summation
Simple random sample
The 3 measures of variation
Percentile
S
33. _______________ are numerical measurements that can assume any value between two numbers
Pictograph
Continuous Data
Statistics
p value right tail
34. Using graphs and numerical summaries to describe variables in a data set and their relationship
p
Exploratory data analysis
p value left tail
Frequency histogram
35. A quantity calculated from data gathered from a sample- usually used to estimate a population parameter
Statistic
Descriptive Statistics
Dependent events
Bias
36. Uses numerical and or visual techniques to summarize or describe the data in a clear effective manner
Parameter
Sample
Descriptive Statistics
q
37. Sample variance
Pictograph
s2
Outlier
Independent events
38. 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
Skewed Distribution
Discrete numerical data
Census
Parameter
39. Can be used to get an initial graphical view of data
Relative frequency histogram
Statistics
Symmetric Distribution
Dot plots
40. Occur when one does not affect the probability of the occurrence of the other.
Independent events
Center of Distribution
Discrete Data
Numerical measurement describing some characteristics of a population.
41. Information about individuals in a population
Sampling
Data
Nominal
Survey
42. Is a sample containing similar characteristics of the population
The 4 measures of center
H1
Outliers
Representative Sample
43. The pattern of variation of data. The distribution may be described as symmetrical - positively skewed - or negatively skewed
Distribution
Outlier
Continuous Data
Data
44. 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
Cluster sampling
Sampling
Ordinal
Raw Data
45. 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
Outlier
Stem-and-Leaf display
The 4 measures of center
46. A numerical quantity measuring some aspect of the population
Systematic sampling
Random Sample or Probability Sample
Parameter
47. Is a number that describes a characteristic of a sample
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48. Mu; population mean
S x
Variable
Convenience sampling
49. To divide the population into 2 or more non-overlapping subsets called strata
Numerical measurement describing some characteristic of a sample.
Exploratory data analysis
n
Strata sampling
50. Complement of p
p value two tailed test
Continuous Data
Range
q