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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. Square the standard deviation and to find the population variance square of the population standard deviation
S
Median
Ratio
Sample Variance
2. 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.
Population Size
Cluster sampling
Pictograph
What symbol must always be found in H0
3. Type of bar graph that shows frequency distributions
Discrete Data
Dependent events
Frequency histogram
P(A)
4. _______________ are numerical measurements that can assume any value between two numbers
Discrete Data
Alpha (a)
Data
Continuous Data
5. Mu; population mean
Disjoint event
Symmetric Distribution
s
6. Parameter
Numerical measurement describing some characteristics of a population.
Symmetric Distribution
Survey
7. Is the portion of the population that is selected for study
S
Distribution
Sample
Designed experiment
8. A method of experimentation in which you can control as many variables as possible in order to isolate the effects of a response variable
Designed experiment
s
S
x
9. A method of data collection where the researcher selects a sample from the population and measures the variable of interest
Sample Size
Ordinal
Survey
Exploratory data analysis
10. Statistics
Numerical measurement describing some characteristic of a sample.
Descriptive Statistics
Designed experiment
Discrete Data
11. Represents categories - and is nonnumerical in nature
Categorical Variable
Symmetric Distribution
Independent events
Sampling
12. An efficient method of graphing information using actual amounts: clusters - gaps - outliers are clearly identified.
Stem and leaf plots
p value right tail
Descriptive Statistics
The 3 measures of variation
13. Is a number that describes a characteristic of a sample
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14. 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
Descriptive Statistics
Population Size
S
Ordinal
15. Null hypothesis
s
H0
Designed experiment
The 2 measures of relative standing
16. Always use a equal symbol
Variable
Discrete numerical data
What symbol must always be found in H0
Representative Sample
17. 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
Sampling
Simple random sample
Discrete Data
Distribution
18. A flaw in the sampling procedure that makes it more likely that the sample will NOT be representative of population
Frequency histogram
Pictograph
P(A)
Bias
19. Is denoted by 'N' - is the number of data values in the population
Characteristic of a distribution
Representative Sample
Population Size
Strata sampling
20. A method in which you randomly choose one number from 'l' to 'k' and continue to select the kth element
Discrete numerical data
Cluster sampling
Systematic sampling
Stem and leaf plots
21. Create a sample by using data from population members that are readily available
Simple Random Sample
P(A)
Distribution
Convenience sampling
22. Population size
Raw Data
Median
N
Outliers
23. Lowercase sigma; population standard deviaition
Numerical Variable
Ratio
s
p value right tail
24. Type of information - usually a property of characteristic of a person or thing that is measured or observed
H1
Variable
range
Categorical Variable
25. 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
Random Sample or Probability Sample
Sample
S x
Ratio
26. Type II error is measured
Survey
p
Distribution
27. Is the entire collection of all individuals or objects of interest
Designed experiment
Population
Observational study
Range
28. Uses numerical and or visual techniques to summarize or describe the data in a clear effective manner
Population Size
Dot plots
Continuous Data
Descriptive Statistics
29. Sample standard deviation
s
Graph
S x
P(A)
30. A survey that includes every item or individual of the population
Census
Survey
Nominal
The 2 measures of relative standing
31. Sample size or number of trials
n
Center of Distribution
Symmetric Distribution
Statistics
32. Is a sample containing similar characteristics of the population
Statistic (note there is no 's' at the end)
Interval
Self-selected sample
Representative Sample
33. One extreme value can affect it dramatically.
Designed experiment
Bias
The effect of extreme values on the measures of center
Systematic sampling
34. Before they are arranged or analyzed - information or observations are called________.
Raw Data
Outliers
Statistics
Systematic sampling
35. Sample mean
Numerical Variable
Discrete numerical data
x
Distribution
36. 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).
Sample
Discrete Data
Interval
Outlier
37. Is a collection of several data pertaining to one or more variables
Distribution
Symmetric Distribution
Dot plots
Data Set
38. 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
The 3 measures of variation
Statistics
Symmetric Distribution
Range
39. Population variance
range
N
s2
Dependent events
40. Information about individuals in a population
Survey
Self-selected sample
Alpha (a)
Data
41. Sample variance
Designed experiment
Simple random sample
Self-selected sample
s2
42. A numerical quantity measuring some aspect of the population
x
Variable
Representative Sample
Parameter
43. (largest data value) - (smallest data value)
Variable
Outlier
range
Cluster sampling
44. 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
Sampling
Graph
Stem-and-Leaf display
Census
45. A collection of individuals about which we want to draw conclusions
P(A)
Population
Simple random sample
Convenience sampling
46. Alternative hypothesis
S
Sample
Variable
H1
47. Is a sample that has the pertinent characteristics of the population in the same proportion - as they are included in that population
Outlier
Representative Sample
Median
Skewed Distribution
48. For a left tailed test use normalcdf(-999 - ZTS)
p
Numerical Variable
p value left tail
Descriptive Statistics
49. Is a number that describes a characteristic of a population
Census
Skewed Distribution
Parameter
Frequency
50. The number of times each data value occurs
Alpha (a)
Frequency
Ratio
Dependent events
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