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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
range
Survey
Graph
The 2 measures of relative standing
2. The variable value can be represented as isolated points on a number line
Data Set
Discrete numerical data
Relative frequency histogram
The 3 measures of variation
3. Is denoted by 'n' - is the number of data values in the sample
Statistic
Parameter
Population
Sample Size
4. A flaw in the sampling procedure that makes it more likely that the sample will NOT be representative of population
H1
Bias
p value left tail
Frequency
5. 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
Population
Statistics
Distribution
6. A collection of individuals about which we want to draw conclusions
Population
Frequency histogram
Data Set
7. Is the portion of the population that is selected for study
Dependent events
Sample
Range
Representative Sample
8. Determine the location of the middle value of all the data values
Raw Data
p
Center of Distribution
Parameter
9. 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
Characteristic of a distribution
Discrete Data
Random Sample or Probability Sample
Sample Size
10. Lowercase sigma; population standard deviaition
s
Systematic sampling
s2
The effect of extreme values on the measures of center
11. To calculate the percentile take the number of values less than x - divide by total number of values and times by 100.
Convenience sampling
Percentile
Survey
Categorical Variable
12. Can be used to get an initial graphical view of data
Sample Variance
Census
Stem-and-Leaf display
Dot plots
13. Uses numerical and or visual techniques to summarize or describe the data in a clear effective manner
P(A)
Median
Descriptive Statistics
n
14. A method in which you randomly choose one number from 'l' to 'k' and continue to select the kth element
Systematic sampling
s2
The 4 measures of center
Dot plots
15. (largest data value) - (smallest data value)
Observational study
Survey
range
Disjoint event
16. 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
Median
Distribution
Distribution
17. A numerical quantity measuring some aspect of the population
Systematic sampling
Sampling
H1
Parameter
18. Is a number that describes a characteristic of a sample
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19. Is a number that describes a characteristic of a population
Numerical measurement describing some characteristic of a sample.
Parameter
What symbol must always be found in H0
Observational study
20. 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
N
Symmetric Distribution
Interval
Ratio
21. Population size
Numerical Variable
Graph
N
Center of Distribution
22. 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
Parameter
Continuous Data
Numerical Variable
Statistics
23. Disjoint events cannot overlap. They are mutually exclusive if they cannot occur at the same time.
S
Nominal
Center of Distribution
Disjoint event
24. An efficient method of graphing information using actual amounts: clusters - gaps - outliers are clearly identified.
Raw Data
What symbol must always be found in H0
Stem and leaf plots
Pictograph
25. 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
Raw Data
s2
Statistic
26. 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
Self-selected sample
Statistic
Median
Stem-and-Leaf display
27. Population variance
Numerical measurement describing some characteristics of a population.
Sample Size
Independent events
s2
28. Alternative hypothesis
s
Independent events
H1
Frequency histogram
29. Sample variance
s2
Stem and leaf plots
Graph
q
30. Type of information - usually a property of characteristic of a person or thing that is measured or observed
Random Sample or Probability Sample
Inferential Statistics
Characteristic of a distribution
Variable
31. The level of significance and the probability of a type I error (rejecting a true null hypothesis). The area in the tail or tails of a distribution (z - t - or ?2); in hypothesis testing you don't always have a two tailed distribution as in confidenc
Ordinal
Range
Alpha (a)
Statistic (note there is no 's' at the end)
32. 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
q
Relative frequency histogram
Outliers
p value right tail
33. Collection of information from a sample
s2
Frequency
Survey
Systematic sampling
34. Is the process of selecting a portion - or sample - of the entire population
Population Size
Census
Stem and leaf plots
Sampling
35. 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
S x
Skewed Distribution
Population Size
36. Square the standard deviation and to find the population variance square of the population standard deviation
Census
Simple Random Sample
s
Sample Variance
37. Is a sample of data values selected from a population in such a way that every sample of size 'n' has an equal probability of being selected and every data value of the population has the same chance of being selected for the sample
Designed experiment
Survey
Alpha (a)
Simple Random Sample
38. Sample proportion
Parameter
p
S
Nominal
39. One extreme value can affect it dramatically.
Census
The effect of extreme values on the measures of center
Median
Stem and leaf plots
40. For a left tailed test use normalcdf(-999 - ZTS)
p value left tail
Census
Random Sample or Probability Sample
Continuous Data
41. A survey that includes every item or individual of the population
Frequency
Characteristic of a distribution
Census
Parameter
42. Probability of event A
Disjoint event
Simple Random Sample
P(A)
Ratio
43. 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
Pictograph
Relative frequency histogram
Ordinal
Distribution
44. 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.
Pictograph
Census
Ordinal
Percentile
45. Before they are arranged or analyzed - information or observations are called________.
Systematic sampling
S x
Independent events
Raw Data
46. Information about individuals in a population
Cluster sampling
Data
s
Sampling
47. Sample mean
p value left tail
x
Raw Data
Observational study
48. Capital sigma; summation
Sample
S
N
Characteristic of a distribution
49. A quantity calculated from data gathered from a sample- usually used to estimate a population parameter
Designed experiment
Random Sample or Probability Sample
Statistic
Frequency histogram
50. A subset of the population- it's important to choose a sample at random to avoid bias in the results
Discrete Data
Sample
Simple random sample
Cluster sampling
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