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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. Is denoted by 'n' - is the number of data values in the sample
Numerical measurement describing some characteristic of a sample.
Sample Size
Discrete numerical data
range
2. Square the standard deviation and to find the population variance square of the population standard deviation
Discrete numerical data
Sample Variance
q
x
3. Range - standard deviation and variance.
Self-selected sample
Characteristic of a distribution
The 3 measures of variation
s2
4. Sample size or number of trials
Sample Variance
H1
Inferential Statistics
n
5. Capital sigma; summation
Stem and leaf plots
Ratio
S
Sample
6. Collection of information from a sample
Discrete numerical data
Survey
x
Median
7. 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
Dot plots
Nominal
Parameter
p
8. Population variance
The 4 measures of center
Survey
Census
s2
9. A collection of individuals about which we want to draw conclusions
Population
Stem and leaf plots
Statistic
P(A)
10. Null hypothesis
Parameter
H0
Graph
11. Standard scores and percentile
Bias
The 2 measures of relative standing
Frequency
Disjoint event
12. 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
s
Simple random sample
Continuous Data
13. An individual data value which lies far (above or below) from most or all of the other data values within a distribution
Outlier
S
Descriptive Statistics
p value right tail
14. A method of experimentation in which you can control as many variables as possible in order to isolate the effects of a response variable
Systematic sampling
Designed experiment
Frequency
N
15. A survey that includes every item or individual of the population
The 4 measures of center
Census
Skewed Distribution
Numerical measurement describing some characteristic of a sample.
16. An efficient method of graphing information using actual amounts: clusters - gaps - outliers are clearly identified.
p value right tail
Parameter
Sample
Stem and leaf plots
17. Type of bar graph that shows frequency distributions
Frequency histogram
Statistics
Survey
Outlier
18. Sample proportion
S x
p
Observational study
Distribution
19. When the distribution of the data values greater than the center of the display - and the data values less than the center of the display are mirror images of each other
H1
Symmetric Distribution
Disjoint event
Census
20. Parameter
q
x
Numerical measurement describing some characteristics of a population.
Observational study
21. 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
Relative frequency histogram
H1
Ratio
s
22. Test use normalcdf(ZTS -999)
Discrete numerical data
p value right tail
Parameter
Designed experiment
23. _______________ of a numerical variable represents the data values of the variable from the lowest to the highest value along with the number of times each data value occurs
Survey
Interval
Ordinal
Distribution
24. Is the entire collection of all individuals or objects of interest
Population
The 3 measures of variation
Frequency
P(A)
25. 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
Cluster sampling
Discrete Data
What symbol must always be found in H0
Random Sample or Probability Sample
26. A method in which you randomly choose one number from 'l' to 'k' and continue to select the kth element
H0
Systematic sampling
N
Pictograph
27. The variable value can be represented as isolated points on a number line
p value two tailed test
Parameter
Parameter
Discrete numerical data
28. A numerical quantity measuring some aspect of the population
Strata sampling
Convenience sampling
Parameter
Stem-and-Leaf display
29. Alternative hypothesis
Data
H1
Bias
Exploratory data analysis
30. _______________ are numerical values that can assume only a limited number of values
Sample
Dependent events
Discrete Data
Graph
31. Create a sample by using data from population members that are readily available
Convenience sampling
Graph
Parameter
Sample
32. Sample standard deviation
Percentile
s
Characteristic of a distribution
Sample Variance
33. Mu; population mean
Ordinal
Alpha (a)
Outliers
34. Disjoint events cannot overlap. They are mutually exclusive if they cannot occur at the same time.
Nominal
H0
Disjoint event
Ordinal
35. A method of data collection where the researcher selects a sample from the population and measures the variable of interest
Ratio
Representative Sample
s2
Survey
36. 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
H0
Stem-and-Leaf display
Range
Numerical measurement describing some characteristic of a sample.
37. One extreme value can affect it dramatically.
Sampling
p value two tailed test
The effect of extreme values on the measures of center
s2
38. The number of times each data value occurs
Range
Statistics
Frequency
Self-selected sample
39. Has the same shape and horizontal scale as a histogram - but the vertical scale is marked with relative frequencies instead of actual frequencies
Relative frequency histogram
Sample Size
Range
Simple Random Sample
40. Represents categories - and is nonnumerical in nature
Statistic
Descriptive Statistics
Categorical Variable
41. 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
The 3 measures of variation
Convenience sampling
Outliers
p value right tail
42. Sample mean
S
x
Numerical measurement describing some characteristic of a sample.
Data
43. _______________ are numerical measurements that can assume any value between two numbers
Continuous Data
Strata sampling
Center of Distribution
Range
44. Population proportion
p
Sample Size
What symbol must always be found in H0
Cluster sampling
45. For a left tailed test use normalcdf(-999 - ZTS)
p value left tail
Parameter
Disjoint event
Pictograph
46. Sum of the values
Population Size
S x
Frequency histogram
Strata sampling
47. To divide the population into 2 or more non-overlapping subsets called strata
Interval
Center of Distribution
Strata sampling
s
48. To find the range subtract the lowest value by the highest value.
Range
The 2 measures of relative standing
Sample Size
s
49. Probability of event A
Representative Sample
n
P(A)
Numerical Variable
50. Is a number that describes a characteristic of a population
Categorical Variable
N
S
Parameter