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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 the process of using SAMPLE INFORMATION to draw inferences or conclusions about the POPULATION
Distribution
Categorical Variable
The effect of extreme values on the measures of center
Inferential Statistics
2. The number of times each data value occurs
Frequency
Raw Data
Stem-and-Leaf display
Relative frequency histogram
3. Population proportion
S
Percentile
Population
p
4. One extreme value can affect it dramatically.
Sample Variance
Bias
The effect of extreme values on the measures of center
p value two tailed test
5. Occur when one of them affects the probability of the other.
Stem-and-Leaf display
Discrete numerical data
Dependent events
Sample
6. _______________ 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
The effect of extreme values on the measures of center
Simple Random Sample
Numerical measurement describing some characteristic of a sample.
Distribution
7. Is the process of selecting a portion - or sample - of the entire population
Sampling
Categorical Variable
Representative Sample
Outliers
8. Range - standard deviation and variance.
H1
The 3 measures of variation
Discrete numerical data
p value right tail
9. Sample proportion
Dot plots
s
p
S
10. A method of data collection where the researcher selects a sample from the population and measures the variable of interest
Survey
Sample
The 2 measures of relative standing
p
11. Alternative hypothesis
H1
Numerical measurement describing some characteristic of a sample.
Census
Relative frequency histogram
12. Standard scores and percentile
Data Set
The 2 measures of relative standing
Statistic (note there is no 's' at the end)
Ordinal
13. Occur when one does not affect the probability of the occurrence of the other.
Pictograph
Graph
Independent events
14. Before they are arranged or analyzed - information or observations are called________.
Random Sample or Probability Sample
Raw Data
Simple Random Sample
Numerical measurement describing some characteristic of a sample.
15. _______________ are numerical values that can assume only a limited number of values
Numerical Variable
H1
Continuous Data
Discrete Data
16. Create a sample by using data from population members that are readily available
p
Convenience sampling
Sample Size
S x
17. To divide the population into 2 or more non-overlapping subsets called strata
x
Statistics
Strata sampling
Percentile
18. Collection of information from the whole population
Simple random sample
Census
Center of Distribution
Outlier
19. Sample mean
p value left tail
Sample Size
x
Sample
20. Disjoint events cannot overlap. They are mutually exclusive if they cannot occur at the same time.
Disjoint event
Descriptive Statistics
Numerical measurement describing some characteristics of a population.
Census
21. 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
Statistics
p value right tail
s
Statistic (note there is no 's' at the end)
22. Is the portion of the population that is selected for study
Sample Variance
Sample
Bias
Data Set
23. Is a sample containing similar characteristics of the population
Median
Variable
Representative Sample
The effect of extreme values on the measures of center
24. Determine the location of the middle value of all the data values
q
Simple Random Sample
Center of Distribution
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
The 4 measures of center
Random Sample or Probability Sample
Ordinal
Independent events
26. For a left tailed test use normalcdf(-999 - ZTS)
Survey
Graph
Parameter
p value left tail
27. A number that is used to describe a characteristic of a sample - such as a sample average - is called a __________.
Sample Variance
Numerical Variable
Census
Statistic
28. Is denoted by 'N' - is the number of data values in the population
Discrete Data
Stem and leaf plots
Population Size
Survey
29. 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
Continuous Data
Simple Random Sample
Ratio
Population
30. Type of bar graph that shows frequency distributions
Independent events
Convenience sampling
Inferential Statistics
Frequency histogram
31. Null hypothesis
Distribution
H0
Simple random sample
Representative Sample
32. Population variance
What symbol must always be found in H0
s2
Representative Sample
Stem-and-Leaf display
33. Square the standard deviation and to find the population variance square of the population standard deviation
Inferential Statistics
Sample Variance
Continuous Data
34. A numerical quantity measuring some aspect of the population
Parameter
Systematic sampling
Relative frequency histogram
Statistic (note there is no 's' at the end)
35. A descriptive tool used to visually describe the characteristics and relationships of collections of data quickly and attractively
Exploratory data analysis
Strata sampling
Stem-and-Leaf display
Graph
36. To find the range subtract the lowest value by the highest value.
Range
Ordinal
Population
Alpha (a)
37. Sample standard deviation
The 3 measures of variation
Center of Distribution
s
Observational study
38. Is a sample that has the pertinent characteristics of the population in the same proportion - as they are included in that population
Statistic (note there is no 's' at the end)
Parameter
Representative Sample
39. A collection of individuals about which we want to draw conclusions
Systematic sampling
Data
Population
Statistic (note there is no 's' at the end)
40. Information about individuals in a population
Data
p value left tail
s2
Frequency histogram
41. A flaw in the sampling procedure that makes it more likely that the sample will NOT be representative of population
p
Representative Sample
Bias
Stem and leaf plots
42. Is the entire collection of all individuals or objects of interest
Population
range
Interval
Disjoint event
43. Variable where the value is a number that results from a measurement process - also called numerical data
s2
Numerical Variable
Categorical Variable
p value left tail
44. The pattern of variation of data. The distribution may be described as symmetrical - positively skewed - or negatively skewed
Distribution
Variable
Pictograph
Inferential Statistics
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
Numerical measurement describing some characteristic of a sample.
Stem-and-Leaf display
Strata sampling
n
46. Mean - mode - median and midrange.
The 4 measures of center
S
Characteristic of a distribution
Census
47. Is a collection of several data pertaining to one or more variables
Stem and leaf plots
The effect of extreme values on the measures of center
Data Set
Statistic
48. Type II error is measured
Representative Sample
Variable
Sample Size
49. A quantity calculated from data gathered from a sample- usually used to estimate a population parameter
Percentile
s
Statistic
Statistic (note there is no 's' at the end)
50. 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
p value left tail
Skewed Distribution
Inferential Statistics