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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. Parameter
p value left tail
Numerical measurement describing some characteristics of a population.
Census
Center of Distribution
2. _______________ are numerical measurements that can assume any value between two numbers
n
Systematic sampling
Sample Variance
Continuous Data
3. 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
Convenience sampling
Skewed Distribution
Graph
4. Type of information - usually a property of characteristic of a person or thing that is measured or observed
Population Size
Parameter
Representative Sample
Variable
5. Occur when one of them affects the probability of the other.
Discrete Data
Dot plots
Dependent events
Raw Data
6. A method in which you randomly choose one number from 'l' to 'k' and continue to select the kth element
Exploratory data analysis
Symmetric Distribution
Systematic sampling
Range
7. _______________ are numerical values that can assume only a limited number of values
P(A)
Discrete Data
Numerical measurement describing some characteristics of a population.
Convenience sampling
8. Type II error is measured
Numerical measurement describing some characteristic of a sample.
Median
Sampling
9. Population size
Designed experiment
N
Random Sample or Probability Sample
The 4 measures of center
10. A numerical quantity measuring some aspect of the population
p
Data Set
Variable
Parameter
11. Has the same shape and horizontal scale as a histogram - but the vertical scale is marked with relative frequencies instead of actual frequencies
p value left tail
Relative frequency histogram
Observational study
s
12. 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
Data
Stem and leaf plots
Ordinal
The effect of extreme values on the measures of center
13. Before they are arranged or analyzed - information or observations are called________.
Descriptive Statistics
Raw Data
Statistic (note there is no 's' at the end)
n
14. Always use a equal symbol
Representative Sample
What symbol must always be found in H0
Stem-and-Leaf display
15. Collection of information from the whole population
Census
Strata sampling
x
Distribution
16. Is the process of selecting a portion - or sample - of the entire population
Sampling
Sample
Outlier
S x
17. 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
Sample
Census
What symbol must always be found in H0
Symmetric Distribution
18. 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).
P(A)
Convenience sampling
Sample
Interval
19. Sum of the values
range
S x
Population
Disjoint event
20. To divide the population into 2 or more non-overlapping subsets called strata
Ordinal
Strata sampling
Systematic sampling
Population
21. Disjoint events cannot overlap. They are mutually exclusive if they cannot occur at the same time.
Data Set
Representative Sample
Disjoint event
Statistic
22. Square the standard deviation and to find the population variance square of the population standard deviation
Census
Sample
Simple random sample
Sample Variance
23. 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
Cluster sampling
Inferential Statistics
Median
Outlier
24. Range - standard deviation and variance.
The 3 measures of variation
Bias
Statistics
Exploratory data analysis
25. Using graphs and numerical summaries to describe variables in a data set and their relationship
Convenience sampling
Data
s
Exploratory data analysis
26. A method of data collection in which the objects of study are observed in their natural settings and the variables are recorded
s2
P(A)
Sample Size
Observational study
27. Lowercase sigma; population standard deviaition
Numerical measurement describing some characteristic of a sample.
s
Stem-and-Leaf display
Symmetric Distribution
28. Determine the location of the middle value of all the data values
Skewed Distribution
Numerical Variable
Percentile
Center of Distribution
29. Population proportion
Statistic
Population Size
p
30. A method of data collection where the researcher selects a sample from the population and measures the variable of interest
The 4 measures of center
Survey
p
Statistic
31. Occur when one does not affect the probability of the occurrence of the other.
Discrete Data
Simple random sample
Distribution
Independent events
32. Sample size or number of trials
n
Designed experiment
p value two tailed test
33. Is a collection of several data pertaining to one or more variables
Population
Frequency histogram
Data Set
p
34. Information about individuals in a population
Descriptive Statistics
Statistic (note there is no 's' at the end)
q
Data
35. Complement of p
q
The effect of extreme values on the measures of center
Outliers
Skewed Distribution
36. A survey that includes every item or individual of the population
Exploratory data analysis
Characteristic of a distribution
What symbol must always be found in H0
Census
37. Is denoted by 'n' - is the number of data values in the sample
Sample Size
Parameter
p value two tailed test
Discrete Data
38. A collection of individuals about which we want to draw conclusions
Statistics
Variable
Population
Numerical measurement describing some characteristic of a sample.
39. For a left tailed test use normalcdf(-999 - ZTS)
x
p value left tail
Population
Alpha (a)
40. 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
N
Population Size
p value left tail
Random Sample or Probability Sample
41. Sample proportion
Relative frequency histogram
Skewed Distribution
Convenience sampling
p
42. 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
Graph
What symbol must always be found in H0
Ratio
Inferential Statistics
43. The important aspects of the data are called?
Symmetric Distribution
Characteristic of a distribution
Distribution
Descriptive Statistics
44. _______________ 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
Exploratory data analysis
Distribution
Designed experiment
Ratio
45. Standard scores and percentile
q
Ordinal
Numerical Variable
The 2 measures of relative standing
46. Is a sample that has the pertinent characteristics of the population in the same proportion - as they are included in that population
The 3 measures of variation
The effect of extreme values on the measures of center
Characteristic of a distribution
Representative Sample
47. 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
s2
Strata sampling
Statistics
q
48. Is a number that describes a characteristic of a population
Parameter
Sampling
Data
s
49. 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
Stem-and-Leaf display
What symbol must always be found in H0
n
Statistics
50. An individual data value which lies far (above or below) from most or all of the other data values within a distribution
Statistics
Outliers
Interval
Outlier
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