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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. 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
Sample
Outliers
Descriptive Statistics
q
2. A method of data collection where the researcher selects a sample from the population and measures the variable of interest
Characteristic of a distribution
Survey
Discrete Data
Skewed Distribution
3. Always use a equal symbol
The 2 measures of relative standing
Relative frequency histogram
Statistic
What symbol must always be found in H0
4. Population size
S x
N
Statistics
H0
5. Square the standard deviation and to find the population variance square of the population standard deviation
Stem and leaf plots
s2
Sample Variance
Population Size
6. Create a sample by using data from population members that are readily available
Convenience sampling
Categorical Variable
Random Sample or Probability Sample
Simple random sample
7. Before they are arranged or analyzed - information or observations are called________.
Raw Data
Outliers
Sample
The 3 measures of variation
8. Is the process of selecting a portion - or sample - of the entire population
Simple random sample
Outliers
Sampling
Bias
9. Is denoted by 'N' - is the number of data values in the population
Disjoint event
Population Size
Data
Inferential Statistics
10. Is a collection of several data pertaining to one or more variables
p
Stem-and-Leaf display
Data Set
Parameter
11. Capital sigma; summation
Self-selected sample
Statistic
p value left tail
S
12. A method of experimentation in which you can control as many variables as possible in order to isolate the effects of a response variable
Observational study
Sample
Designed experiment
p value left tail
13. 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
Distribution
Continuous Data
The 3 measures of variation
Stem-and-Leaf display
14. Population variance
s2
Sample
Frequency histogram
Symmetric Distribution
15. Sample proportion
Ordinal
p
Center of Distribution
16. 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
x
Symmetric Distribution
Simple Random Sample
p
17. Determine the location of the middle value of all the data values
x
Descriptive Statistics
Center of Distribution
Strata sampling
18. Parameter
Numerical measurement describing some characteristics of a population.
Sample Size
Designed experiment
Graph
19. A flaw in the sampling procedure that makes it more likely that the sample will NOT be representative of population
Bias
Cluster sampling
Raw Data
Frequency histogram
20. Sum of the values
Stem-and-Leaf display
Survey
Convenience sampling
S x
21. 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).
Survey
Interval
Self-selected sample
Statistics
22. To divide the population into 2 or more non-overlapping subsets called strata
Distribution
Relative frequency histogram
P(A)
Strata sampling
23. 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
Percentile
Outlier
Sample Variance
Skewed Distribution
24. Information about individuals in a population
Dependent events
s
Data
N
25. Using graphs and numerical summaries to describe variables in a data set and their relationship
Simple Random Sample
Exploratory data analysis
P(A)
p value two tailed test
26. A quantity calculated from data gathered from a sample- usually used to estimate a population parameter
Dependent events
Skewed Distribution
Continuous Data
Statistic
27. Disjoint events cannot overlap. They are mutually exclusive if they cannot occur at the same time.
Pictograph
Variable
Disjoint event
Census
28. 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
p value left tail
Simple Random Sample
Census
Interval
29. Uses numerical and or visual techniques to summarize or describe the data in a clear effective manner
Statistic (note there is no 's' at the end)
Characteristic of a distribution
Descriptive Statistics
Stem-and-Leaf display
30. An efficient method of graphing information using actual amounts: clusters - gaps - outliers are clearly identified.
Center of Distribution
Numerical Variable
p
Stem and leaf plots
31. Lowercase sigma; population standard deviaition
Exploratory data analysis
Dot plots
s
Numerical Variable
32. For a left tailed test use normalcdf(-999 - ZTS)
Frequency
p value left tail
Categorical Variable
Population Size
33. Type II error is measured
Pictograph
Representative Sample
P(A)
34. Standard scores and percentile
The 2 measures of relative standing
P(A)
x
Representative Sample
35. Members of the population select themselves by volunteering
Self-selected sample
s
Disjoint event
Exploratory data analysis
36. Can be used to get an initial graphical view of data
Dot plots
The 3 measures of variation
P(A)
Strata sampling
37. A method of data collection in which the objects of study are observed in their natural settings and the variables are recorded
Observational study
Survey
Pictograph
s2
38. Is the process of using SAMPLE INFORMATION to draw inferences or conclusions about the POPULATION
s
Inferential Statistics
Descriptive Statistics
Sample Size
39. To find the range subtract the lowest value by the highest value.
N
Numerical measurement describing some characteristics of a population.
Percentile
Range
40. Mean - mode - median and midrange.
Sampling
Survey
The 4 measures of center
Frequency
41. Is the portion of the population that is selected for study
Percentile
Sample
Strata sampling
Statistic
42. Mu; population mean
Interval
s
Frequency histogram
43. Collection of information from a sample
Variable
Raw Data
Survey
Descriptive Statistics
44. 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
Nominal
What symbol must always be found in H0
Systematic sampling
Categorical Variable
45. A number that is used to describe a characteristic of a sample - such as a sample average - is called a __________.
Numerical measurement describing some characteristics of a population.
Statistic
N
46. Complement of p
Numerical measurement describing some characteristics of a population.
q
p value right tail
Observational study
47. Type of information - usually a property of characteristic of a person or thing that is measured or observed
Convenience sampling
S
Dependent events
Variable
48. Occur when one does not affect the probability of the occurrence of the other.
Population
N
Sample Size
Independent events
49. _______________ are numerical values that can assume only a limited number of values
s2
Numerical measurement describing some characteristics of a population.
Discrete Data
50. Population is organized into groups (i.e - neighborhoods/departments) - and sampling unit is selected by a simple random sample
Population
Representative Sample
Exploratory data analysis
Cluster sampling