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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. Mean - mode - median and midrange.
Range
Disjoint event
The 4 measures of center
H0
2. To divide the population into 2 or more non-overlapping subsets called strata
Statistic (note there is no 's' at the end)
p value two tailed test
Strata sampling
Numerical Variable
3. Is a number that describes a characteristic of a population
Symmetric Distribution
Parameter
Raw Data
H1
4. An efficient method of graphing information using actual amounts: clusters - gaps - outliers are clearly identified.
Distribution
Skewed Distribution
Parameter
Stem and leaf plots
5. Before they are arranged or analyzed - information or observations are called________.
Parameter
Distribution
Raw Data
Pictograph
6. Is the entire collection of all individuals or objects of interest
Simple Random Sample
Independent events
Population
Descriptive Statistics
7. A number that is used to describe a characteristic of a sample - such as a sample average - is called a __________.
Strata sampling
Population Size
Relative frequency histogram
Statistic
8. 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
Pictograph
Statistics
Ordinal
Designed experiment
9. Range - standard deviation and variance.
S
The 3 measures of variation
Pictograph
Census
10. To find the range subtract the lowest value by the highest value.
Sample Size
Representative Sample
Range
Raw Data
11. Occur when one of them affects the probability of the other.
The 4 measures of center
Sample Variance
Representative Sample
Dependent events
12. Test use normalcdf(ZTS -999)
p value right tail
Simple random sample
Representative Sample
Statistic
13. A numerical quantity measuring some aspect of the population
Parameter
Random Sample or Probability Sample
The 2 measures of relative standing
Exploratory data analysis
14. 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
Survey
s
Strata sampling
Outliers
15. A flaw in the sampling procedure that makes it more likely that the sample will NOT be representative of population
Bias
Cluster sampling
Range
The effect of extreme values on the measures of center
16. Sample variance
s2
Pictograph
Center of Distribution
Range
17. Type of information - usually a property of characteristic of a person or thing that is measured or observed
Random Sample or Probability Sample
Variable
Distribution
Census
18. Is a sample containing similar characteristics of the population
Data
N
Representative Sample
q
19. Is denoted by 'n' - is the number of data values in the sample
Frequency
Statistic
Sample Size
Convenience sampling
20. 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
Random Sample or Probability Sample
Designed experiment
S
The 4 measures of center
21. Disjoint events cannot overlap. They are mutually exclusive if they cannot occur at the same time.
Disjoint event
Independent events
Census
Skewed Distribution
22. Members of the population select themselves by volunteering
Median
s2
Range
Self-selected sample
23. Statistics
N
Numerical measurement describing some characteristic of a sample.
The effect of extreme values on the measures of center
Symmetric Distribution
24. Standard scores and percentile
Sample Size
Variable
Ratio
The 2 measures of relative standing
25. Can be used to get an initial graphical view of data
Categorical Variable
Statistic
Designed experiment
Dot plots
26. Population size
Statistics
N
Simple random sample
Distribution
27. Type of bar graph that shows frequency distributions
Nominal
Numerical Variable
Center of Distribution
Frequency histogram
28. Is the portion of the population that is selected for study
Sample
The 4 measures of center
Pictograph
Ratio
29. Population is organized into groups (i.e - neighborhoods/departments) - and sampling unit is selected by a simple random sample
Cluster sampling
Sample
Discrete numerical data
s
30. Occur when one does not affect the probability of the occurrence of the other.
Random Sample or Probability Sample
Independent events
Alpha (a)
p value two tailed test
31. Always use a equal symbol
Interval
What symbol must always be found in H0
Bias
s2
32. Complement of p
Data
The 2 measures of relative standing
Random Sample or Probability Sample
q
33. A collection of individuals about which we want to draw conclusions
Interval
Population
Raw Data
Population Size
34. Variable where the value is a number that results from a measurement process - also called numerical data
Discrete Data
Parameter
Numerical Variable
Representative Sample
35. Lowercase sigma; population standard deviaition
Alpha (a)
Designed experiment
Outlier
s
36. Alternative hypothesis
H1
p value two tailed test
Dependent events
q
37. Population proportion
p
Representative Sample
The effect of extreme values on the measures of center
Independent events
38. A subset of the population- it's important to choose a sample at random to avoid bias in the results
Systematic sampling
Stem-and-Leaf display
Sample
s
39. Using graphs and numerical summaries to describe variables in a data set and their relationship
P(A)
Data
Inferential Statistics
Exploratory data analysis
40. 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
Dot plots
Data
Ratio
n
41. Probability of event A
P(A)
Population
Distribution
Systematic sampling
42. An individual data value which lies far (above or below) from most or all of the other data values within a distribution
Outlier
Bias
p value right tail
The 3 measures of variation
43. 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
Census
Simple Random Sample
Numerical measurement describing some characteristics of a population.
Sampling
44. Determine the location of the middle value of all the data values
Center of Distribution
Numerical measurement describing some characteristics of a population.
Percentile
Dot plots
45. Is a number that describes a characteristic of a sample
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46. Collection of information from the whole population
The 4 measures of center
q
Bias
Census
47. Has the same shape and horizontal scale as a histogram - but the vertical scale is marked with relative frequencies instead of actual frequencies
The 3 measures of variation
Data Set
Relative frequency histogram
Parameter
48. 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).
Interval
Discrete Data
What symbol must always be found in H0
Numerical measurement describing some characteristic of a sample.
49. Mu; population mean
Convenience sampling
Statistic
p value left tail
50. Is denoted by 'N' - is the number of data values in the population
Outliers
Population Size
x
Data Set