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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. Sum of the values
S x
The 2 measures of relative standing
Dot plots
Graph
2. A survey that includes every item or individual of the population
Data
Continuous Data
Self-selected sample
Census
3. Probability of event A
Cluster sampling
P(A)
The 4 measures of center
Statistic (note there is no 's' at the end)
4. Population proportion
p
Characteristic of a distribution
The 4 measures of center
N
5. Parameter
s
Numerical measurement describing some characteristics of a population.
Stem-and-Leaf display
Representative Sample
6. Statistics
S
Numerical measurement describing some characteristic of a sample.
Simple Random Sample
Distribution
7. Double the answer from step 1 or step 2 (on whichever side your test statistics falls).
Distribution
p value right tail
N
p value two tailed test
8. Sample standard deviation
H0
s
Ordinal
Survey
9. A descriptive tool used to visually describe the characteristics and relationships of collections of data quickly and attractively
Parameter
p value two tailed test
Survey
Graph
10. Using graphs and numerical summaries to describe variables in a data set and their relationship
Exploratory data analysis
Survey
p
Simple Random Sample
11. 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
Skewed Distribution
Median
Data
12. Create a sample by using data from population members that are readily available
Frequency
Convenience sampling
H1
Range
13. To find the range subtract the lowest value by the highest value.
Frequency
Sample Size
Categorical Variable
Range
14. Standard scores and percentile
p value left tail
Strata sampling
Simple Random Sample
The 2 measures of relative standing
15. Is the entire collection of all individuals or objects of interest
Stem and leaf plots
Population
Exploratory data analysis
Center of Distribution
16. 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
Self-selected sample
Random Sample or Probability Sample
s
Independent events
17. Mu; population mean
Stem and leaf plots
Parameter
Discrete numerical data
18. Square the standard deviation and to find the population variance square of the population standard deviation
Sample Variance
Sample Size
Inferential Statistics
19. _______________ are numerical values that can assume only a limited number of values
x
Pictograph
Population
Discrete Data
20. Test use normalcdf(ZTS -999)
Statistic
Range
p value right tail
Representative Sample
21. An individual data value which lies far (above or below) from most or all of the other data values within a distribution
Outlier
Variable
Sampling
s2
22. The variable value can be represented as isolated points on a number line
p
Discrete Data
p value right tail
Discrete numerical data
23. The important aspects of the data are called?
Characteristic of a distribution
Survey
Data
Cluster sampling
24. Collection of information from a sample
Percentile
Survey
Symmetric Distribution
s
25. (largest data value) - (smallest data value)
Designed experiment
H1
range
Graph
26. Sample variance
Independent events
p value left tail
s2
Inferential Statistics
27. Population is organized into groups (i.e - neighborhoods/departments) - and sampling unit is selected by a simple random sample
Numerical measurement describing some characteristic of a sample.
Frequency
Sample Variance
Cluster sampling
28. 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
H0
Percentile
29. 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
n
Numerical Variable
The effect of extreme values on the measures of center
Outliers
30. Occur when one does not affect the probability of the occurrence of the other.
Population Size
Statistic
Numerical measurement describing some characteristic of a sample.
Independent events
31. A method in which each combination of people has an equal chance of being selected- the sample is representative of the population and is independent
Simple random sample
Parameter
H1
n
32. Always use a equal symbol
What symbol must always be found in H0
Range
Descriptive Statistics
Discrete Data
33. Type II error is measured
s2
Dot plots
Interval
34. Before they are arranged or analyzed - information or observations are called________.
Dot plots
Census
Raw Data
Ordinal
35. Type of bar graph that shows frequency distributions
Disjoint event
Frequency histogram
Independent events
Categorical Variable
36. 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
S
Dot plots
Strata sampling
Ordinal
37. Is the process of selecting a portion - or sample - of the entire population
Bias
Sampling
p value right tail
Parameter
38. Alternative hypothesis
H1
Inferential Statistics
What symbol must always be found in H0
Ratio
39. 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
Survey
Representative Sample
Pictograph
Median
40. A numerical quantity measuring some aspect of the population
Systematic sampling
p value right tail
Parameter
The effect of extreme values on the measures of center
41. Sample proportion
p
Observational study
range
Median
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
Numerical measurement describing some characteristic of a sample.
The 2 measures of relative standing
The effect of extreme values on the measures of center
Ratio
43. Variable where the value is a number that results from a measurement process - also called numerical data
Independent events
Strata sampling
Numerical Variable
Sample
44. Is the process of using SAMPLE INFORMATION to draw inferences or conclusions about the POPULATION
Inferential Statistics
x
H0
Dependent events
45. A method in which you randomly choose one number from 'l' to 'k' and continue to select the kth element
Systematic sampling
p
H1
Designed experiment
46. Population size
N
s
Range
Sampling
47. To calculate the percentile take the number of values less than x - divide by total number of values and times by 100.
Percentile
s
Census
Independent events
48. Sample size or number of trials
Numerical measurement describing some characteristics of a population.
Designed experiment
n
The 4 measures of center
49. 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).
Numerical measurement describing some characteristic of a sample.
Range
Sampling
Interval
50. Determine the location of the middle value of all the data values
The 2 measures of relative standing
The effect of extreme values on the measures of center
Center of Distribution
Exploratory data analysis