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Test your basic knowledge |
DSST Intro To Statistics
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Subjects
:
dsst
,
statistics
Instructions:
Answer 50 questions in 15 minutes.
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.
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. Collection of information from the whole population
Census
p value right tail
H0
Designed experiment
2. Before they are arranged or analyzed - information or observations are called________.
Population Size
Raw Data
Representative Sample
Symmetric Distribution
3. Is a number that describes a characteristic of a sample
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4. Is the process of using SAMPLE INFORMATION to draw inferences or conclusions about the POPULATION
Inferential Statistics
Bias
Categorical Variable
5. Is denoted by 'n' - is the number of data values in the sample
The 3 measures of variation
Distribution
Continuous Data
Sample Size
6. To divide the population into 2 or more non-overlapping subsets called strata
range
Interval
Strata sampling
Continuous Data
7. Uses numerical and or visual techniques to summarize or describe the data in a clear effective manner
Stem-and-Leaf display
Descriptive Statistics
s
Exploratory data analysis
8. Double the answer from step 1 or step 2 (on whichever side your test statistics falls).
Census
p value two tailed test
Statistics
q
9. Occur when one of them affects the probability of the other.
Continuous Data
x
Outliers
Dependent events
10. To find the range subtract the lowest value by the highest value.
Population
s2
Systematic sampling
Range
11. A flaw in the sampling procedure that makes it more likely that the sample will NOT be representative of population
Interval
Discrete numerical data
Bias
Disjoint event
12. 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
Representative Sample
Sampling
Outliers
p value right tail
13. Type II error is measured
q
Outliers
H0
14. Sample variance
The effect of extreme values on the measures of center
Stem-and-Leaf display
s2
Sample Variance
15. Always use a equal symbol
Independent events
Census
s2
What symbol must always be found in H0
16. A method of experimentation in which you can control as many variables as possible in order to isolate the effects of a response variable
Discrete numerical data
Designed experiment
Self-selected sample
Population
17. The important aspects of the data are called?
Characteristic of a distribution
What symbol must always be found in H0
Parameter
Statistic
18. 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
N
Simple Random Sample
Data Set
Statistic
19. The pattern of variation of data. The distribution may be described as symmetrical - positively skewed - or negatively skewed
The 2 measures of relative standing
Distribution
Nominal
Survey
20. For a left tailed test use normalcdf(-999 - ZTS)
s
p
p value left tail
Pictograph
21. Is the process of selecting a portion - or sample - of the entire population
Dot plots
Stem and leaf plots
Sampling
Systematic sampling
22. Is the portion of the population that is selected for study
Convenience sampling
Simple random sample
Sample
Range
23. Information about individuals in a population
Data
Sample
Percentile
Data Set
24. Alternative hypothesis
Numerical Variable
Percentile
Representative Sample
H1
25. 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
What symbol must always be found in H0
Symmetric Distribution
H1
Discrete Data
26. Type of bar graph that shows frequency distributions
Numerical Variable
Frequency histogram
Ordinal
s
27. Represents categories - and is nonnumerical in nature
Continuous Data
Categorical Variable
Representative Sample
N
28. Parameter
Population
Symmetric Distribution
Numerical measurement describing some characteristics of a population.
29. Is a collection of several data pertaining to one or more variables
Range
Bias
Data Set
Statistic
30. Sample size or number of trials
Bias
n
Random Sample or Probability Sample
Parameter
31. A method in which you randomly choose one number from 'l' to 'k' and continue to select the kth element
Cluster sampling
Systematic sampling
s2
Distribution
32. (largest data value) - (smallest data value)
Relative frequency histogram
range
The 4 measures of center
q
33. Population is organized into groups (i.e - neighborhoods/departments) - and sampling unit is selected by a simple random sample
Ratio
Independent events
Systematic sampling
Cluster sampling
34. 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
Relative frequency histogram
Graph
Stem-and-Leaf display
Percentile
35. Lowercase sigma; population standard deviaition
s
Outliers
Survey
What symbol must always be found in H0
36. Statistics
Systematic sampling
Distribution
Numerical measurement describing some characteristic of a sample.
Continuous Data
37. A subset of the population- it's important to choose a sample at random to avoid bias in the results
Sample
Nominal
Skewed Distribution
s2
38. The number of times each data value occurs
s2
Continuous Data
Frequency
39. A descriptive tool used to visually describe the characteristics and relationships of collections of data quickly and attractively
Population
Graph
Variable
Statistic (note there is no 's' at the end)
40. Is a sample that has the pertinent characteristics of the population in the same proportion - as they are included in that population
Distribution
Representative Sample
Simple Random Sample
s
41. Disjoint events cannot overlap. They are mutually exclusive if they cannot occur at the same time.
p
Parameter
Disjoint event
n
42. Sample mean
Characteristic of a distribution
Population
x
Percentile
43. Capital sigma; summation
Graph
S
Random Sample or Probability Sample
Simple Random Sample
44. Graph involving pictures of objects in which the size of the object in which the size of the object in the picture represents the relative size of the quantity being represented by the object.
Interval
range
Pictograph
Inferential Statistics
45. A method of data collection in which the objects of study are observed in their natural settings and the variables are recorded
Systematic sampling
p
Observational study
Stem-and-Leaf display
46. Variable where the value is a number that results from a measurement process - also called numerical data
Numerical Variable
Representative Sample
Frequency histogram
47. Occur when one does not affect the probability of the occurrence of the other.
H1
Independent events
Raw Data
n
48. 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
What symbol must always be found in H0
The 2 measures of relative standing
Statistics
s2
49. Using graphs and numerical summaries to describe variables in a data set and their relationship
Exploratory data analysis
Stem-and-Leaf display
Center of Distribution
s
50. Sum of the values
Sampling
H1
S x
Distribution
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