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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.
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. Is the process of selecting a portion - or sample - of the entire population
Center of Distribution
p value right tail
Sampling
Descriptive Statistics
2. Double the answer from step 1 or step 2 (on whichever side your test statistics falls).
q
p value two tailed test
Distribution
Statistic
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
Characteristic of a distribution
Strata sampling
Stem-and-Leaf display
Skewed Distribution
4. (largest data value) - (smallest data value)
Census
Exploratory data analysis
Sample Size
range
5. Is a collection of several data pertaining to one or more variables
Sample
Statistic
Interval
Data Set
6. To calculate the percentile take the number of values less than x - divide by total number of values and times by 100.
Raw Data
Interval
Percentile
7. Statistics
Numerical measurement describing some characteristic of a sample.
Parameter
Symmetric Distribution
Convenience sampling
8. A collection of individuals about which we want to draw conclusions
Population
Distribution
What symbol must always be found in H0
p value left tail
9. Test use normalcdf(ZTS -999)
Inferential Statistics
Numerical measurement describing some characteristic of a sample.
p value right tail
Survey
10. A survey that includes every item or individual of the population
s
Interval
Census
Sample Variance
11. Square the standard deviation and to find the population variance square of the population standard deviation
Sample Variance
Variable
The effect of extreme values on the measures of center
The 4 measures of center
12. Range - standard deviation and variance.
H0
N
p
The 3 measures of variation
13. _______________ 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
Sample Variance
Distribution
Parameter
Sample
14. A descriptive tool used to visually describe the characteristics and relationships of collections of data quickly and attractively
Statistics
N
Random Sample or Probability Sample
Graph
15. Members of the population select themselves by volunteering
Pictograph
Ratio
Census
Self-selected sample
16. Standard scores and percentile
The 2 measures of relative standing
Designed experiment
Representative Sample
17. A method of experimentation in which you can control as many variables as possible in order to isolate the effects of a response variable
Frequency histogram
Sample
Designed experiment
Population Size
18. Population is organized into groups (i.e - neighborhoods/departments) - and sampling unit is selected by a simple random sample
Raw Data
Cluster sampling
Convenience sampling
Sample
19. Is the portion of the population that is selected for study
Sampling
Sample
Numerical measurement describing some characteristic of a sample.
Stem-and-Leaf display
20. 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
Variable
Ordinal
Median
Sample Size
21. Alternative hypothesis
H1
H0
Dependent events
22. Sample size or number of trials
n
Simple Random Sample
Numerical Variable
Variable
23. Type of information - usually a property of characteristic of a person or thing that is measured or observed
The 2 measures of relative standing
Range
Variable
Stem and leaf plots
24. A method of data collection in which the objects of study are observed in their natural settings and the variables are recorded
Parameter
Observational study
Categorical Variable
p value left tail
25. 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
Numerical measurement describing some characteristics of a population.
Dependent events
Outlier
Outliers
26. Population size
The 2 measures of relative standing
s
Self-selected sample
N
27. Before they are arranged or analyzed - information or observations are called________.
Ratio
Statistics
Census
Raw Data
28. An efficient method of graphing information using actual amounts: clusters - gaps - outliers are clearly identified.
Stem and leaf plots
Outliers
Ordinal
Inferential Statistics
29. Occur when one does not affect the probability of the occurrence of the other.
Cluster sampling
Independent events
Outliers
P(A)
30. 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
Range
P(A)
Percentile
31. Is the entire collection of all individuals or objects of interest
Continuous Data
Outliers
Population
Sample Size
32. Determine the location of the middle value of all the data values
Sample Size
Center of Distribution
Disjoint event
Ratio
33. 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.
Pictograph
Sampling
Statistic
Numerical measurement describing some characteristics of a population.
34. Create a sample by using data from population members that are readily available
Convenience sampling
Dot plots
s
Statistic
35. 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
Distribution
q
Numerical measurement describing some characteristics of a population.
36. Using graphs and numerical summaries to describe variables in a data set and their relationship
Data
Exploratory data analysis
S x
Survey
37. Collection of information from the whole population
Numerical measurement describing some characteristics of a population.
Data Set
s2
Census
38. Represents categories - and is nonnumerical in nature
Center of Distribution
x
Descriptive Statistics
Categorical Variable
39. A number that is used to describe a characteristic of a sample - such as a sample average - is called a __________.
s
Statistic
Range
H1
40. A quantity calculated from data gathered from a sample- usually used to estimate a population parameter
Sample Variance
Cluster sampling
The 4 measures of center
Statistic
41. 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
The 3 measures of variation
p value right tail
Symmetric Distribution
Statistics
42. For a left tailed test use normalcdf(-999 - ZTS)
Observational study
Categorical Variable
range
p value left tail
43. A method in which you randomly choose one number from 'l' to 'k' and continue to select the kth element
Systematic sampling
Observational study
Skewed Distribution
Data Set
44. The variable value can be represented as isolated points on a number line
Frequency
Dependent events
Discrete numerical data
s2
45. Population proportion
p
N
n
Relative frequency histogram
46. _______________ are numerical measurements that can assume any value between two numbers
Continuous Data
Range
Bias
s2
47. 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).
Distribution
Survey
Interval
Parameter
48. Mean - mode - median and midrange.
Distribution
The 4 measures of center
Statistic
Range
49. Sample proportion
Parameter
p
Independent events
p value right tail
50. To find the range subtract the lowest value by the highest value.
Inferential Statistics
Variable
Range
Sample
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