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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. The important aspects of the data are called?
Center of Distribution
p
S
Characteristic of a distribution
2. Test use normalcdf(ZTS -999)
Census
Distribution
p value right tail
Random Sample or Probability Sample
3. A subset of the population- it's important to choose a sample at random to avoid bias in the results
Distribution
Census
Sample
Cluster sampling
4. 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
p
What symbol must always be found in H0
Symmetric Distribution
Variable
5. Is denoted by 'n' - is the number of data values in the sample
Sample Variance
H1
Sample Size
Nominal
6. Probability of event A
P(A)
p
Outliers
p value right tail
7. A method of experimentation in which you can control as many variables as possible in order to isolate the effects of a response variable
Designed experiment
range
Inferential Statistics
8. Sample standard deviation
Distribution
s
p value right tail
9. For a left tailed test use normalcdf(-999 - ZTS)
The effect of extreme values on the measures of center
Bias
Inferential Statistics
p value left tail
10. Standard scores and percentile
The 2 measures of relative standing
Simple Random Sample
Systematic sampling
11. A descriptive tool used to visually describe the characteristics and relationships of collections of data quickly and attractively
The 4 measures of center
Discrete numerical data
Graph
Cluster sampling
12. _______________ are numerical values that can assume only a limited number of values
P(A)
p value two tailed test
Discrete Data
Characteristic of a distribution
13. Create a sample by using data from population members that are readily available
Parameter
p
Discrete Data
Convenience sampling
14. The number of times each data value occurs
Distribution
Exploratory data analysis
Continuous Data
Frequency
15. Sample variance
Skewed Distribution
Outliers
Statistics
s2
16. 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
Sample Size
Stem-and-Leaf display
Cluster sampling
Data
17. Information about individuals in a population
Graph
Numerical measurement describing some characteristics of a population.
Data
Ratio
18. Type II error is measured
Designed experiment
q
S
19. Type of bar graph that shows frequency distributions
Data
Inferential Statistics
Frequency histogram
Discrete Data
20. Is the entire collection of all individuals or objects of interest
Ratio
Population
Median
p
21. Complement of p
What symbol must always be found in H0
Parameter
q
Median
22. Statistics
q
The 2 measures of relative standing
Numerical measurement describing some characteristic of a sample.
x
23. The level of significance and the probability of a type I error (rejecting a true null hypothesis). The area in the tail or tails of a distribution (z - t - or ?2); in hypothesis testing you don't always have a two tailed distribution as in confidenc
Population
Sampling
s2
Alpha (a)
24. Variable where the value is a number that results from a measurement process - also called numerical data
Numerical Variable
Data Set
Observational study
The effect of extreme values on the measures of center
25. Mean - mode - median and midrange.
Stem and leaf plots
The 4 measures of center
Sampling
Simple random sample
26. 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
Variable
n
Stem and leaf plots
Outliers
27. A method of data collection where the researcher selects a sample from the population and measures the variable of interest
Parameter
Survey
Representative Sample
Numerical Variable
28. Alternative hypothesis
Range
Simple random sample
H1
Convenience sampling
29. 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
Ordinal
The 3 measures of variation
Parameter
Sample Variance
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
Distribution
Convenience sampling
Census
Random Sample or Probability Sample
31. 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
Skewed Distribution
N
s
Data
32. Population variance
Parameter
p value right tail
Median
s2
33. 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
Categorical Variable
Simple Random Sample
Parameter
Ratio
34. Is the portion of the population that is selected for study
Ratio
Sample
Population Size
Independent events
35. Capital sigma; summation
Distribution
Statistics
p
S
36. Mu; population mean
S
Characteristic of a distribution
Inferential Statistics
37. To calculate the percentile take the number of values less than x - divide by total number of values and times by 100.
Percentile
Strata sampling
Statistic
Raw Data
38. The variable value can be represented as isolated points on a number line
Numerical Variable
What symbol must always be found in H0
Discrete numerical data
Independent events
39. A method in which you randomly choose one number from 'l' to 'k' and continue to select the kth element
Representative Sample
Dot plots
Systematic sampling
Dependent events
40. Type of information - usually a property of characteristic of a person or thing that is measured or observed
What symbol must always be found in H0
Distribution
Distribution
Variable
41. Is a number that describes a characteristic of a sample
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42. A flaw in the sampling procedure that makes it more likely that the sample will NOT be representative of population
range
Census
Bias
Relative frequency histogram
43. Members of the population select themselves by volunteering
Survey
H1
Self-selected sample
44. Range - standard deviation and variance.
P(A)
Numerical measurement describing some characteristic of a sample.
Survey
The 3 measures of variation
45. Is a sample that has the pertinent characteristics of the population in the same proportion - as they are included in that population
Alpha (a)
Observational study
Strata sampling
Representative Sample
46. A number that is used to describe a characteristic of a sample - such as a sample average - is called a __________.
Population Size
Statistic
x
Convenience sampling
47. To find the range subtract the lowest value by the highest value.
Ratio
Distribution
Bias
Range
48. An individual data value which lies far (above or below) from most or all of the other data values within a distribution
Raw Data
Statistic (note there is no 's' at the end)
Stem-and-Leaf display
Outlier
49. Sample proportion
Characteristic of a distribution
p
Statistic (note there is no 's' at the end)
Data Set
50. Population is organized into groups (i.e - neighborhoods/departments) - and sampling unit is selected by a simple random sample
Systematic sampling
Nominal
Strata sampling
Cluster sampling