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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. 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
Numerical Variable
Representative Sample
Symmetric Distribution
s2
2. Test use normalcdf(ZTS -999)
Bias
Outlier
Nominal
p value right tail
3. 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
Discrete numerical data
p value right tail
Ratio
The effect of extreme values on the measures of center
4. 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
Continuous Data
Sample Variance
Graph
5. Information about individuals in a population
Categorical Variable
Data Set
Data
s
6. 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
P(A)
The effect of extreme values on the measures of center
Numerical measurement describing some characteristic of a sample.
Alpha (a)
7. Square the standard deviation and to find the population variance square of the population standard deviation
Sample Size
Discrete numerical data
Graph
Sample Variance
8. Disjoint events cannot overlap. They are mutually exclusive if they cannot occur at the same time.
p value two tailed test
Stem and leaf plots
Disjoint event
Graph
9. 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
Simple Random Sample
Numerical Variable
Population Size
Statistic (note there is no 's' at the end)
10. A flaw in the sampling procedure that makes it more likely that the sample will NOT be representative of population
Dot plots
Sample Size
Bias
Simple random sample
11. Is a collection of several data pertaining to one or more variables
p
Continuous Data
range
Data Set
12. Is a number that describes a characteristic of a population
Disjoint event
Random Sample or Probability Sample
Parameter
Data
13. 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
Stem-and-Leaf display
The 2 measures of relative standing
x
Nominal
14. A method in which you randomly choose one number from 'l' to 'k' and continue to select the kth element
p value right tail
Parameter
Independent events
Systematic sampling
15. Is the portion of the population that is selected for study
Sample
The 3 measures of variation
Relative frequency histogram
Graph
16. 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
Sample Size
S x
Statistic (note there is no 's' at the end)
Simple random sample
17. 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
Numerical measurement describing some characteristics of a population.
Characteristic of a distribution
Median
Simple Random Sample
18. Represents categories - and is nonnumerical in nature
Categorical Variable
Range
Sample Size
Simple random sample
19. Statistics
Numerical measurement describing some characteristic of a sample.
The 3 measures of variation
s2
s2
20. _______________ are numerical values that can assume only a limited number of values
The 3 measures of variation
Distribution
p value two tailed test
Discrete Data
21. Is the process of using SAMPLE INFORMATION to draw inferences or conclusions about the POPULATION
Independent events
Raw Data
Inferential Statistics
Bias
22. A method of data collection in which the objects of study are observed in their natural settings and the variables are recorded
Inferential Statistics
Observational study
The 2 measures of relative standing
Graph
23. Mu; population mean
Sampling
N
Population Size
24. The number of times each data value occurs
Representative Sample
Frequency
Representative Sample
25. Occur when one of them affects the probability of the other.
Dependent events
Simple random sample
Graph
S
26. Is a number that describes a characteristic of a sample
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27. Probability of event A
P(A)
s
Survey
28. Double the answer from step 1 or step 2 (on whichever side your test statistics falls).
Distribution
Disjoint event
p value two tailed test
What symbol must always be found in H0
29. Alternative hypothesis
Census
H1
p value right tail
Survey
30. Can be used to get an initial graphical view of data
Designed experiment
Dot plots
Nominal
Percentile
31. Parameter
Skewed Distribution
Random Sample or Probability Sample
Numerical measurement describing some characteristics of a population.
Population Size
32. Lowercase sigma; population standard deviaition
s
What symbol must always be found in H0
Statistics
Graph
33. Mean - mode - median and midrange.
The 4 measures of center
H1
Bias
Census
34. Sample mean
The 3 measures of variation
Statistic
x
Ratio
35. Is denoted by 'N' - is the number of data values in the population
Designed experiment
Population Size
Survey
The 4 measures of center
36. An individual data value which lies far (above or below) from most or all of the other data values within a distribution
Cluster sampling
Outlier
Population
Continuous Data
37. Sample variance
Parameter
Interval
s2
Census
38. Members of the population select themselves by volunteering
Sample Size
Center of Distribution
Self-selected sample
s2
39. A survey that includes every item or individual of the population
Parameter
Census
Statistics
H1
40. Sample size or number of trials
s2
Data Set
Survey
n
41. A collection of individuals about which we want to draw conclusions
p value right tail
Graph
Data Set
Population
42. A number that is used to describe a characteristic of a sample - such as a sample average - is called a __________.
The 3 measures of variation
Statistic
Inferential Statistics
43. 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.
Distribution
Pictograph
Interval
Census
44. 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
Characteristic of a distribution
p
Statistics
Ratio
45. Sample standard deviation
N
s
s2
Continuous Data
46. Population is organized into groups (i.e - neighborhoods/departments) - and sampling unit is selected by a simple random sample
range
Independent events
Cluster sampling
s
47. Type of information - usually a property of characteristic of a person or thing that is measured or observed
Designed experiment
Representative Sample
Variable
Random Sample or Probability Sample
48. 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
Sample
Simple Random Sample
Skewed Distribution
Statistic (note there is no 's' at the end)
49. 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
Outliers
Stem-and-Leaf display
Range
Numerical measurement describing some characteristics of a population.
50. Sum of the values
The effect of extreme values on the measures of center
S x
Numerical measurement describing some characteristic of a sample.
Statistic