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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. Members of the population select themselves by volunteering
The 3 measures of variation
Self-selected sample
Stem-and-Leaf display
Frequency
2. 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
N
Self-selected sample
Parameter
3. Disjoint events cannot overlap. They are mutually exclusive if they cannot occur at the same time.
Continuous Data
Disjoint event
Statistic
Outlier
4. Using graphs and numerical summaries to describe variables in a data set and their relationship
Self-selected sample
x
Exploratory data analysis
Survey
5. 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
Nominal
Relative frequency histogram
Symmetric Distribution
Observational study
6. A method in which you randomly choose one number from 'l' to 'k' and continue to select the kth element
S x
Designed experiment
Median
Systematic sampling
7. 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
N
Ratio
Simple Random Sample
8. The pattern of variation of data. The distribution may be described as symmetrical - positively skewed - or negatively skewed
Survey
Census
Cluster sampling
Distribution
9. Is the process of selecting a portion - or sample - of the entire population
Sampling
p value left tail
N
Representative Sample
10. 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
Outlier
Outliers
Alpha (a)
11. Is a sample that has the pertinent characteristics of the population in the same proportion - as they are included in that population
Parameter
Representative Sample
Characteristic of a distribution
Dependent events
12. Information about individuals in a population
Statistic (note there is no 's' at the end)
Convenience sampling
Nominal
Data
13. Complement of p
Exploratory data analysis
q
p value left tail
Ratio
14. A method of data collection in which the objects of study are observed in their natural settings and the variables are recorded
Observational study
n
Numerical measurement describing some characteristic of a sample.
The 2 measures of relative standing
15. One extreme value can affect it dramatically.
Self-selected sample
Designed experiment
Dependent events
The effect of extreme values on the measures of center
16. Sample standard deviation
Stem and leaf plots
Population Size
s
Outliers
17. Can be used to get an initial graphical view of data
Sample Variance
q
H0
Dot plots
18. (largest data value) - (smallest data value)
Nominal
Data
Designed experiment
range
19. A survey that includes every item or individual of the population
Sample Size
Sample
Census
Relative frequency histogram
20. Test use normalcdf(ZTS -999)
Center of Distribution
n
Symmetric Distribution
p value right tail
21. Collection of information from a sample
Sample Variance
Center of Distribution
Categorical Variable
Survey
22. 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
Interval
Sample Size
Raw Data
23. Is a number that describes a characteristic of a sample
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24. A flaw in the sampling procedure that makes it more likely that the sample will NOT be representative of population
Sample Size
Simple random sample
Dependent events
Bias
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
Distribution
Outliers
Range
Discrete numerical data
26. Mu; population mean
Inferential Statistics
Sample
Exploratory data analysis
27. Capital sigma; summation
S
Numerical Variable
Inferential Statistics
Independent events
28. Square the standard deviation and to find the population variance square of the population standard deviation
Random Sample or Probability Sample
Sample Variance
Continuous Data
Numerical measurement describing some characteristics of a population.
29. Is the entire collection of all individuals or objects of interest
Data
x
Population
Raw Data
30. Determine the location of the middle value of all the data values
Population
Center of Distribution
Ordinal
Representative Sample
31. Sum of the values
p
Stem and leaf plots
S x
Convenience sampling
32. Sample mean
s2
x
Discrete Data
Interval
33. A quantity calculated from data gathered from a sample- usually used to estimate a population parameter
Distribution
Statistic (note there is no 's' at the end)
Independent events
Statistic
34. To calculate the percentile take the number of values less than x - divide by total number of values and times by 100.
p value left tail
Percentile
Parameter
Designed experiment
35. Population variance
s2
Sampling
s
36. Standard scores and percentile
The 2 measures of relative standing
Sampling
S x
Parameter
37. Is a sample containing similar characteristics of the population
Representative Sample
Survey
x
p value right tail
38. Sample proportion
s2
p
Stem-and-Leaf display
The 2 measures of relative standing
39. Range - standard deviation and variance.
The 3 measures of variation
Frequency
Sample Size
Discrete Data
40. _______________ are numerical measurements that can assume any value between two numbers
Stem-and-Leaf display
Continuous Data
S
Data Set
41. A collection of individuals about which we want to draw conclusions
Independent events
Population
Data Set
H0
42. 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).
Representative Sample
Survey
Interval
Numerical measurement describing some characteristic of a sample.
43. _______________ are numerical values that can assume only a limited number of values
Strata sampling
Data Set
Discrete Data
Survey
44. The variable value can be represented as isolated points on a number line
Discrete numerical data
Stem-and-Leaf display
Sample Variance
Statistic
45. Population proportion
Distribution
Survey
p
Frequency
46. Sample variance
Outliers
s2
Simple Random Sample
47. Is a collection of several data pertaining to one or more variables
Sample Size
Data Set
Frequency histogram
Population
48. For a left tailed test use normalcdf(-999 - ZTS)
p value left tail
Convenience sampling
Discrete numerical data
p value right tail
49. The number of times each data value occurs
Statistic (note there is no 's' at the end)
Frequency
Statistics
Sample
50. Double the answer from step 1 or step 2 (on whichever side your test statistics falls).
p value two tailed test
Descriptive Statistics
s2
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