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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. 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
Census
Stem-and-Leaf display
Outliers
Data Set
2. Standard scores and percentile
Variable
Ratio
Exploratory data analysis
The 2 measures of relative standing
3. A flaw in the sampling procedure that makes it more likely that the sample will NOT be representative of population
Range
H1
Bias
Distribution
4. 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.
Raw Data
Pictograph
Strata sampling
Percentile
5. Complement of p
Data
Sample
q
Interval
6. Sample proportion
Stem-and-Leaf display
p
Survey
Independent events
7. Represents categories - and is nonnumerical in nature
Categorical Variable
Distribution
Alpha (a)
Bias
8. Double the answer from step 1 or step 2 (on whichever side your test statistics falls).
Survey
Sample
p value two tailed test
Convenience sampling
9. Population size
p value right tail
Stem-and-Leaf display
Census
N
10. Occur when one does not affect the probability of the occurrence of the other.
Nominal
Independent events
Survey
Interval
11. For a left tailed test use normalcdf(-999 - ZTS)
Ordinal
n
Simple random sample
p value left tail
12. 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
s2
Survey
Alpha (a)
Survey
13. A number that is used to describe a characteristic of a sample - such as a sample average - is called a __________.
Discrete numerical data
Sampling
Statistic
p value left tail
14. _______________ 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
Distribution
Continuous Data
s2
Numerical Variable
15. Is a sample that has the pertinent characteristics of the population in the same proportion - as they are included in that population
What symbol must always be found in H0
Exploratory data analysis
Distribution
Representative Sample
16. _______________ are numerical measurements that can assume any value between two numbers
Observational study
Sampling
Continuous Data
H0
17. Statistics
The 2 measures of relative standing
Numerical measurement describing some characteristic of a sample.
P(A)
Stem-and-Leaf display
18. 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
Skewed Distribution
Simple random sample
Inferential Statistics
Nominal
19. A subset of the population- it's important to choose a sample at random to avoid bias in the results
p value right tail
Raw Data
Sample
H1
20. Sample size or number of trials
n
Convenience sampling
Simple random sample
What symbol must always be found in H0
21. Is denoted by 'N' - is the number of data values in the population
Parameter
Bias
Numerical Variable
Population Size
22. Collection of information from the whole population
Random Sample or Probability Sample
S x
The effect of extreme values on the measures of center
Census
23. Parameter
Categorical Variable
Random Sample or Probability Sample
s2
Numerical measurement describing some characteristics of a population.
24. To divide the population into 2 or more non-overlapping subsets called strata
Strata sampling
Parameter
Observational study
Sampling
25. Can be used to get an initial graphical view of data
Dot plots
H0
Ordinal
Frequency
26. Type of information - usually a property of characteristic of a person or thing that is measured or observed
Variable
x
Population Size
H0
27. Population is organized into groups (i.e - neighborhoods/departments) - and sampling unit is selected by a simple random sample
Raw Data
Stem and leaf plots
Independent events
Cluster sampling
28. A numerical quantity measuring some aspect of the population
p
Alpha (a)
Designed experiment
Parameter
29. Collection of information from a sample
Distribution
Variable
Survey
n
30. Type II error is measured
Population Size
Sample
Statistic
31. 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
Alpha (a)
p value left tail
Independent events
Simple Random Sample
32. 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
Statistic (note there is no 's' at the end)
Simple Random Sample
Range
33. _______________ are numerical values that can assume only a limited number of values
Discrete Data
Continuous Data
Center of Distribution
Frequency
34. The important aspects of the data are called?
P(A)
Inferential Statistics
Bias
Characteristic of a distribution
35. Sum of the values
Discrete numerical data
Continuous Data
The 4 measures of center
S x
36. Occur when one of them affects the probability of the other.
Center of Distribution
P(A)
Statistic
Dependent events
37. Null hypothesis
Sample Size
Characteristic of a distribution
Parameter
H0
38. To find the range subtract the lowest value by the highest value.
Range
Raw Data
Outliers
s
39. Determine the location of the middle value of all the data values
Stem and leaf plots
Numerical measurement describing some characteristics of a population.
n
Center of Distribution
40. Lowercase sigma; population standard deviaition
Statistics
Independent events
Relative frequency histogram
s
41. Members of the population select themselves by volunteering
Population
Discrete numerical data
Self-selected sample
42. Is a sample containing similar characteristics of the population
Pictograph
Representative Sample
Survey
N
43. 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
Data
Ratio
Bias
What symbol must always be found in H0
44. Disjoint events cannot overlap. They are mutually exclusive if they cannot occur at the same time.
Disjoint event
H1
The effect of extreme values on the measures of center
45. One extreme value can affect it dramatically.
The effect of extreme values on the measures of center
Strata sampling
Distribution
Self-selected sample
46. 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
Outliers
Representative Sample
Sampling
Convenience sampling
47. 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
Frequency histogram
Ordinal
Census
Self-selected sample
48. Always use a equal symbol
x
What symbol must always be found in H0
Distribution
Graph
49. Population proportion
p
n
Dependent events
Distribution
50. Before they are arranged or analyzed - information or observations are called________.
Stem and leaf plots
Census
Relative frequency histogram
Raw Data