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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. 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
Statistic
Stem and leaf plots
H1
2. 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
Skewed Distribution
p
Population
Symmetric Distribution
3. Parameter
Distribution
Range
Disjoint event
Numerical measurement describing some characteristics of a population.
4. Disjoint events cannot overlap. They are mutually exclusive if they cannot occur at the same time.
Parameter
Disjoint event
H1
The effect of extreme values on the measures of center
5. Type of information - usually a property of characteristic of a person or thing that is measured or observed
Symmetric Distribution
Variable
Population
Parameter
6. 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
Exploratory data analysis
Distribution
Representative Sample
Ordinal
7. Sample size or number of trials
Designed experiment
Convenience sampling
Simple random sample
n
8. 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
Numerical measurement describing some characteristics of a population.
Continuous Data
Sample Variance
9. The important aspects of the data are called?
Characteristic of a distribution
Exploratory data analysis
Symmetric Distribution
H1
10. The variable value can be represented as isolated points on a number line
Representative Sample
The 4 measures of center
Representative Sample
Discrete numerical data
11. Mean - mode - median and midrange.
The 4 measures of center
Population Size
Data Set
n
12. Is the process of selecting a portion - or sample - of the entire population
Representative Sample
The 3 measures of variation
S
Sampling
13. Using graphs and numerical summaries to describe variables in a data set and their relationship
Distribution
Categorical Variable
Discrete numerical data
Exploratory data analysis
14. Probability of event A
Discrete numerical data
Dependent events
P(A)
x
15. Information about individuals in a population
Data
Nominal
Skewed Distribution
Inferential Statistics
16. Is the process of using SAMPLE INFORMATION to draw inferences or conclusions about the POPULATION
Sample
Descriptive Statistics
Inferential Statistics
s
17. Capital sigma; summation
Numerical Variable
Sample Variance
Population Size
S
18. To divide the population into 2 or more non-overlapping subsets called strata
Strata sampling
Sample
p
Representative Sample
19. Can be used to get an initial graphical view of data
Dot plots
Statistics
x
Statistic (note there is no 's' at the end)
20. 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
Dependent events
Pictograph
Nominal
Range
21. Standard scores and percentile
What symbol must always be found in H0
Bias
The 2 measures of relative standing
Numerical Variable
22. 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
Cluster sampling
Population
Sample
Alpha (a)
23. 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
Parameter
S
24. Is the entire collection of all individuals or objects of interest
S x
Representative Sample
Population
25. Has the same shape and horizontal scale as a histogram - but the vertical scale is marked with relative frequencies instead of actual frequencies
Survey
Descriptive Statistics
Statistic
Relative frequency histogram
26. Mu; population mean
The 2 measures of relative standing
N
Bias
27. Statistics
Self-selected sample
p
Numerical measurement describing some characteristic of a sample.
Random Sample or Probability Sample
28. One extreme value can affect it dramatically.
Census
Range
Systematic sampling
The effect of extreme values on the measures of center
29. _______________ are numerical values that can assume only a limited number of values
Bias
Discrete Data
Percentile
Stem-and-Leaf display
30. Is a number that describes a characteristic of a sample
31. Is denoted by 'n' - is the number of data values in the sample
Sample Size
Discrete numerical data
Designed experiment
Parameter
32. 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
Statistic (note there is no 's' at the end)
Stem-and-Leaf display
Distribution
Systematic sampling
33. Population variance
Numerical measurement describing some characteristics of a population.
Random Sample or Probability Sample
s2
34. Members of the population select themselves by volunteering
Self-selected sample
Independent events
P(A)
Representative Sample
35. Sum of the values
S x
Sample
H0
The 2 measures of relative standing
36. Collection of information from a sample
Interval
Alpha (a)
Parameter
Survey
37. A survey that includes every item or individual of the population
p
p
Census
p value left tail
38. For a left tailed test use normalcdf(-999 - ZTS)
Population
p value left tail
The 3 measures of variation
Range
39. Is a sample that has the pertinent characteristics of the population in the same proportion - as they are included in that population
Data
Representative Sample
Stem-and-Leaf display
What symbol must always be found in H0
40. The pattern of variation of data. The distribution may be described as symmetrical - positively skewed - or negatively skewed
Distribution
S
Nominal
Outlier
41. Is a number that describes a characteristic of a population
Parameter
Stem-and-Leaf display
p value left tail
Simple random sample
42. Null hypothesis
Bias
Data Set
H0
The effect of extreme values on the measures of center
43. Population size
Simple Random Sample
N
Stem-and-Leaf display
Population
44. Uses numerical and or visual techniques to summarize or describe the data in a clear effective manner
S
q
Descriptive Statistics
Statistics
45. An efficient method of graphing information using actual amounts: clusters - gaps - outliers are clearly identified.
n
The 4 measures of center
Symmetric Distribution
Stem and leaf plots
46. Square the standard deviation and to find the population variance square of the population standard deviation
Dot plots
Independent events
Inferential Statistics
Sample Variance
47. _______________ 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
Population Size
Ordinal
Distribution
Parameter
48. Alternative hypothesis
H1
Discrete numerical data
Parameter
Descriptive Statistics
49. Is denoted by 'N' - is the number of data values in the population
Bias
n
P(A)
Population Size
50. Is a sample containing similar characteristics of the population
Statistics
Statistic
s2
Representative Sample