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Test your basic knowledge |
DSST Intro To Statistics
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Subjects
:
dsst
,
statistics
Instructions:
Answer 50 questions in 15 minutes.
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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. 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
Median
Percentile
Systematic sampling
Random Sample or Probability Sample
2. Can be used to get an initial graphical view of data
Dot plots
Numerical measurement describing some characteristics of a population.
Cluster sampling
Outliers
3. 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
Relative frequency histogram
Sample Size
Statistic
Simple random sample
4. A descriptive tool used to visually describe the characteristics and relationships of collections of data quickly and attractively
Designed experiment
Statistics
H1
Graph
5. Mean - mode - median and midrange.
Dependent events
Parameter
The 4 measures of center
Sample Variance
6. Variable where the value is a number that results from a measurement process - also called numerical data
Stem and leaf plots
p value left tail
Numerical Variable
Categorical Variable
7. Type II error is measured
Frequency histogram
Independent events
Strata sampling
8. 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
Symmetric Distribution
Numerical measurement describing some characteristics of a population.
Relative frequency histogram
Outlier
9. Probability of event A
P(A)
Population
Strata sampling
Independent events
10. A subset of the population- it's important to choose a sample at random to avoid bias in the results
Sample
Observational study
Systematic sampling
Representative Sample
11. A number that is used to describe a characteristic of a sample - such as a sample average - is called a __________.
Statistic
Sample Size
Distribution
Numerical measurement describing some characteristic of a sample.
12. A quantity calculated from data gathered from a sample- usually used to estimate a population parameter
Ratio
Independent events
Statistic
13. Occur when one of them affects the probability of the other.
p
Bias
Dependent events
s
14. The pattern of variation of data. The distribution may be described as symmetrical - positively skewed - or negatively skewed
Observational study
Ratio
Distribution
Symmetric Distribution
15. Occur when one does not affect the probability of the occurrence of the other.
Raw Data
Disjoint event
Independent events
Population
16. Alternative hypothesis
Convenience sampling
H1
Numerical measurement describing some characteristics of a population.
Population
17. Sum of the values
Median
S x
Frequency histogram
The 4 measures of center
18. 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
Bias
Cluster sampling
Statistic
19. 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).
Population
Characteristic of a distribution
Interval
Sample
20. 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
Statistic
Disjoint event
Ordinal
p value two tailed test
21. Sample variance
Frequency
s2
Census
Cluster sampling
22. Is the entire collection of all individuals or objects of interest
Survey
Population
Sample Variance
Simple random sample
23. One extreme value can affect it dramatically.
H1
The effect of extreme values on the measures of center
Graph
24. Disjoint events cannot overlap. They are mutually exclusive if they cannot occur at the same time.
Sample Variance
s2
Disjoint event
p
25. (largest data value) - (smallest data value)
s
P(A)
range
The effect of extreme values on the measures of center
26. Type of information - usually a property of characteristic of a person or thing that is measured or observed
Skewed Distribution
Alpha (a)
Variable
Dot plots
27. 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
Cluster sampling
Nominal
Dot plots
Statistics
28. 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
Stem and leaf plots
P(A)
Data Set
29. Type of bar graph that shows frequency distributions
s2
Raw Data
Frequency histogram
Data
30. A method of data collection where the researcher selects a sample from the population and measures the variable of interest
Survey
p value right tail
Center of Distribution
The 4 measures of center
31. Members of the population select themselves by volunteering
Frequency
Self-selected sample
s
p value left tail
32. Sample size or number of trials
Simple Random Sample
q
Skewed Distribution
n
33. Sample mean
Sample Size
Stem-and-Leaf display
Distribution
x
34. Double the answer from step 1 or step 2 (on whichever side your test statistics falls).
Convenience sampling
The 3 measures of variation
p value two tailed test
Alpha (a)
35. To calculate the percentile take the number of values less than x - divide by total number of values and times by 100.
Percentile
Simple Random Sample
Range
p value two tailed test
36. Is a number that describes a characteristic of a population
Parameter
What symbol must always be found in H0
The 2 measures of relative standing
Sample Size
37. Lowercase sigma; population standard deviaition
H0
Relative frequency histogram
s
Continuous Data
38. _______________ are numerical measurements that can assume any value between two numbers
Systematic sampling
Continuous Data
Pictograph
Representative Sample
39. 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
Skewed Distribution
Simple Random Sample
p value left tail
Parameter
40. 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
Sample
Sample
Ratio
Numerical Variable
41. A method in which you randomly choose one number from 'l' to 'k' and continue to select the kth element
Systematic sampling
Characteristic of a distribution
H0
Population
42. Test use normalcdf(ZTS -999)
Convenience sampling
Cluster sampling
p value right tail
Percentile
43. A flaw in the sampling procedure that makes it more likely that the sample will NOT be representative of population
Bias
Numerical Variable
Census
Stem and leaf plots
44. To divide the population into 2 or more non-overlapping subsets called strata
Representative Sample
Strata sampling
H0
Alpha (a)
45. Null hypothesis
Exploratory data analysis
S x
Characteristic of a distribution
H0
46. A numerical quantity measuring some aspect of the population
Representative Sample
Variable
Parameter
Cluster sampling
47. Using graphs and numerical summaries to describe variables in a data set and their relationship
Exploratory data analysis
Bias
H0
48. An individual data value which lies far (above or below) from most or all of the other data values within a distribution
Parameter
Designed experiment
S x
Outlier
49. 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
S x
p value left tail
Outliers
Categorical Variable
50. The variable value can be represented as isolated points on a number line
Frequency
Stem and leaf plots
What symbol must always be found in H0
Discrete numerical data
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