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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. 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
s
S x
Ratio
2. Capital sigma; summation
Distribution
Representative Sample
S
Simple Random Sample
3. For a left tailed test use normalcdf(-999 - ZTS)
Parameter
Center of Distribution
p value left tail
Survey
4. Is the entire collection of all individuals or objects of interest
Raw Data
Cluster sampling
Population
5. Variable where the value is a number that results from a measurement process - also called numerical data
H1
Census
The 4 measures of center
Numerical Variable
6. Probability of event A
Self-selected sample
The 4 measures of center
P(A)
7. A method of data collection where the researcher selects a sample from the population and measures the variable of interest
Survey
Simple random sample
Outlier
Designed experiment
8. Is the process of selecting a portion - or sample - of the entire population
Observational study
Sampling
Parameter
The effect of extreme values on the measures of center
9. Collection of information from a sample
Survey
Bias
Categorical Variable
The effect of extreme values on the measures of center
10. A quantity calculated from data gathered from a sample- usually used to estimate a population parameter
Sample Variance
S
Convenience sampling
Statistic
11. The important aspects of the data are called?
The 2 measures of relative standing
Exploratory data analysis
range
Characteristic of a distribution
12. To calculate the percentile take the number of values less than x - divide by total number of values and times by 100.
Discrete Data
Nominal
Simple Random Sample
Percentile
13. Alternative hypothesis
Bias
Ordinal
Continuous Data
H1
14. To find the range subtract the lowest value by the highest value.
Symmetric Distribution
Range
s2
Random Sample or Probability Sample
15. Type of information - usually a property of characteristic of a person or thing that is measured or observed
Variable
Random Sample or Probability Sample
Statistic
16. 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
S
Ordinal
Sample Variance
Sample
17. Range - standard deviation and variance.
H1
Symmetric Distribution
The 3 measures of variation
S x
18. Always use a equal symbol
H0
What symbol must always be found in H0
Ordinal
Population
19. Collection of information from the whole population
Statistic
Census
Convenience sampling
Population Size
20. Population proportion
Parameter
p
Relative frequency histogram
range
21. The number of times each data value occurs
p value right tail
Frequency
p value two tailed test
The 2 measures of relative standing
22. Occur when one does not affect the probability of the occurrence of the other.
Independent events
S
Simple random sample
Sample Size
23. Mu; population mean
p value two tailed test
P(A)
Population
24. Can be used to get an initial graphical view of data
Skewed Distribution
Dot plots
Descriptive Statistics
Alpha (a)
25. Complement of p
Skewed Distribution
Survey
q
Dependent events
26. Standard scores and percentile
Symmetric Distribution
Ordinal
p value two tailed test
The 2 measures of relative standing
27. 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
Variable
Random Sample or Probability Sample
Nominal
P(A)
28. Type of bar graph that shows frequency distributions
Strata sampling
Sample
Frequency histogram
Designed experiment
29. A flaw in the sampling procedure that makes it more likely that the sample will NOT be representative of population
The 3 measures of variation
Characteristic of a distribution
Bias
Center of Distribution
30. Is a collection of several data pertaining to one or more variables
Data Set
Survey
Sampling
Survey
31. One extreme value can affect it dramatically.
Interval
Discrete Data
The effect of extreme values on the measures of center
Variable
32. A descriptive tool used to visually describe the characteristics and relationships of collections of data quickly and attractively
Disjoint event
P(A)
Graph
Designed experiment
33. Before they are arranged or analyzed - information or observations are called________.
Numerical measurement describing some characteristics of a population.
Raw Data
Stem and leaf plots
Survey
34. Population size
Stem-and-Leaf display
s
Characteristic of a distribution
N
35. The pattern of variation of data. The distribution may be described as symmetrical - positively skewed - or negatively skewed
Sampling
Statistics
Disjoint event
Distribution
36. 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
S
Symmetric Distribution
p value right tail
37. Represents categories - and is nonnumerical in nature
Categorical Variable
Disjoint event
Center of Distribution
Dependent events
38. Is the portion of the population that is selected for study
Range
Parameter
Numerical measurement describing some characteristics of a population.
Sample
39. A number that is used to describe a characteristic of a sample - such as a sample average - is called a __________.
Statistic
s
Dependent events
Representative Sample
40. 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
Statistics
Simple Random Sample
p
Bias
41. Sample mean
p value right tail
x
Sample Variance
Stem-and-Leaf display
42. _______________ are numerical values that can assume only a limited number of values
Discrete Data
Outlier
Outliers
Stem and leaf plots
43. Sample size or number of trials
s
s2
n
Frequency
44. 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
What symbol must always be found in H0
Survey
The effect of extreme values on the measures of center
45. 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.
Percentile
Pictograph
Categorical Variable
Distribution
46. Disjoint events cannot overlap. They are mutually exclusive if they cannot occur at the same time.
Observational study
Sample
Frequency histogram
Disjoint event
47. Population variance
The effect of extreme values on the measures of center
s2
Self-selected sample
Representative Sample
48. Double the answer from step 1 or step 2 (on whichever side your test statistics falls).
Exploratory data analysis
Data Set
The effect of extreme values on the measures of center
p value two tailed test
49. A subset of the population- it's important to choose a sample at random to avoid bias in the results
Numerical measurement describing some characteristic of a sample.
Disjoint event
S x
Sample
50. Null hypothesis
Relative frequency histogram
Data Set
Characteristic of a distribution
H0
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