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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. Sample size or number of trials
Center of Distribution
n
s
p value left tail
2. Standard scores and percentile
Statistic (note there is no 's' at the end)
Percentile
Inferential Statistics
The 2 measures of relative standing
3. Is denoted by 'N' - is the number of data values in the population
The 2 measures of relative standing
Population Size
Relative frequency histogram
s
4. An individual data value which lies far (above or below) from most or all of the other data values within a distribution
S
Statistic (note there is no 's' at the end)
Outlier
Raw Data
5. Sample proportion
p
Raw Data
Continuous Data
H1
6. A method of data collection in which the objects of study are observed in their natural settings and the variables are recorded
Observational study
Statistic (note there is no 's' at the end)
Stem-and-Leaf display
Range
7. Population size
N
What symbol must always be found in H0
Data Set
Convenience sampling
8. Type of bar graph that shows frequency distributions
Survey
Frequency histogram
q
Census
9. Represents categories - and is nonnumerical in nature
Categorical Variable
Alpha (a)
Numerical Variable
Statistic
10. A method in which you randomly choose one number from 'l' to 'k' and continue to select the kth element
Systematic sampling
Observational study
Simple random sample
Dot plots
11. Range - standard deviation and variance.
p
Outliers
The 3 measures of variation
Independent events
12. Occur when one does not affect the probability of the occurrence of the other.
Exploratory data analysis
Sample Size
Systematic sampling
Independent events
13. Sample mean
Simple Random Sample
range
x
14. Population variance
s2
Relative frequency histogram
Survey
Census
15. Is the entire collection of all individuals or objects of interest
Discrete Data
Designed experiment
Population
Statistic (note there is no 's' at the end)
16. Is a collection of several data pertaining to one or more variables
Inferential Statistics
s
Census
Data Set
17. Is a number that describes a characteristic of a sample
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18. Using graphs and numerical summaries to describe variables in a data set and their relationship
Descriptive Statistics
Exploratory data analysis
Numerical measurement describing some characteristic of a sample.
Sample Variance
19. 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
Population Size
Simple Random Sample
Representative Sample
Stem and leaf plots
20. 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
N
p value left tail
21. Is the process of selecting a portion - or sample - of the entire population
Continuous Data
Ratio
q
Sampling
22. _______________ 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
Ordinal
Distribution
Frequency histogram
H1
23. Test use normalcdf(ZTS -999)
Center of Distribution
p value right tail
Systematic sampling
Graph
24. Collection of information from a sample
Frequency histogram
Numerical measurement describing some characteristics of a population.
Observational study
Survey
25. 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.
Designed experiment
Pictograph
Parameter
The effect of extreme values on the measures of center
26. Sum of the values
Ratio
Statistic
S x
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
Variable
Nominal
Cluster sampling
Descriptive Statistics
28. Is the portion of the population that is selected for study
Parameter
The 4 measures of center
Alpha (a)
Sample
29. A subset of the population- it's important to choose a sample at random to avoid bias in the results
Nominal
Sample
Alpha (a)
Population
30. 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
Systematic sampling
Observational study
What symbol must always be found in H0
31. A method of data collection where the researcher selects a sample from the population and measures the variable of interest
The 2 measures of relative standing
Observational study
Nominal
Survey
32. Population is organized into groups (i.e - neighborhoods/departments) - and sampling unit is selected by a simple random sample
Outliers
Cluster sampling
p
Population
33. 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
Sample Variance
Ordinal
Stem-and-Leaf display
34. Population proportion
p
Pictograph
Dependent events
Exploratory data analysis
35. Can be used to get an initial graphical view of data
Relative frequency histogram
Dot plots
Parameter
Strata sampling
36. Uses numerical and or visual techniques to summarize or describe the data in a clear effective manner
Data
n
Descriptive Statistics
Simple Random Sample
37. Type II error is measured
Variable
Observational study
Self-selected sample
38. An efficient method of graphing information using actual amounts: clusters - gaps - outliers are clearly identified.
Range
Stem and leaf plots
Disjoint event
Survey
39. One extreme value can affect it dramatically.
The effect of extreme values on the measures of center
Independent events
Graph
Observational study
40. A survey that includes every item or individual of the population
Census
Outliers
H1
41. Information about individuals in a population
Stem-and-Leaf display
Distribution
What symbol must always be found in H0
Data
42. Null hypothesis
The effect of extreme values on the measures of center
Sampling
H0
Data
43. The number of times each data value occurs
Nominal
Numerical measurement describing some characteristics of a population.
Interval
Frequency
44. A numerical quantity measuring some aspect of the population
Distribution
Parameter
Survey
Representative Sample
45. To calculate the percentile take the number of values less than x - divide by total number of values and times by 100.
Numerical measurement describing some characteristics of a population.
Percentile
Data
Distribution
46. Mean - mode - median and midrange.
Distribution
The 4 measures of center
Statistic
Independent events
47. Square the standard deviation and to find the population variance square of the population standard deviation
Independent events
p
Sample Variance
Distribution
48. The pattern of variation of data. The distribution may be described as symmetrical - positively skewed - or negatively skewed
p value right tail
p value two tailed test
Categorical Variable
Distribution
49. For a left tailed test use normalcdf(-999 - ZTS)
Exploratory data analysis
p value left tail
p
Convenience sampling
50. Capital sigma; summation
Nominal
range
The 2 measures of relative standing
S
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