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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. 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
Observational study
Outliers
Sample
Discrete numerical data
2. Sample standard deviation
p
Percentile
s
Distribution
3. Is a number that describes a characteristic of a sample
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4. Statistics
Numerical measurement describing some characteristic of a sample.
Simple Random Sample
s2
Sample Variance
5. A method of data collection where the researcher selects a sample from the population and measures the variable of interest
Descriptive Statistics
Inferential Statistics
S
Survey
6. A quantity calculated from data gathered from a sample- usually used to estimate a population parameter
H0
Ordinal
Observational study
Statistic
7. Type of bar graph that shows frequency distributions
Survey
Observational study
Frequency histogram
p value right tail
8. The important aspects of the data are called?
Characteristic of a distribution
Simple Random Sample
Stem-and-Leaf display
Population
9. A flaw in the sampling procedure that makes it more likely that the sample will NOT be representative of population
Representative Sample
Symmetric Distribution
Bias
Statistic (note there is no 's' at the end)
10. To find the range subtract the lowest value by the highest value.
Ratio
P(A)
Discrete numerical data
Range
11. A numerical quantity measuring some aspect of the population
Stem-and-Leaf display
Parameter
Discrete numerical data
12. Lowercase sigma; population standard deviaition
Census
Parameter
s
Variable
13. Is a collection of several data pertaining to one or more variables
Categorical Variable
s2
Data Set
q
14. Range - standard deviation and variance.
Data
Simple random sample
Ratio
The 3 measures of variation
15. An efficient method of graphing information using actual amounts: clusters - gaps - outliers are clearly identified.
Independent events
Stem and leaf plots
Range
Observational study
16. Uses numerical and or visual techniques to summarize or describe the data in a clear effective manner
Discrete numerical data
Dot plots
Descriptive Statistics
Parameter
17. For a left tailed test use normalcdf(-999 - ZTS)
Characteristic of a distribution
Alpha (a)
Stem and leaf plots
p value left tail
18. Type of information - usually a property of characteristic of a person or thing that is measured or observed
Graph
Variable
Population Size
Relative frequency histogram
19. Type II error is measured
Cluster sampling
Stem and leaf plots
Systematic sampling
20. Is denoted by 'n' - is the number of data values in the sample
Ratio
Sample Size
Dot plots
Population
21. Mu; population mean
Stem-and-Leaf display
Median
Census
22. Variable where the value is a number that results from a measurement process - also called numerical data
Disjoint event
Data
Numerical Variable
Graph
23. Collection of information from the whole population
S x
Census
Range
Sample Size
24. The number of times each data value occurs
Bias
Frequency
Sampling
Cluster sampling
25. Disjoint events cannot overlap. They are mutually exclusive if they cannot occur at the same time.
Sample
N
Disjoint event
Parameter
26. Can be used to get an initial graphical view of data
Stem-and-Leaf display
Census
Dot plots
Statistic (note there is no 's' at the end)
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
Sample Variance
Random Sample or Probability Sample
Center of Distribution
Representative Sample
28. Is the portion of the population that is selected for study
Sample
Population
Sampling
Relative frequency histogram
29. 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
s
Statistic (note there is no 's' at the end)
Population
Simple Random Sample
30. Mean - mode - median and midrange.
Sample
s2
p
The 4 measures of center
31. Population variance
Distribution
s2
Numerical measurement describing some characteristics of a population.
Ratio
32. 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
Disjoint event
Skewed Distribution
Statistic
Discrete numerical data
33. To calculate the percentile take the number of values less than x - divide by total number of values and times by 100.
Frequency histogram
q
range
Percentile
34. 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
Census
Cluster sampling
Nominal
Population
35. Double the answer from step 1 or step 2 (on whichever side your test statistics falls).
Statistic
p value two tailed test
Outliers
Alpha (a)
36. An individual data value which lies far (above or below) from most or all of the other data values within a distribution
The 4 measures of center
Outlier
Sample
n
37. Test use normalcdf(ZTS -999)
range
Skewed Distribution
p value right tail
Census
38. Population is organized into groups (i.e - neighborhoods/departments) - and sampling unit is selected by a simple random sample
Population
Cluster sampling
The 3 measures of variation
Convenience sampling
39. Occur when one of them affects the probability of the other.
Median
Dependent events
Descriptive Statistics
40. Collection of information from a sample
p
Survey
n
H0
41. To divide the population into 2 or more non-overlapping subsets called strata
p value two tailed test
Strata sampling
s2
Census
42. Is a sample containing similar characteristics of the population
s
Sample Variance
Population Size
Representative Sample
43. A subset of the population- it's important to choose a sample at random to avoid bias in the results
Distribution
s
Sample
Categorical Variable
44. Occur when one does not affect the probability of the occurrence of the other.
Population
Exploratory data analysis
Percentile
Independent events
45. A method of experimentation in which you can control as many variables as possible in order to isolate the effects of a response variable
Systematic sampling
Designed experiment
s2
Discrete numerical data
46. Is the process of selecting a portion - or sample - of the entire population
Sampling
What symbol must always be found in H0
Convenience sampling
q
47. Using graphs and numerical summaries to describe variables in a data set and their relationship
Sampling
Exploratory data analysis
s2
Interval
48. A method of data collection in which the objects of study are observed in their natural settings and the variables are recorded
Observational study
S x
Numerical measurement describing some characteristic of a sample.
Frequency
49. _______________ 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
Numerical measurement describing some characteristic of a sample.
n
p value left tail
Distribution
50. Is a number that describes a characteristic of a population
s
The 2 measures of relative standing
Parameter
Relative frequency histogram