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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. Collection of information from the whole population
Graph
Categorical Variable
Raw Data
Census
2. For a left tailed test use normalcdf(-999 - ZTS)
Simple Random Sample
p value left tail
p
P(A)
3. Determine the location of the middle value of all the data values
Convenience sampling
Center of Distribution
p value left tail
Systematic sampling
4. Sample proportion
Independent events
Parameter
p
Ordinal
5. To divide the population into 2 or more non-overlapping subsets called strata
p value two tailed test
Designed experiment
Percentile
Strata sampling
6. 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
Parameter
Statistics
n
Nominal
7. Population size
S
Strata sampling
Numerical measurement describing some characteristics of a population.
N
8. Null hypothesis
Cluster sampling
Median
H0
Parameter
9. (largest data value) - (smallest data value)
P(A)
Skewed Distribution
range
Statistics
10. An individual data value which lies far (above or below) from most or all of the other data values within a distribution
Outlier
Independent events
Discrete numerical data
Parameter
11. One extreme value can affect it dramatically.
p value two tailed test
Simple Random Sample
The effect of extreme values on the measures of center
Independent events
12. Using graphs and numerical summaries to describe variables in a data set and their relationship
Simple random sample
Dot plots
Exploratory data analysis
s
13. Population proportion
Data Set
range
Characteristic of a distribution
p
14. Is the portion of the population that is selected for study
Exploratory data analysis
Data
Sample
Cluster sampling
15. Is a sample containing similar characteristics of the population
range
Representative Sample
S x
What symbol must always be found in H0
16. Occur when one does not affect the probability of the occurrence of the other.
Continuous Data
Dependent events
Independent events
Cluster sampling
17. Population is organized into groups (i.e - neighborhoods/departments) - and sampling unit is selected by a simple random sample
The 3 measures of variation
Cluster sampling
Statistic
Self-selected sample
18. Alternative hypothesis
Statistics
Ordinal
s2
H1
19. The pattern of variation of data. The distribution may be described as symmetrical - positively skewed - or negatively skewed
Center of Distribution
Distribution
Statistics
H0
20. Mean - mode - median and midrange.
Bias
Categorical Variable
The 4 measures of center
Parameter
21. To find the range subtract the lowest value by the highest value.
Frequency
Population
Range
Center of Distribution
22. Before they are arranged or analyzed - information or observations are called________.
Raw Data
The 3 measures of variation
Numerical measurement describing some characteristic of a sample.
Symmetric Distribution
23. The variable value can be represented as isolated points on a number line
Population Size
Discrete numerical data
Cluster sampling
Discrete Data
24. Population variance
s2
Statistic
Continuous Data
Symmetric Distribution
25. _______________ 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
Distribution
Variable
Self-selected sample
Population Size
26. 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.
Statistic
Sample
Center of Distribution
Pictograph
27. 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
N
Cluster sampling
Simple random sample
Median
28. Disjoint events cannot overlap. They are mutually exclusive if they cannot occur at the same time.
Sample Variance
Disjoint event
s2
29. Always use a equal symbol
Characteristic of a distribution
What symbol must always be found in H0
range
Independent events
30. Test use normalcdf(ZTS -999)
n
p value right tail
Systematic sampling
Census
31. A number that is used to describe a characteristic of a sample - such as a sample average - is called a __________.
Statistic
Numerical Variable
P(A)
range
32. A method in which you randomly choose one number from 'l' to 'k' and continue to select the kth element
The 2 measures of relative standing
Statistics
Systematic sampling
H0
33. Probability of event A
P(A)
Dependent events
p value right tail
Ordinal
34. A descriptive tool used to visually describe the characteristics and relationships of collections of data quickly and attractively
Population Size
Convenience sampling
Graph
s2
35. A method of data collection in which the objects of study are observed in their natural settings and the variables are recorded
Dependent events
Convenience sampling
Observational study
Numerical measurement describing some characteristics of a population.
36. 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).
Discrete Data
Survey
Observational study
Interval
37. 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
Percentile
Random Sample or Probability Sample
Cluster sampling
38. Double the answer from step 1 or step 2 (on whichever side your test statistics falls).
q
Population
Statistics
p value two tailed test
39. Sample mean
x
Sample Variance
s2
Numerical Variable
40. Is the entire collection of all individuals or objects of interest
s
Descriptive Statistics
Population
p value right tail
41. Is a collection of several data pertaining to one or more variables
S
Sample
p
Data Set
42. 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
Survey
Sampling
Ratio
Sample Variance
43. Is a number that describes a characteristic of a population
Sample
Variable
Parameter
Discrete Data
44. Variable where the value is a number that results from a measurement process - also called numerical data
Numerical Variable
Discrete numerical data
s2
Ordinal
45. 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
Ratio
Parameter
Outliers
Strata sampling
46. Type of bar graph that shows frequency distributions
Bias
Sample
Frequency histogram
Population Size
47. An efficient method of graphing information using actual amounts: clusters - gaps - outliers are clearly identified.
Survey
Inferential Statistics
Stem and leaf plots
Continuous Data
48. Square the standard deviation and to find the population variance square of the population standard deviation
range
Sample Variance
Strata sampling
Interval
49. Collection of information from a sample
Statistic (note there is no 's' at the end)
Statistic
Survey
The effect of extreme values on the measures of center
50. Complement of p
Population
Population
q