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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. A number that is used to describe a characteristic of a sample - such as a sample average - is called a __________.
Parameter
Systematic sampling
Statistic
n
2. Create a sample by using data from population members that are readily available
Sample Size
Convenience sampling
Sample
Interval
3. Complement of p
H1
Numerical measurement describing some characteristics of a population.
q
Statistic (note there is no 's' at the end)
4. 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
Cluster sampling
Designed experiment
Characteristic of a distribution
5. Information about individuals in a population
Data
Sampling
Parameter
Numerical measurement describing some characteristic of a sample.
6. A collection of individuals about which we want to draw conclusions
Graph
Population
S
Interval
7. Population variance
s2
Dot plots
Interval
Statistic (note there is no 's' at the end)
8. One extreme value can affect it dramatically.
The effect of extreme values on the measures of center
Distribution
Outliers
Center of Distribution
9. Sample size or number of trials
Numerical measurement describing some characteristics of a population.
Sample
n
p value left tail
10. Disjoint events cannot overlap. They are mutually exclusive if they cannot occur at the same time.
Sample
n
s
Disjoint event
11. The level of significance and the probability of a type I error (rejecting a true null hypothesis). The area in the tail or tails of a distribution (z - t - or ?2); in hypothesis testing you don't always have a two tailed distribution as in confidenc
Statistic
Discrete Data
Alpha (a)
Data
12. Parameter
Independent events
Statistic
Numerical measurement describing some characteristics of a population.
13. Is a number that describes a characteristic of a population
Parameter
Discrete Data
Self-selected sample
14. Population is organized into groups (i.e - neighborhoods/departments) - and sampling unit is selected by a simple random sample
Cluster sampling
Frequency histogram
Self-selected sample
Outlier
15. A quantity calculated from data gathered from a sample- usually used to estimate a population parameter
Simple random sample
Statistic
s2
Stem-and-Leaf display
16. 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
Outliers
p value two tailed test
x
17. The variable value can be represented as isolated points on a number line
Descriptive Statistics
Symmetric Distribution
Discrete numerical data
Systematic sampling
18. Sample variance
Interval
Statistic
s2
The 3 measures of variation
19. Type II error is measured
p
P(A)
Sample
20. Population proportion
q
Population Size
Frequency
p
21. To divide the population into 2 or more non-overlapping subsets called strata
Strata sampling
Continuous Data
Convenience sampling
n
22. _______________ are numerical values that can assume only a limited number of values
Distribution
Systematic sampling
P(A)
Discrete Data
23. Collection of information from the whole population
Census
Parameter
Symmetric Distribution
What symbol must always be found in H0
24. A descriptive tool used to visually describe the characteristics and relationships of collections of data quickly and attractively
Graph
Statistic
P(A)
Percentile
25. Occur when one does not affect the probability of the occurrence of the other.
Ratio
Independent events
q
Range
26. _______________ are numerical measurements that can assume any value between two numbers
Data
Census
Continuous Data
s
27. Before they are arranged or analyzed - information or observations are called________.
Percentile
Self-selected sample
Skewed Distribution
Raw Data
28. _______________ 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
Outliers
Relative frequency histogram
Survey
29. 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
Stem and leaf plots
Convenience sampling
Raw Data
Nominal
30. A method of data collection in which the objects of study are observed in their natural settings and the variables are recorded
Population
Observational study
Sampling
31. An efficient method of graphing information using actual amounts: clusters - gaps - outliers are clearly identified.
Strata sampling
Stem and leaf plots
n
Independent events
32. Standard scores and percentile
Nominal
Independent events
The 2 measures of relative standing
Discrete Data
33. Type of bar graph that shows frequency distributions
Outlier
Raw Data
Nominal
Frequency histogram
34. 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
p
Simple random sample
p value right tail
Self-selected sample
35. Uses numerical and or visual techniques to summarize or describe the data in a clear effective manner
Inferential Statistics
Descriptive Statistics
range
S
36. Alternative hypothesis
Distribution
H1
s2
s2
37. Is a sample containing similar characteristics of the population
Cluster sampling
Data Set
Skewed Distribution
Representative Sample
38. The important aspects of the data are called?
Characteristic of a distribution
Range
Ratio
Median
39. Represents categories - and is nonnumerical in nature
P(A)
x
Ratio
Categorical Variable
40. Null hypothesis
Disjoint event
H0
Graph
range
41. Type of information - usually a property of characteristic of a person or thing that is measured or observed
Sample Size
Variable
Sample
Pictograph
42. Is a number that describes a characteristic of a sample
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43. To calculate the percentile take the number of values less than x - divide by total number of values and times by 100.
Observational study
The 3 measures of variation
Population Size
Percentile
44. 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
Ordinal
Alpha (a)
x
45. Is the process of selecting a portion - or sample - of the entire population
Sample
Characteristic of a distribution
Sampling
s2
46. An individual data value which lies far (above or below) from most or all of the other data values within a distribution
Outlier
Survey
Descriptive Statistics
Census
47. Double the answer from step 1 or step 2 (on whichever side your test statistics falls).
p value two tailed test
x
N
Skewed Distribution
48. 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
Ordinal
Statistic (note there is no 's' at the end)
What symbol must always be found in H0
Ratio
49. Capital sigma; summation
P(A)
s2
S
Designed experiment
50. For a left tailed test use normalcdf(-999 - ZTS)
What symbol must always be found in H0
p value right tail
Sample
p value left tail