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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 quantity calculated from data gathered from a sample- usually used to estimate a population parameter
Population
Statistic
H0
Statistics
2. Range - standard deviation and variance.
The 3 measures of variation
p value right tail
Nominal
The 2 measures of relative standing
3. 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
Discrete numerical data
Outliers
Sample
Census
4. A number that is used to describe a characteristic of a sample - such as a sample average - is called a __________.
Interval
Statistic
N
Data
5. Disjoint events cannot overlap. They are mutually exclusive if they cannot occur at the same time.
Bias
Statistic
Disjoint event
s2
6. Population proportion
s
Census
p
Frequency histogram
7. A flaw in the sampling procedure that makes it more likely that the sample will NOT be representative of population
Simple random sample
Sample
Bias
Population Size
8. 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
Inferential Statistics
S
Outlier
Skewed Distribution
9. Lowercase sigma; population standard deviaition
Ordinal
s
Sample Size
Representative Sample
10. _______________ are numerical measurements that can assume any value between two numbers
Continuous Data
Population
Relative frequency histogram
Dependent events
11. The important aspects of the data are called?
Nominal
S
Inferential Statistics
Characteristic of a distribution
12. Mean - mode - median and midrange.
The 4 measures of center
Graph
Statistic
Distribution
13. Sample size or number of trials
n
Statistic (note there is no 's' at the end)
Numerical measurement describing some characteristic of a sample.
P(A)
14. _______________ are numerical values that can assume only a limited number of values
S
Center of Distribution
Discrete Data
s2
15. To divide the population into 2 or more non-overlapping subsets called strata
Distribution
H1
Strata sampling
Independent events
16. The pattern of variation of data. The distribution may be described as symmetrical - positively skewed - or negatively skewed
Distribution
Cluster sampling
p value right tail
Population
17. An individual data value which lies far (above or below) from most or all of the other data values within a distribution
Independent events
Census
Representative Sample
Outlier
18. 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
p
Simple Random Sample
Relative frequency histogram
Distribution
19. Is the process of using SAMPLE INFORMATION to draw inferences or conclusions about the POPULATION
Inferential Statistics
Sampling
Percentile
Cluster sampling
20. A method of data collection in which the objects of study are observed in their natural settings and the variables are recorded
Observational study
Sampling
Systematic sampling
Stem and leaf plots
21. Capital sigma; summation
H0
Sample Variance
S
p value right tail
22. Is the process of selecting a portion - or sample - of the entire population
Dot plots
p
Sampling
Population
23. A descriptive tool used to visually describe the characteristics and relationships of collections of data quickly and attractively
Descriptive Statistics
Graph
Median
Population
24. Population is organized into groups (i.e - neighborhoods/departments) - and sampling unit is selected by a simple random sample
n
s
Bias
Cluster sampling
25. Members of the population select themselves by volunteering
Numerical measurement describing some characteristics of a population.
Self-selected sample
s
26. Sample variance
Data Set
s2
Discrete numerical data
Symmetric Distribution
27. 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
Statistics
Statistic
Sample Variance
S
28. Sum of the values
Cluster sampling
Parameter
S x
s
29. 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
Convenience sampling
Symmetric Distribution
Statistic
p value right tail
30. An efficient method of graphing information using actual amounts: clusters - gaps - outliers are clearly identified.
q
Disjoint event
Stem and leaf plots
Characteristic of a distribution
31. 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
Designed experiment
Median
Parameter
Nominal
32. Sample standard deviation
Sample
Self-selected sample
s
Characteristic of a distribution
33. 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
Nominal
s
n
Graph
34. Statistics
Discrete Data
Numerical measurement describing some characteristic of a sample.
Percentile
S
35. 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
Alpha (a)
Symmetric Distribution
Relative frequency histogram
s2
36. A method of experimentation in which you can control as many variables as possible in order to isolate the effects of a response variable
Statistic
Convenience sampling
Designed experiment
p value left tail
37. Double the answer from step 1 or step 2 (on whichever side your test statistics falls).
p value two tailed test
Descriptive Statistics
Outlier
p
38. Always use a equal symbol
Nominal
What symbol must always be found in H0
Categorical Variable
39. Is a number that describes a characteristic of a population
Numerical measurement describing some characteristics of a population.
Pictograph
Parameter
H0
40. Square the standard deviation and to find the population variance square of the population standard deviation
Population Size
Bias
Sample Variance
Graph
41. Is the portion of the population that is selected for study
P(A)
Range
Sample
Designed experiment
42. Probability of event A
Alpha (a)
P(A)
Survey
43. _______________ 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
H0
Self-selected sample
Outliers
44. Is a sample containing similar characteristics of the population
Bias
H0
Representative Sample
range
45. Is the entire collection of all individuals or objects of interest
Percentile
Raw Data
Population
H1
46. Population variance
s2
Stem and leaf plots
Discrete Data
Census
47. (largest data value) - (smallest data value)
Data
The 4 measures of center
range
Interval
48. Complement of p
Exploratory data analysis
Center of Distribution
Statistic (note there is no 's' at the end)
q
49. Using graphs and numerical summaries to describe variables in a data set and their relationship
Sample
The 3 measures of variation
Outliers
Exploratory data analysis
50. Occur when one does not affect the probability of the occurrence of the other.
Skewed Distribution
Cluster sampling
Independent events
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