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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. Mean - mode - median and midrange.
The 4 measures of center
Simple Random Sample
s2
Symmetric Distribution
2. Population size
N
Observational study
Convenience sampling
Percentile
3. Variable where the value is a number that results from a measurement process - also called numerical data
Numerical Variable
Disjoint event
The 3 measures of variation
Median
4. Is denoted by 'N' - is the number of data values in the population
Disjoint event
Pictograph
s
Population Size
5. Null hypothesis
Range
Dot plots
Census
H0
6. 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
Data Set
Stem-and-Leaf display
s
Census
7. Population proportion
p
Discrete Data
Representative Sample
Statistics
8. Alternative hypothesis
s2
P(A)
H1
Sample Size
9. Sample size or number of trials
Survey
Interval
n
Strata sampling
10. Statistics
Independent events
Numerical measurement describing some characteristic of a sample.
Dot plots
What symbol must always be found in H0
11. (largest data value) - (smallest data value)
range
p
Population
Numerical measurement describing some characteristics of a population.
12. 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
Ordinal
Simple random sample
Range
Characteristic of a distribution
13. Sample standard deviation
p value right tail
s
The 2 measures of relative standing
Numerical measurement describing some characteristic of a sample.
14. A number that is used to describe a characteristic of a sample - such as a sample average - is called a __________.
Pictograph
Statistic
N
15. Create a sample by using data from population members that are readily available
Convenience sampling
Survey
Representative Sample
Percentile
16. The important aspects of the data are called?
Symmetric Distribution
Characteristic of a distribution
Exploratory data analysis
range
17. Information about individuals in a population
Raw Data
Characteristic of a distribution
Ratio
Data
18. A method of data collection in which the objects of study are observed in their natural settings and the variables are recorded
Observational study
s2
The effect of extreme values on the measures of center
Characteristic of a distribution
19. Mu; population mean
Sampling
Numerical measurement describing some characteristics of a population.
Population Size
20. 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
Simple Random Sample
Census
S
Categorical Variable
21. 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
Relative frequency histogram
Alpha (a)
Statistic
Range
22. Type of bar graph that shows frequency distributions
Frequency histogram
The effect of extreme values on the measures of center
Exploratory data analysis
Graph
23. For a left tailed test use normalcdf(-999 - ZTS)
Distribution
Census
p value left tail
Representative Sample
24. 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
Stem and leaf plots
Systematic sampling
Continuous Data
25. 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
Dot plots
Skewed Distribution
Median
Strata sampling
26. Population variance
Statistic
Percentile
Outlier
s2
27. Lowercase sigma; population standard deviaition
Exploratory data analysis
Descriptive Statistics
The effect of extreme values on the measures of center
s
28. Parameter
Relative frequency histogram
Pictograph
Sample
Numerical measurement describing some characteristics of a population.
29. Uses numerical and or visual techniques to summarize or describe the data in a clear effective manner
Percentile
Descriptive Statistics
Symmetric Distribution
Range
30. Is a collection of several data pertaining to one or more variables
Statistics
Range
Data Set
Random Sample or Probability Sample
31. Complement of p
p
q
What symbol must always be found in H0
Sample
32. A descriptive tool used to visually describe the characteristics and relationships of collections of data quickly and attractively
Statistic
P(A)
Distribution
Graph
33. 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
s2
The 2 measures of relative standing
Pictograph
34. A method in which you randomly choose one number from 'l' to 'k' and continue to select the kth element
Strata sampling
Census
Parameter
Systematic sampling
35. Is the process of selecting a portion - or sample - of the entire population
Simple random sample
Sampling
H0
Variable
36. Can be used to get an initial graphical view of data
Dot plots
Population
Self-selected sample
Graph
37. Occur when one does not affect the probability of the occurrence of the other.
Independent events
Self-selected sample
Designed experiment
Distribution
38. Disjoint events cannot overlap. They are mutually exclusive if they cannot occur at the same time.
Disjoint event
The effect of extreme values on the measures of center
Data
39. An individual data value which lies far (above or below) from most or all of the other data values within a distribution
Dot plots
Numerical measurement describing some characteristics of a population.
Discrete numerical data
Outlier
40. Is the portion of the population that is selected for study
Center of Distribution
Parameter
Pictograph
Sample
41. To find the range subtract the lowest value by the highest value.
H0
Parameter
Independent events
Range
42. Population is organized into groups (i.e - neighborhoods/departments) - and sampling unit is selected by a simple random sample
N
Cluster sampling
Ordinal
Designed experiment
43. Capital sigma; summation
p value two tailed test
S
Median
Distribution
44. Is a number that describes a characteristic of a sample
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45. Always use a equal symbol
Statistic
What symbol must always be found in H0
The 4 measures of center
Cluster sampling
46. 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
Median
Simple random sample
Census
47. One extreme value can affect it dramatically.
range
Stem-and-Leaf display
The effect of extreme values on the measures of center
48. A survey that includes every item or individual of the population
Population
Alpha (a)
Census
49. A subset of the population- it's important to choose a sample at random to avoid bias in the results
Discrete Data
p value left tail
Sample
p value two tailed test
50. Is denoted by 'n' - is the number of data values in the sample
Sample Size
Self-selected sample
The 3 measures of variation
Center of Distribution