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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. _______________ 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
Ratio
Pictograph
Statistic (note there is no 's' at the end)
Distribution
2. 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
Outliers
p value right tail
range
Statistic (note there is no 's' at the end)
3. One extreme value can affect it dramatically.
Census
The effect of extreme values on the measures of center
Population
Distribution
4. A method of data collection where the researcher selects a sample from the population and measures the variable of interest
Strata sampling
Survey
Statistic
Frequency histogram
5. Is the process of selecting a portion - or sample - of the entire population
Convenience sampling
Outliers
Sampling
Variable
6. Determine the location of the middle value of all the data values
s2
Center of Distribution
Distribution
P(A)
7. A number that is used to describe a characteristic of a sample - such as a sample average - is called a __________.
Statistic
Parameter
The 3 measures of variation
Range
8. To find the range subtract the lowest value by the highest value.
Pictograph
Range
Convenience sampling
Representative Sample
9. Is a number that describes a characteristic of a sample
10. Capital sigma; summation
Characteristic of a distribution
S
Ordinal
Self-selected sample
11. Parameter
Exploratory data analysis
Convenience sampling
p
Numerical measurement describing some characteristics of a population.
12. Sample variance
p
Self-selected sample
Range
s2
13. Represents categories - and is nonnumerical in nature
Convenience sampling
Descriptive Statistics
Categorical Variable
Sampling
14. The number of times each data value occurs
Frequency
Population
s2
S
15. Sum of the values
Skewed Distribution
Population
S x
P(A)
16. Test use normalcdf(ZTS -999)
Characteristic of a distribution
Observational study
Designed experiment
p value right tail
17. 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
Skewed Distribution
p value two tailed test
Relative frequency histogram
Random Sample or Probability Sample
18. Complement of p
Distribution
Frequency
q
Statistic
19. Create a sample by using data from population members that are readily available
Range
Sample Size
Numerical measurement describing some characteristics of a population.
Convenience sampling
20. 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
The effect of extreme values on the measures of center
Nominal
Random Sample or Probability Sample
Survey
21. Is denoted by 'n' - is the number of data values in the sample
Exploratory data analysis
Sample Size
Nominal
Sample
22. 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
Simple Random Sample
x
Median
The 3 measures of variation
23. Sample mean
Continuous Data
x
Center of Distribution
Census
24. Is a sample containing similar characteristics of the population
Random Sample or Probability Sample
Self-selected sample
Representative Sample
Systematic sampling
25. Standard scores and percentile
Frequency
Outlier
Population Size
The 2 measures of relative standing
26. To divide the population into 2 or more non-overlapping subsets called strata
Strata sampling
s
Convenience sampling
Ratio
27. Uses numerical and or visual techniques to summarize or describe the data in a clear effective manner
Descriptive Statistics
Sample
Sampling
Skewed Distribution
28. Is a number that describes a characteristic of a population
Sampling
Numerical measurement describing some characteristics of a population.
P(A)
Parameter
29. Disjoint events cannot overlap. They are mutually exclusive if they cannot occur at the same time.
Strata sampling
p
Disjoint event
Population
30. Sample size or number of trials
n
Parameter
Numerical measurement describing some characteristics of a population.
Population Size
31. A flaw in the sampling procedure that makes it more likely that the sample will NOT be representative of population
Bias
H0
p
Self-selected sample
32. Probability of event A
Raw Data
P(A)
N
Ordinal
33. Collection of information from the whole population
s2
Census
Symmetric Distribution
Parameter
34. Is denoted by 'N' - is the number of data values in the population
Sampling
Relative frequency histogram
Population Size
Discrete numerical data
35. Type of bar graph that shows frequency distributions
Discrete Data
Statistic
Population
Frequency histogram
36. 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.
Graph
s
Categorical Variable
Pictograph
37. 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
Graph
Statistic (note there is no 's' at the end)
Ordinal
Distribution
38. Population is organized into groups (i.e - neighborhoods/departments) - and sampling unit is selected by a simple random sample
Cluster sampling
Frequency histogram
Distribution
p
39. Has the same shape and horizontal scale as a histogram - but the vertical scale is marked with relative frequencies instead of actual frequencies
Relative frequency histogram
Statistic (note there is no 's' at the end)
s
Nominal
40. Double the answer from step 1 or step 2 (on whichever side your test statistics falls).
p value two tailed test
Sample
Descriptive Statistics
Exploratory data analysis
41. A quantity calculated from data gathered from a sample- usually used to estimate a population parameter
Statistic
Representative Sample
n
Frequency
42. Before they are arranged or analyzed - information or observations are called________.
Pictograph
Raw Data
p value left tail
Dot plots
43. The pattern of variation of data. The distribution may be described as symmetrical - positively skewed - or negatively skewed
Interval
Population
Distribution
Simple Random Sample
44. A descriptive tool used to visually describe the characteristics and relationships of collections of data quickly and attractively
Population Size
S
Graph
Numerical Variable
45. A survey that includes every item or individual of the population
Nominal
Census
Numerical measurement describing some characteristics of a population.
Numerical measurement describing some characteristic of a sample.
46. Is the portion of the population that is selected for study
Sample
Representative Sample
Characteristic of a distribution
Dependent events
47. The important aspects of the data are called?
Characteristic of a distribution
Relative frequency histogram
S
P(A)
48. Occur when one of them affects the probability of the other.
Sample
Dependent events
Characteristic of a distribution
Graph
49. Type II error is measured
Designed experiment
Percentile
Numerical measurement describing some characteristics of a population.
50. Lowercase sigma; population standard deviaition
Disjoint event
s
Statistics
Survey