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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. An efficient method of graphing information using actual amounts: clusters - gaps - outliers are clearly identified.
Exploratory data analysis
Stem and leaf plots
Statistic
Population Size
2. The variable value can be represented as isolated points on a number line
Representative Sample
Discrete numerical data
range
Ordinal
3. Population size
Sampling
Simple random sample
What symbol must always be found in H0
N
4. A descriptive tool used to visually describe the characteristics and relationships of collections of data quickly and attractively
Graph
Bias
Sample
Parameter
5. Is a collection of several data pertaining to one or more variables
Data Set
Observational study
Outliers
6. (largest data value) - (smallest data value)
s2
range
s
s
7. 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
Stem and leaf plots
Cluster sampling
Ratio
Graph
8. Information about individuals in a population
Data
Statistics
Cluster sampling
Survey
9. A method in which you randomly choose one number from 'l' to 'k' and continue to select the kth element
Convenience sampling
Systematic sampling
x
Data
10. Create a sample by using data from population members that are readily available
Convenience sampling
Parameter
Outlier
Statistics
11. 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
P(A)
H1
s2
Nominal
12. A flaw in the sampling procedure that makes it more likely that the sample will NOT be representative of population
Parameter
Bias
Alpha (a)
Numerical measurement describing some characteristic of a sample.
13. A subset of the population- it's important to choose a sample at random to avoid bias in the results
s
Observational study
Sample
Center of Distribution
14. Sample size or number of trials
n
Cluster sampling
S
Pictograph
15. Null hypothesis
Convenience sampling
Data
Exploratory data analysis
H0
16. Sample standard deviation
s
Systematic sampling
Skewed Distribution
Self-selected sample
17. Type of bar graph that shows frequency distributions
Statistic
Frequency histogram
Outlier
Simple random sample
18. Is the portion of the population that is selected for study
Frequency histogram
Statistic
Sample
Interval
19. 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.
Discrete numerical data
s2
Pictograph
x
20. Determine the location of the middle value of all the data values
Outlier
Statistic
Center of Distribution
Pictograph
21. Square the standard deviation and to find the population variance square of the population standard deviation
Continuous Data
Sample Variance
Skewed Distribution
Raw Data
22. A method of data collection where the researcher selects a sample from the population and measures the variable of interest
Convenience sampling
Statistic
Data
Survey
23. Population is organized into groups (i.e - neighborhoods/departments) - and sampling unit is selected by a simple random sample
Cluster sampling
Survey
s2
Numerical measurement describing some characteristic of a sample.
24. Sum of the values
S x
s
Sample
p
25. Is the process of using SAMPLE INFORMATION to draw inferences or conclusions about the POPULATION
Statistic
Inferential Statistics
Nominal
H0
26. Population variance
Sample
Characteristic of a distribution
s2
What symbol must always be found in H0
27. Test use normalcdf(ZTS -999)
Parameter
The 4 measures of center
p value right tail
Sample
28. Range - standard deviation and variance.
Random Sample or Probability Sample
The 4 measures of center
The 3 measures of variation
Disjoint event
29. _______________ are numerical measurements that can assume any value between two numbers
s
Sample
N
Continuous Data
30. 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
Random Sample or Probability Sample
range
Raw Data
Skewed Distribution
31. An individual data value which lies far (above or below) from most or all of the other data values within a distribution
Inferential Statistics
Strata sampling
Data Set
Outlier
32. A quantity calculated from data gathered from a sample- usually used to estimate a population parameter
The 2 measures of relative standing
Statistic
Population Size
Interval
33. To find the range subtract the lowest value by the highest value.
The 4 measures of center
n
Range
p
34. Capital sigma; summation
Statistic (note there is no 's' at the end)
Frequency histogram
S
q
35. To divide the population into 2 or more non-overlapping subsets called strata
Disjoint event
s2
Strata sampling
36. _______________ are numerical values that can assume only a limited number of values
Distribution
Disjoint event
Discrete Data
Pictograph
37. The pattern of variation of data. The distribution may be described as symmetrical - positively skewed - or negatively skewed
The 4 measures of center
Nominal
Distribution
38. Is the entire collection of all individuals or objects of interest
s2
Survey
Population
Ordinal
39. Represents categories - and is nonnumerical in nature
Data Set
Alpha (a)
Categorical Variable
Parameter
40. 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
Range
Ratio
Population
Simple Random Sample
41. Occur when one does not affect the probability of the occurrence of the other.
Convenience sampling
Distribution
Independent events
Simple Random Sample
42. 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
range
Numerical Variable
Symmetric Distribution
43. Using graphs and numerical summaries to describe variables in a data set and their relationship
Exploratory data analysis
Survey
Stem and leaf plots
Characteristic of a distribution
44. Standard scores and percentile
Parameter
The 2 measures of relative standing
s
Categorical Variable
45. Sample variance
S
Frequency histogram
s2
N
46. Always use a equal symbol
Simple random sample
Continuous Data
Independent events
What symbol must always be found in H0
47. For a left tailed test use normalcdf(-999 - ZTS)
p value left tail
Symmetric Distribution
Outliers
Frequency histogram
48. The important aspects of the data are called?
Statistic (note there is no 's' at the end)
Characteristic of a distribution
Frequency
Outliers
49. Disjoint events cannot overlap. They are mutually exclusive if they cannot occur at the same time.
Data
Population
Disjoint event
Raw Data
50. A survey that includes every item or individual of the population
Categorical Variable
Census
Sampling
Symmetric Distribution