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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. Occur when one does not affect the probability of the occurrence of the other.
Stem-and-Leaf display
S x
Frequency
Independent events
2. Determine the location of the middle value of all the data values
H1
Center of Distribution
Raw Data
3. Members of the population select themselves by volunteering
Self-selected sample
Sample
Symmetric Distribution
Representative Sample
4. The important aspects of the data are called?
Bias
p value left tail
Range
Characteristic of a distribution
5. Disjoint events cannot overlap. They are mutually exclusive if they cannot occur at the same time.
S x
Disjoint event
Discrete Data
Population Size
6. Is the portion of the population that is selected for study
Symmetric Distribution
Sample
The effect of extreme values on the measures of center
The 3 measures of variation
7. The number of times each data value occurs
Random Sample or Probability Sample
Graph
Interval
Frequency
8. Sample variance
Relative frequency histogram
Stem-and-Leaf display
s2
x
9. _______________ 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
range
Ordinal
Survey
10. One extreme value can affect it dramatically.
Distribution
Outliers
The effect of extreme values on the measures of center
P(A)
11. An individual data value which lies far (above or below) from most or all of the other data values within a distribution
Outlier
Numerical Variable
Statistics
Discrete numerical data
12. 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
S x
Range
Random Sample or Probability Sample
Percentile
13. Has the same shape and horizontal scale as a histogram - but the vertical scale is marked with relative frequencies instead of actual frequencies
Discrete numerical data
Relative frequency histogram
Sampling
The 3 measures of variation
14. 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
Sample
Nominal
Representative Sample
Data
15. An efficient method of graphing information using actual amounts: clusters - gaps - outliers are clearly identified.
Stem and leaf plots
Population
Interval
Variable
16. A survey that includes every item or individual of the population
Census
Distribution
Simple Random Sample
s2
17. Is a collection of several data pertaining to one or more variables
Exploratory data analysis
Systematic sampling
Frequency
Data Set
18. Is a sample containing similar characteristics of the population
Simple random sample
H0
Representative Sample
Statistic (note there is no 's' at the end)
19. Square the standard deviation and to find the population variance square of the population standard deviation
Distribution
Sample Variance
Observational study
The 4 measures of center
20. Is the process of using SAMPLE INFORMATION to draw inferences or conclusions about the POPULATION
s2
Range
Sample Size
Inferential Statistics
21. Complement of p
Variable
q
Frequency histogram
What symbol must always be found in H0
22. Null hypothesis
H0
Median
Statistics
P(A)
23. Sample proportion
Parameter
p
Inferential Statistics
Sample
24. 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.
Numerical measurement describing some characteristic of a sample.
Interval
Pictograph
25. Can be used to get an initial graphical view of data
Numerical measurement describing some characteristics of a population.
Dot plots
Parameter
Parameter
26. 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
Simple random sample
S x
Random Sample or Probability Sample
Systematic sampling
27. Information about individuals in a population
Data
Observational study
Sample
Exploratory data analysis
28. For a left tailed test use normalcdf(-999 - ZTS)
H0
p value left tail
Survey
Census
29. A method in which you randomly choose one number from 'l' to 'k' and continue to select the kth element
Distribution
Frequency histogram
Cluster sampling
Systematic sampling
30. Sample mean
Categorical Variable
Statistic
x
Bias
31. Test use normalcdf(ZTS -999)
Representative Sample
Descriptive Statistics
Random Sample or Probability Sample
p value right tail
32. _______________ are numerical measurements that can assume any value between two numbers
s
Continuous Data
Census
Independent events
33. A flaw in the sampling procedure that makes it more likely that the sample will NOT be representative of population
p value right tail
Disjoint event
Strata sampling
Bias
34. Population proportion
p
x
p value right tail
Population Size
35. Level of measurement- Is like the ordinal level - with the additional property that we can determine meaningful amounts of differences between data. However - there is no inherent (natural) zero starting point (where none of the quantity is present).
Data
Sample
Statistics
Interval
36. Mean - mode - median and midrange.
Ratio
Relative frequency histogram
The 4 measures of center
Sample Size
37. Mu; population mean
Data Set
Population
What symbol must always be found in H0
38. _______________ are numerical values that can assume only a limited number of values
Parameter
Discrete Data
Interval
Distribution
39. Using graphs and numerical summaries to describe variables in a data set and their relationship
N
Exploratory data analysis
Statistic
Strata sampling
40. A subset of the population- it's important to choose a sample at random to avoid bias in the results
P(A)
S x
Statistic (note there is no 's' at the end)
Sample
41. Alternative hypothesis
Sample
H1
Interval
range
42. Population size
Census
N
Parameter
Outlier
43. The pattern of variation of data. The distribution may be described as symmetrical - positively skewed - or negatively skewed
p value right tail
Systematic sampling
Stem and leaf plots
Distribution
44. Is a number that describes a characteristic of a population
p value right tail
Observational study
Parameter
Sample
45. Collection of information from a sample
Population
P(A)
Survey
Population
46. Population variance
Median
s2
Survey
Numerical Variable
47. Before they are arranged or analyzed - information or observations are called________.
Data
Percentile
Raw Data
Skewed Distribution
48. Probability of event A
s2
p value left tail
s2
P(A)
49. Lowercase sigma; population standard deviaition
s
Dot plots
Survey
Nominal
50. Is a number that describes a characteristic of a sample
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