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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. Always use a equal symbol
Sample
The effect of extreme values on the measures of center
Discrete numerical data
What symbol must always be found in H0
2. Test use normalcdf(ZTS -999)
range
N
p value right tail
Variable
3. A method in which you randomly choose one number from 'l' to 'k' and continue to select the kth element
Independent events
Systematic sampling
Exploratory data analysis
Census
4. Sample variance
Characteristic of a distribution
Discrete Data
s2
Sample
5. 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
Sample
What symbol must always be found in H0
range
Statistics
6. Is the portion of the population that is selected for study
Discrete Data
Numerical measurement describing some characteristic of a sample.
Sample
Data
7. Occur when one does not affect the probability of the occurrence of the other.
Skewed Distribution
Independent events
Sample
Dot plots
8. Is a number that describes a characteristic of a sample
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9. 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.
Pictograph
Observational study
N
Center of Distribution
10. Members of the population select themselves by volunteering
Parameter
Self-selected sample
range
Variable
11. Sample mean
Data
x
Raw Data
Graph
12. Complement of p
q
Simple Random Sample
Frequency
13. Before they are arranged or analyzed - information or observations are called________.
Data Set
Simple random sample
S x
Raw Data
14. Can be used to get an initial graphical view of data
Variable
Graph
Population
Dot plots
15. Uses numerical and or visual techniques to summarize or describe the data in a clear effective manner
Descriptive Statistics
Survey
Skewed Distribution
Sample
16. A quantity calculated from data gathered from a sample- usually used to estimate a population parameter
Statistic
Data Set
Survey
17. One extreme value can affect it dramatically.
Sample
Alpha (a)
s
The effect of extreme values on the measures of center
18. Occur when one of them affects the probability of the other.
Distribution
Distribution
Ordinal
Dependent events
19. To calculate the percentile take the number of values less than x - divide by total number of values and times by 100.
Percentile
Dependent events
Distribution
Pictograph
20. Population is organized into groups (i.e - neighborhoods/departments) - and sampling unit is selected by a simple random sample
Statistic (note there is no 's' at the end)
Raw Data
Cluster sampling
Statistics
21. _______________ are numerical values that can assume only a limited number of values
Discrete Data
Data Set
Skewed Distribution
Disjoint event
22. 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
Parameter
Simple random sample
p value left tail
Alpha (a)
23. An individual data value which lies far (above or below) from most or all of the other data values within a distribution
Descriptive Statistics
Discrete numerical data
Population
Outlier
24. Is denoted by 'N' - is the number of data values in the population
Outlier
Population Size
s2
range
25. 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
Strata sampling
Numerical measurement describing some characteristic of a sample.
Alpha (a)
Outliers
26. To find the range subtract the lowest value by the highest value.
Statistic
Symmetric Distribution
n
Range
27. _______________ are numerical measurements that can assume any value between two numbers
Parameter
Continuous Data
Parameter
Dot plots
28. Type of information - usually a property of characteristic of a person or thing that is measured or observed
q
Statistic
Numerical Variable
Variable
29. 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
Distribution
Stem and leaf plots
Stem-and-Leaf display
The 2 measures of relative standing
30. Disjoint events cannot overlap. They are mutually exclusive if they cannot occur at the same time.
Exploratory data analysis
Simple Random Sample
Disjoint event
N
31. 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).
Characteristic of a distribution
Interval
Ordinal
p
32. Determine the location of the middle value of all the data values
Numerical measurement describing some characteristics of a population.
Descriptive Statistics
Numerical Variable
Center of Distribution
33. Mu; population mean
Simple Random Sample
p
Independent events
34. Is the process of using SAMPLE INFORMATION to draw inferences or conclusions about the POPULATION
Center of Distribution
Range
Data
Inferential Statistics
35. The number of times each data value occurs
Bias
Survey
Frequency
Interval
36. Information about individuals in a population
Designed experiment
p
Data
Interval
37. Has the same shape and horizontal scale as a histogram - but the vertical scale is marked with relative frequencies instead of actual frequencies
Survey
H0
Relative frequency histogram
38. 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
Characteristic of a distribution
Census
Random Sample or Probability Sample
39. Variable where the value is a number that results from a measurement process - also called numerical data
Numerical Variable
Raw Data
Numerical measurement describing some characteristics of a population.
Percentile
40. Type of bar graph that shows frequency distributions
S x
Frequency histogram
Strata sampling
range
41. _______________ 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
P(A)
Inferential Statistics
Median
42. To divide the population into 2 or more non-overlapping subsets called strata
Representative Sample
Strata sampling
s2
Simple Random Sample
43. (largest data value) - (smallest data value)
Census
Observational study
range
Representative Sample
44. 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
Statistic (note there is no 's' at the end)
s
Ratio
45. Type II error is measured
Distribution
p value two tailed test
Simple Random Sample
46. For a left tailed test use normalcdf(-999 - ZTS)
Skewed Distribution
p value left tail
Exploratory data analysis
47. Lowercase sigma; population standard deviaition
Independent events
s
Numerical Variable
48. Sample standard deviation
s
Range
Variable
49. Is denoted by 'n' - is the number of data values in the sample
Percentile
Self-selected sample
Sample Size
Discrete numerical data
50. 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
Numerical Variable
Raw Data
Nominal
Bias