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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. The variable value can be represented as isolated points on a number line
What symbol must always be found in H0
Survey
H1
Discrete numerical data
2. 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
Sampling
Simple Random Sample
Parameter
Range
3. Sum of the values
S x
Survey
Numerical measurement describing some characteristics of a population.
Symmetric Distribution
4. Using graphs and numerical summaries to describe variables in a data set and their relationship
Discrete numerical data
Symmetric Distribution
Exploratory data analysis
Pictograph
5. Has the same shape and horizontal scale as a histogram - but the vertical scale is marked with relative frequencies instead of actual frequencies
Sample Size
Range
Self-selected sample
Relative frequency histogram
6. Sample variance
Data
Pictograph
Ordinal
s2
7. Is a sample containing similar characteristics of the population
Pictograph
q
Ordinal
Representative Sample
8. A descriptive tool used to visually describe the characteristics and relationships of collections of data quickly and attractively
Characteristic of a distribution
Sample Variance
S
Graph
9. Complement of p
The effect of extreme values on the measures of center
Alpha (a)
Variable
q
10. 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
Descriptive Statistics
P(A)
Strata sampling
Ratio
11. Capital sigma; summation
Sample Variance
Systematic sampling
S
N
12. Type of bar graph that shows frequency distributions
Symmetric Distribution
Frequency histogram
p value two tailed test
13. Occur when one does not affect the probability of the occurrence of the other.
Independent events
Data Set
Interval
Relative frequency histogram
14. Is a sample that has the pertinent characteristics of the population in the same proportion - as they are included in that population
Discrete numerical data
Frequency
Representative Sample
Exploratory data analysis
15. Sample proportion
p
Parameter
Numerical Variable
Descriptive Statistics
16. Information about individuals in a population
Data
Population
Continuous Data
Distribution
17. Alternative hypothesis
H1
Designed experiment
Sample
Ordinal
18. To calculate the percentile take the number of values less than x - divide by total number of values and times by 100.
Stem-and-Leaf display
Percentile
Sample
Numerical measurement describing some characteristic of a sample.
19. A quantity calculated from data gathered from a sample- usually used to estimate a population parameter
q
Statistic
Sample Variance
Systematic sampling
20. The important aspects of the data are called?
Representative Sample
Inferential Statistics
Characteristic of a distribution
Survey
21. A survey that includes every item or individual of the population
Sample Size
s
Discrete numerical data
Census
22. Is the process of selecting a portion - or sample - of the entire population
What symbol must always be found in H0
Discrete numerical data
Sampling
The 4 measures of center
23. Is the portion of the population that is selected for study
Distribution
Ordinal
Sample
Ratio
24. Before they are arranged or analyzed - information or observations are called________.
Parameter
Statistic
Raw Data
Strata sampling
25. 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
Numerical measurement describing some characteristic of a sample.
Statistics
Statistic
Survey
26. Null hypothesis
Range
Population
H0
Parameter
27. Always use a equal symbol
Distribution
s2
Population
What symbol must always be found in H0
28. Mu; population mean
S x
Frequency
Parameter
29. Sample standard deviation
Numerical Variable
p
s
The 2 measures of relative standing
30. A subset of the population- it's important to choose a sample at random to avoid bias in the results
Sample
Statistics
P(A)
Outlier
31. 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
P(A)
Simple random sample
Stem-and-Leaf display
Center of Distribution
32. An individual data value which lies far (above or below) from most or all of the other data values within a distribution
Symmetric Distribution
Outlier
Cluster sampling
Observational study
33. Square the standard deviation and to find the population variance square of the population standard deviation
Simple Random Sample
Dependent events
Sample Variance
Designed experiment
34. Probability of event A
Disjoint event
P(A)
Discrete Data
Statistic
35. Can be used to get an initial graphical view of data
H1
Cluster sampling
Bias
Dot plots
36. (largest data value) - (smallest data value)
Exploratory data analysis
Variable
range
p value two tailed test
37. Is a collection of several data pertaining to one or more variables
Sampling
Inferential Statistics
Data Set
Distribution
38. Is a number that describes a characteristic of a sample
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39. Collection of information from a sample
Self-selected sample
Survey
Continuous Data
Parameter
40. 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
s2
p value two tailed test
Skewed Distribution
Census
41. Population size
S x
s2
N
Center of Distribution
42. 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.
S
Observational study
Raw Data
Pictograph
43. 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
Center of Distribution
Median
Outliers
N
44. 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).
Cluster sampling
Sample
Interval
Data
45. A collection of individuals about which we want to draw conclusions
Population
Outliers
Discrete Data
Sample
46. Is denoted by 'n' - is the number of data values in the sample
Discrete Data
Simple Random Sample
Sample Size
p
47. The number of times each data value occurs
Median
Frequency
p value two tailed test
Systematic sampling
48. A numerical quantity measuring some aspect of the population
Stem-and-Leaf display
Sample Size
Parameter
Continuous Data
49. _______________ are numerical values that can assume only a limited number of values
Discrete Data
Parameter
Sample Variance
Statistics
50. Mean - mode - median and midrange.
Distribution
The 4 measures of center
Population
Parameter