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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. Before they are arranged or analyzed - information or observations are called________.
Numerical Variable
Ordinal
Discrete numerical data
Raw Data
2. A collection of individuals about which we want to draw conclusions
Interval
P(A)
Population
Parameter
3. 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
Sample
Independent events
Stem-and-Leaf display
Symmetric Distribution
4. Represents categories - and is nonnumerical in nature
Sample
Variable
Categorical Variable
5. A method in which you randomly choose one number from 'l' to 'k' and continue to select the kth element
Systematic sampling
Cluster sampling
Stem-and-Leaf display
Self-selected sample
6. Population proportion
p
Inferential Statistics
Numerical measurement describing some characteristic of a sample.
Stem and leaf plots
7. Sum of the values
Outliers
p value right tail
S x
Sample
8. A method of experimentation in which you can control as many variables as possible in order to isolate the effects of a response variable
Designed experiment
Strata sampling
Parameter
p
9. Double the answer from step 1 or step 2 (on whichever side your test statistics falls).
p value two tailed test
s
Simple Random Sample
Symmetric Distribution
10. A method of data collection in which the objects of study are observed in their natural settings and the variables are recorded
s2
s
Observational study
Parameter
11. Disjoint events cannot overlap. They are mutually exclusive if they cannot occur at the same time.
Cluster sampling
Pictograph
Characteristic of a distribution
Disjoint event
12. Is a number that describes a characteristic of a population
H0
Data
Parameter
Graph
13. Statistics
Stem and leaf plots
Numerical measurement describing some characteristic of a sample.
Dot plots
Percentile
14. Can be used to get an initial graphical view of data
The 4 measures of center
Dot plots
Distribution
Numerical Variable
15. Type of bar graph that shows frequency distributions
Descriptive Statistics
Observational study
Frequency histogram
Statistic
16. A numerical quantity measuring some aspect of the population
Data
Pictograph
Parameter
s
17. 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
Discrete numerical data
Alpha (a)
Self-selected sample
Percentile
18. Lowercase sigma; population standard deviaition
Numerical Variable
s
Data
Random Sample or Probability Sample
19. Is the entire collection of all individuals or objects of interest
Population Size
S
Population
Parameter
20. Determine the location of the middle value of all the data values
s
Center of Distribution
Population
Observational study
21. Capital sigma; summation
Census
S
Random Sample or Probability Sample
Graph
22. A method of data collection where the researcher selects a sample from the population and measures the variable of interest
Percentile
Dot plots
Survey
The effect of extreme values on the measures of center
23. Sample proportion
p
s2
Exploratory data analysis
Pictograph
24. To calculate the percentile take the number of values less than x - divide by total number of values and times by 100.
Distribution
Percentile
Nominal
Sample
25. Members of the population select themselves by volunteering
Ordinal
Census
Self-selected sample
The 4 measures of center
26. A descriptive tool used to visually describe the characteristics and relationships of collections of data quickly and attractively
Graph
Alpha (a)
Disjoint event
H1
27. An efficient method of graphing information using actual amounts: clusters - gaps - outliers are clearly identified.
Dependent events
s2
Stem and leaf plots
Characteristic of a distribution
28. Is a number that describes a characteristic of a sample
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29. 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
Nominal
Dot plots
Simple Random Sample
Descriptive Statistics
30. Collection of information from a sample
Parameter
Survey
s
P(A)
31. The important aspects of the data are called?
q
range
Dependent events
Characteristic of a distribution
32. Is the portion of the population that is selected for study
Exploratory data analysis
Outliers
s
Sample
33. 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.
Outliers
What symbol must always be found in H0
Pictograph
Numerical Variable
34. Square the standard deviation and to find the population variance square of the population standard deviation
Numerical Variable
Sample Variance
Graph
Statistic
35. Null hypothesis
s2
H0
Cluster sampling
What symbol must always be found in H0
36. Occur when one of them affects the probability of the other.
Characteristic of a distribution
Dependent events
P(A)
Census
37. An individual data value which lies far (above or below) from most or all of the other data values within a distribution
s2
Outlier
Characteristic of a distribution
Median
38. (largest data value) - (smallest data value)
What symbol must always be found in H0
p value two tailed test
range
39. 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
Statistic (note there is no 's' at the end)
p value right tail
Median
s2
40. 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
Statistic (note there is no 's' at the end)
Ordinal
Outliers
41. 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
Representative Sample
Pictograph
Stem-and-Leaf display
Exploratory data analysis
42. Mean - mode - median and midrange.
The 4 measures of center
The effect of extreme values on the measures of center
Range
Outliers
43. Information about individuals in a population
H0
Survey
Self-selected sample
Data
44. Population variance
Representative Sample
Statistic
Characteristic of a distribution
s2
45. One extreme value can affect it dramatically.
The effect of extreme values on the measures of center
P(A)
Statistics
Distribution
46. 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
Outliers
Random Sample or Probability Sample
range
47. A survey that includes every item or individual of the population
Continuous Data
Descriptive Statistics
Distribution
Census
48. Mu; population mean
Interval
S
Census
49. The variable value can be represented as isolated points on a number line
Sample
Categorical Variable
Discrete numerical data
The effect of extreme values on the measures of center
50. A quantity calculated from data gathered from a sample- usually used to estimate a population parameter
Skewed Distribution
Stem and leaf plots
Statistic
Frequency