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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.
Numerical measurement describing some characteristics of a population.
Categorical Variable
Stem and leaf plots
Median
2. 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
Outliers
Descriptive Statistics
Statistic
Dependent events
3. Before they are arranged or analyzed - information or observations are called________.
Raw Data
Disjoint event
Ordinal
Observational study
4. Determine the location of the middle value of all the data values
Designed experiment
Center of Distribution
Representative Sample
Exploratory data analysis
5. Always use a equal symbol
What symbol must always be found in H0
P(A)
Interval
Simple Random Sample
6. 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
Symmetric Distribution
Survey
Random Sample or Probability Sample
Frequency histogram
7. To divide the population into 2 or more non-overlapping subsets called strata
Range
Strata sampling
Raw Data
Parameter
8. 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
Independent events
The 4 measures of center
Discrete numerical data
Simple Random Sample
9. Type II error is measured
x
Alpha (a)
Dependent events
10. Is a sample that has the pertinent characteristics of the population in the same proportion - as they are included in that population
Distribution
Representative Sample
Distribution
Raw Data
11. Population is organized into groups (i.e - neighborhoods/departments) - and sampling unit is selected by a simple random sample
H1
Sample
Outliers
Cluster sampling
12. A method of data collection in which the objects of study are observed in their natural settings and the variables are recorded
Census
Representative Sample
Stem and leaf plots
Observational study
13. Occur when one does not affect the probability of the occurrence of the other.
Census
Graph
Independent events
Exploratory data analysis
14. Members of the population select themselves by volunteering
Bias
The 2 measures of relative standing
Median
Self-selected sample
15. A number that is used to describe a characteristic of a sample - such as a sample average - is called a __________.
Statistic
Sample Size
Sampling
16. 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
Simple random sample
Skewed Distribution
N
Random Sample or Probability Sample
17. 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
Statistic (note there is no 's' at the end)
range
Skewed Distribution
18. Can be used to get an initial graphical view of data
Frequency
Discrete numerical data
Dot plots
Inferential Statistics
19. 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
The effect of extreme values on the measures of center
Stem-and-Leaf display
s2
Data Set
20. Statistics
Statistics
s2
Numerical measurement describing some characteristic of a sample.
H1
21. To calculate the percentile take the number of values less than x - divide by total number of values and times by 100.
The effect of extreme values on the measures of center
Convenience sampling
p value left tail
Percentile
22. A method of data collection where the researcher selects a sample from the population and measures the variable of interest
Survey
Convenience sampling
Discrete Data
Graph
23. To find the range subtract the lowest value by the highest value.
Range
What symbol must always be found in H0
Sample Variance
Simple Random Sample
24. Level of measurement- Involves data that may be arranged in some order - but differences between data values either cannot be determined or are meaningless. (Example) Questions on a survey are scored with integers 1 thru 5 with 1 representing strong
Ordinal
Sample Size
x
Population
25. Capital sigma; summation
Distribution
S x
S
P(A)
26. Occur when one of them affects the probability of the other.
Dependent events
Relative frequency histogram
p
Center of Distribution
27. The number of times each data value occurs
Frequency
Statistic (note there is no 's' at the end)
Outliers
The effect of extreme values on the measures of center
28. Create a sample by using data from population members that are readily available
s2
Exploratory data analysis
Convenience sampling
The 2 measures of relative standing
29. Is the entire collection of all individuals or objects of interest
Survey
Designed experiment
Ratio
Population
30. Information about individuals in a population
Data
Survey
H0
Outlier
31. Population proportion
Statistic
p
p value left tail
Bias
32. Sample standard deviation
Numerical measurement describing some characteristics of a population.
Designed experiment
s2
s
33. Uses numerical and or visual techniques to summarize or describe the data in a clear effective manner
s
The 2 measures of relative standing
Nominal
Descriptive Statistics
34. Using graphs and numerical summaries to describe variables in a data set and their relationship
Variable
Exploratory data analysis
The 3 measures of variation
Percentile
35. Null hypothesis
p
Statistics
P(A)
H0
36. _______________ 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
Statistic
Representative Sample
Median
37. Is a number that describes a characteristic of a sample
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38. Is the process of using SAMPLE INFORMATION to draw inferences or conclusions about the POPULATION
S x
Numerical Variable
Statistics
Inferential Statistics
39. A numerical quantity measuring some aspect of the population
Simple random sample
P(A)
S
Parameter
40. Collection of information from a sample
Dependent events
Symmetric Distribution
range
Survey
41. The important aspects of the data are called?
Sample Size
Interval
Characteristic of a distribution
Distribution
42. A method in which you randomly choose one number from 'l' to 'k' and continue to select the kth element
N
Dot plots
Observational study
Systematic sampling
43. Collection of information from the whole population
Census
p
Descriptive Statistics
The effect of extreme values on the measures of center
44. Sample mean
Parameter
x
H1
Ordinal
45. A method of experimentation in which you can control as many variables as possible in order to isolate the effects of a response variable
Population
Statistic
s
Designed experiment
46. 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
Disjoint event
Outliers
Alpha (a)
Independent events
47. Population variance
q
Dependent events
Simple random sample
s2
48. Probability of event A
Self-selected sample
P(A)
S x
Sample
49. Is the process of selecting a portion - or sample - of the entire population
Center of Distribution
p value left tail
Self-selected sample
Sampling
50. 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
Median
Range
The 3 measures of variation
Dependent events