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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. Parameter
Dependent events
Stem-and-Leaf display
Distribution
Numerical measurement describing some characteristics of a population.
2. _______________ are numerical values that can assume only a limited number of values
Dependent events
Stem-and-Leaf display
N
Discrete Data
3. Uses numerical and or visual techniques to summarize or describe the data in a clear effective manner
Symmetric Distribution
s2
Descriptive Statistics
Census
4. Create a sample by using data from population members that are readily available
Sampling
Population
Skewed Distribution
Convenience sampling
5. 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
Simple Random Sample
P(A)
s
Pictograph
6. Members of the population select themselves by volunteering
Designed experiment
Numerical Variable
Representative Sample
Self-selected sample
7. Determine the location of the middle value of all the data values
s
Distribution
Center of Distribution
Ratio
8. Is denoted by 'n' - is the number of data values in the sample
Self-selected sample
Sample Size
Discrete Data
Representative Sample
9. 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
x
Alpha (a)
Census
Stem-and-Leaf display
10. Collection of information from a sample
Statistics
Statistic
Dependent events
Survey
11. To find the range subtract the lowest value by the highest value.
Sample
Range
Sample Variance
Population
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
p value two tailed test
Sample Variance
Categorical Variable
Random Sample or Probability Sample
13. Sample proportion
p
Discrete numerical data
Designed experiment
Representative Sample
14. 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
Descriptive Statistics
Outliers
15. Type of bar graph that shows frequency distributions
Frequency histogram
p value right tail
Census
Discrete Data
16. Sample variance
s2
Center of Distribution
p value left tail
The 3 measures of variation
17. Is denoted by 'N' - is the number of data values in the population
Strata sampling
Population Size
Nominal
Cluster sampling
18. 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
Dot plots
Categorical Variable
S x
19. Variable where the value is a number that results from a measurement process - also called numerical data
Outliers
s
Numerical measurement describing some characteristics of a population.
Numerical Variable
20. Is a number that describes a characteristic of a sample
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21. 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
Dot plots
Self-selected sample
Median
Numerical measurement describing some characteristics of a population.
22. A flaw in the sampling procedure that makes it more likely that the sample will NOT be representative of population
Data Set
q
Bias
range
23. A numerical quantity measuring some aspect of the population
Parameter
s2
Convenience sampling
Statistic (note there is no 's' at the end)
24. Is the entire collection of all individuals or objects of interest
Continuous Data
Ordinal
Numerical measurement describing some characteristic of a sample.
Population
25. Occur when one of them affects the probability of the other.
Dependent events
Designed experiment
The effect of extreme values on the measures of center
26. The number of times each data value occurs
Frequency
Cluster sampling
s
Pictograph
27. Population size
N
Graph
Nominal
Frequency
28. (largest data value) - (smallest data value)
Dot plots
Distribution
range
Census
29. 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
Representative Sample
Stem-and-Leaf display
Representative Sample
Ordinal
30. Lowercase sigma; population standard deviaition
s
Statistic
p value two tailed test
p
31. Information about individuals in a population
What symbol must always be found in H0
S
Continuous Data
Data
32. Disjoint events cannot overlap. They are mutually exclusive if they cannot occur at the same time.
Disjoint event
Sample Variance
Ordinal
N
33. A quantity calculated from data gathered from a sample- usually used to estimate a population parameter
Systematic sampling
Statistic
Parameter
Disjoint event
34. One extreme value can affect it dramatically.
The effect of extreme values on the measures of center
Observational study
Sampling
Exploratory data analysis
35. Is the process of using SAMPLE INFORMATION to draw inferences or conclusions about the POPULATION
Outlier
Inferential Statistics
Continuous Data
Dot plots
36. 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
Cluster sampling
N
Nominal
37. Is a collection of several data pertaining to one or more variables
Raw Data
p value left tail
Descriptive Statistics
Data Set
38. Is the process of selecting a portion - or sample - of the entire population
Percentile
Census
Sampling
Data
39. 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
Population
p
Skewed Distribution
The effect of extreme values on the measures of center
40. Has the same shape and horizontal scale as a histogram - but the vertical scale is marked with relative frequencies instead of actual frequencies
Exploratory data analysis
range
Relative frequency histogram
Sampling
41. Standard scores and percentile
Outliers
The 2 measures of relative standing
Parameter
range
42. Is the portion of the population that is selected for study
The effect of extreme values on the measures of center
Sample
s
Disjoint event
43. A subset of the population- it's important to choose a sample at random to avoid bias in the results
Sample
The 2 measures of relative standing
n
Independent events
44. Square the standard deviation and to find the population variance square of the population standard deviation
H0
Sample Variance
s
N
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
Census
Designed experiment
Symmetric Distribution
Stem-and-Leaf display
46. Occur when one does not affect the probability of the occurrence of the other.
Sample Variance
Independent events
Frequency histogram
Descriptive Statistics
47. A survey that includes every item or individual of the population
Census
p
Dot plots
Nominal
48. Is a sample that has the pertinent characteristics of the population in the same proportion - as they are included in that population
Distribution
Population
Representative Sample
Characteristic of a distribution
49. Represents categories - and is nonnumerical in nature
Relative frequency histogram
Dot plots
Convenience sampling
Categorical Variable
50. Population proportion
p
Parameter
Outliers
H0
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