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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. (largest data value) - (smallest data value)
Strata sampling
range
Stem and leaf plots
Sampling
2. Test use normalcdf(ZTS -999)
p value right tail
Alpha (a)
n
Strata sampling
3. Population size
Skewed Distribution
N
Interval
Graph
4. Disjoint events cannot overlap. They are mutually exclusive if they cannot occur at the same time.
Sample
Cluster sampling
Disjoint event
Categorical Variable
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
Median
Statistics
Interval
Convenience sampling
6. Type of information - usually a property of characteristic of a person or thing that is measured or observed
S x
Representative Sample
Variable
The 3 measures of variation
7. Is denoted by 'n' - is the number of data values in the sample
Sample Size
p
Self-selected sample
Data
8. A collection of individuals about which we want to draw conclusions
s2
Distribution
Population
Strata sampling
9. Occur when one of them affects the probability of the other.
Numerical Variable
s
p
Dependent events
10. 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
Sample Size
Median
The 3 measures of variation
H0
11. Is the process of using SAMPLE INFORMATION to draw inferences or conclusions about the POPULATION
Dot plots
Dependent events
Inferential Statistics
Data Set
12. Capital sigma; summation
Outlier
S
Independent events
H0
13. A method in which each combination of people has an equal chance of being selected- the sample is representative of the population and is independent
q
Simple random sample
Outliers
Outlier
14. 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).
Representative Sample
Median
Interval
Census
15. The important aspects of the data are called?
Census
Random Sample or Probability Sample
s2
Characteristic of a distribution
16. Variable where the value is a number that results from a measurement process - also called numerical data
Numerical Variable
Sampling
Population
Systematic sampling
17. Information about individuals in a population
Frequency
Median
Data
P(A)
18. Determine the location of the middle value of all the data values
Representative Sample
Center of Distribution
Representative Sample
x
19. Alternative hypothesis
Median
H1
Cluster sampling
Ratio
20. Sum of the values
Statistic (note there is no 's' at the end)
Systematic sampling
What symbol must always be found in H0
S x
21. 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
Alpha (a)
Survey
Center of Distribution
Exploratory data analysis
22. The number of times each data value occurs
Parameter
Alpha (a)
Frequency
Sample
23. 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.
The 3 measures of variation
Pictograph
Sample Size
Skewed Distribution
24. Using graphs and numerical summaries to describe variables in a data set and their relationship
Dot plots
Population
Exploratory data analysis
Percentile
25. A subset of the population- it's important to choose a sample at random to avoid bias in the results
s
Independent events
Sample
p
26. Population variance
Variable
s2
p value right tail
Data Set
27. Is a collection of several data pertaining to one or more variables
Data Set
Independent events
s2
Outlier
28. Is the portion of the population that is selected for study
H1
Strata sampling
Sample
Exploratory data analysis
29. A method of experimentation in which you can control as many variables as possible in order to isolate the effects of a response variable
Random Sample or Probability Sample
Census
Designed experiment
Relative frequency histogram
30. Has the same shape and horizontal scale as a histogram - but the vertical scale is marked with relative frequencies instead of actual frequencies
s
Disjoint event
Relative frequency histogram
Symmetric Distribution
31. The variable value can be represented as isolated points on a number line
P(A)
Convenience sampling
Discrete numerical data
Stem-and-Leaf display
32. Collection of information from the whole population
Characteristic of a distribution
Representative Sample
Census
s2
33. Standard scores and percentile
The 2 measures of relative standing
Characteristic of a distribution
Dependent events
Ordinal
34. Members of the population select themselves by volunteering
Self-selected sample
Outlier
p
Census
35. 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
Statistic
Ordinal
Disjoint event
Stem-and-Leaf display
36. An individual data value which lies far (above or below) from most or all of the other data values within a distribution
p value two tailed test
Outlier
The effect of extreme values on the measures of center
Population
37. Collection of information from a sample
s
Survey
Representative Sample
H1
38. 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
Nominal
Designed experiment
Numerical measurement describing some characteristic of a sample.
Numerical Variable
39. Type of bar graph that shows frequency distributions
Frequency histogram
Random Sample or Probability Sample
Center of Distribution
Strata sampling
40. 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
The 4 measures of center
41. Is a sample containing similar characteristics of the population
Distribution
H1
Representative Sample
The effect of extreme values on the measures of center
42. Represents categories - and is nonnumerical in nature
Skewed Distribution
Simple Random Sample
Categorical Variable
Parameter
43. 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
Raw Data
Ratio
s2
Strata sampling
44. Is the entire collection of all individuals or objects of interest
Population
Graph
Statistic
Numerical measurement describing some characteristic of a sample.
45. 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
Categorical Variable
Dot plots
N
46. A method of data collection in which the objects of study are observed in their natural settings and the variables are recorded
Discrete Data
Numerical measurement describing some characteristic of a sample.
S x
Observational study
47. Statistics
p value right tail
Frequency
Numerical measurement describing some characteristic of a sample.
Independent events
48. Sample size or number of trials
n
Interval
Survey
Statistic
49. 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
Self-selected sample
Skewed Distribution
Random Sample or Probability Sample
S x
50. A method of data collection where the researcher selects a sample from the population and measures the variable of interest
q
Sample
p value two tailed test
Survey