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Test your basic knowledge |
DSST Intro To Statistics
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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. _______________ are numerical values that can assume only a limited number of values
What symbol must always be found in H0
Discrete Data
Skewed Distribution
Relative frequency histogram
2. 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
Stem-and-Leaf display
Survey
p
Sample
3. A subset of the population- it's important to choose a sample at random to avoid bias in the results
Data
Sample
The effect of extreme values on the measures of center
Population Size
4. A number that is used to describe a characteristic of a sample - such as a sample average - is called a __________.
Statistic
Statistic (note there is no 's' at the end)
Distribution
5. Sample standard deviation
Sample Variance
Characteristic of a distribution
s
6. A collection of individuals about which we want to draw conclusions
Population
Stem-and-Leaf display
Outliers
p
7. Alternative hypothesis
Relative frequency histogram
H1
Data
Range
8. Can be used to get an initial graphical view of data
Dot plots
s2
p value two tailed test
Sampling
9. Variable where the value is a number that results from a measurement process - also called numerical data
Numerical Variable
Random Sample or Probability Sample
Simple random sample
Designed experiment
10. 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
Designed experiment
Observational study
Ordinal
Numerical Variable
11. Double the answer from step 1 or step 2 (on whichever side your test statistics falls).
Statistic
p value two tailed test
The 2 measures of relative standing
Population
12. 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
Dot plots
Bias
Exploratory data analysis
13. One extreme value can affect it dramatically.
Graph
Frequency histogram
Population
The effect of extreme values on the measures of center
14. An individual data value which lies far (above or below) from most or all of the other data values within a distribution
Bias
Outlier
Frequency histogram
Census
15. A method of experimentation in which you can control as many variables as possible in order to isolate the effects of a response variable
Numerical measurement describing some characteristic of a sample.
p
H0
Designed experiment
16. _______________ 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
H1
Data Set
Systematic sampling
17. Mean - mode - median and midrange.
p
The 4 measures of center
s2
Simple Random Sample
18. To divide the population into 2 or more non-overlapping subsets called strata
Discrete numerical data
Parameter
Symmetric Distribution
Strata sampling
19. Complement of p
q
The effect of extreme values on the measures of center
Parameter
20. 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
Cluster sampling
Skewed Distribution
Parameter
21. Population is organized into groups (i.e - neighborhoods/departments) - and sampling unit is selected by a simple random sample
Cluster sampling
Outlier
The 2 measures of relative standing
s2
22. Members of the population select themselves by volunteering
Stem and leaf plots
Self-selected sample
Statistic
Numerical Variable
23. Test use normalcdf(ZTS -999)
p value right tail
Random Sample or Probability Sample
Representative Sample
Dot plots
24. Mu; population mean
q
Continuous Data
Numerical Variable
25. Represents categories - and is nonnumerical in nature
The 2 measures of relative standing
Categorical Variable
Population Size
Alpha (a)
26. The pattern of variation of data. The distribution may be described as symmetrical - positively skewed - or negatively skewed
Bias
Continuous Data
q
Distribution
27. Occur when one of them affects the probability of the other.
Center of Distribution
Inferential Statistics
Population Size
Dependent events
28. Determine the location of the middle value of all the data values
Center of Distribution
H1
Data
Population
29. A quantity calculated from data gathered from a sample- usually used to estimate a population parameter
Median
Outlier
Systematic sampling
Statistic
30. Collection of information from the whole population
Distribution
Discrete numerical data
Census
Population
31. 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
Disjoint event
Parameter
p value left tail
Nominal
32. Before they are arranged or analyzed - information or observations are called________.
s
Raw Data
Descriptive Statistics
Independent events
33. A descriptive tool used to visually describe the characteristics and relationships of collections of data quickly and attractively
Graph
Numerical Variable
Discrete Data
Exploratory data analysis
34. Type of bar graph that shows frequency distributions
Frequency histogram
Distribution
Parameter
p value left tail
35. Always use a equal symbol
Strata sampling
p value right tail
What symbol must always be found in H0
S x
36. Is the process of using SAMPLE INFORMATION to draw inferences or conclusions about the POPULATION
Inferential Statistics
n
Independent events
range
37. Population proportion
Dependent events
Pictograph
p
S x
38. A method of data collection where the researcher selects a sample from the population and measures the variable of interest
Median
Ratio
Survey
Independent events
39. Create a sample by using data from population members that are readily available
Inferential Statistics
Convenience sampling
40. Type of information - usually a property of characteristic of a person or thing that is measured or observed
s2
Variable
N
Frequency
41. 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
Distribution
Outliers
Strata sampling
Representative Sample
42. Is a number that describes a characteristic of a population
p
s2
Parameter
Census
43. Is the process of selecting a portion - or sample - of the entire population
Discrete Data
Survey
Sampling
Numerical measurement describing some characteristic of a sample.
44. Collection of information from a sample
Survey
n
Independent events
Parameter
45. 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.
Pictograph
Outlier
Census
Categorical Variable
46. Range - standard deviation and variance.
Graph
Random Sample or Probability Sample
The 3 measures of variation
Relative frequency histogram
47. Sample variance
Numerical measurement describing some characteristics of a population.
Dependent events
Symmetric Distribution
s2
48. The variable value can be represented as isolated points on a number line
Disjoint event
range
Numerical measurement describing some characteristics of a population.
Discrete numerical data
49. Lowercase sigma; population standard deviaition
Exploratory data analysis
s
Systematic sampling
Categorical Variable
50. Is the portion of the population that is selected for study
Characteristic of a distribution
Sample
Simple random sample
Inferential Statistics
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