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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. 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
Median
Alpha (a)
range
2. Null hypothesis
Statistic
Pictograph
H0
Characteristic of a distribution
3. Probability of event A
Cluster sampling
P(A)
Numerical Variable
Symmetric Distribution
4. Statistics
Stem-and-Leaf display
Numerical measurement describing some characteristic of a sample.
Statistic
Independent events
5. _______________ 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
Representative Sample
Frequency
Distribution
S x
6. Can be used to get an initial graphical view of data
x
Dot plots
p value right tail
Representative Sample
7. Standard scores and percentile
Sampling
Data
The 2 measures of relative standing
q
8. A numerical quantity measuring some aspect of the population
Alpha (a)
Parameter
Statistic
q
9. Occur when one of them affects the probability of the other.
Simple random sample
Data
Census
Dependent events
10. Represents categories - and is nonnumerical in nature
Ordinal
Categorical Variable
Data
H1
11. Create a sample by using data from population members that are readily available
Convenience sampling
Disjoint event
Survey
The 3 measures of variation
12. 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
Raw Data
Ordinal
Frequency histogram
13. Sample size or number of trials
s
Population Size
n
The effect of extreme values on the measures of center
14. Is a number that describes a characteristic of a population
Parameter
Inferential Statistics
Frequency
Raw Data
15. Parameter
The 3 measures of variation
Numerical measurement describing some characteristics of a population.
Designed experiment
p value right tail
16. Sample mean
S x
The 3 measures of variation
Dependent events
x
17. 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
Stem-and-Leaf display
Variable
Outliers
The 2 measures of relative standing
18. A number that is used to describe a characteristic of a sample - such as a sample average - is called a __________.
Statistic
Convenience sampling
Statistics
Population
19. A method in which you randomly choose one number from 'l' to 'k' and continue to select the kth element
Stem-and-Leaf display
Statistic
Statistic
Systematic sampling
20. Is the entire collection of all individuals or objects of interest
Survey
Representative Sample
Representative Sample
Population
21. Occur when one does not affect the probability of the occurrence of the other.
Independent events
Alpha (a)
Range
Sampling
22. Variable where the value is a number that results from a measurement process - also called numerical data
Strata sampling
Representative Sample
Discrete Data
Numerical Variable
23. 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
Survey
Ratio
Bias
H1
24. A method of data collection where the researcher selects a sample from the population and measures the variable of interest
Survey
Simple Random Sample
Skewed Distribution
25. Population proportion
Skewed Distribution
p
P(A)
Statistic
26. Is denoted by 'N' - is the number of data values in the population
Cluster sampling
Population Size
The 4 measures of center
S x
27. 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.
H1
Numerical measurement describing some characteristics of a population.
Random Sample or Probability Sample
Pictograph
28. Is denoted by 'n' - is the number of data values in the sample
x
s2
Graph
Sample Size
29. Determine the location of the middle value of all the data values
Population Size
Disjoint event
Center of Distribution
Survey
30. Uses numerical and or visual techniques to summarize or describe the data in a clear effective manner
Center of Distribution
Graph
Descriptive Statistics
Range
31. Test use normalcdf(ZTS -999)
p value right tail
N
Nominal
The effect of extreme values on the measures of center
32. Disjoint events cannot overlap. They are mutually exclusive if they cannot occur at the same time.
Inferential Statistics
Bias
Disjoint event
The 3 measures of variation
33. Range - standard deviation and variance.
Discrete numerical data
The 3 measures of variation
What symbol must always be found in H0
Range
34. A subset of the population- it's important to choose a sample at random to avoid bias in the results
p
p value left tail
Median
Sample
35. To find the range subtract the lowest value by the highest value.
Numerical measurement describing some characteristics of a population.
Range
Discrete numerical data
Dependent events
36. Complement of p
q
N
P(A)
Variable
37. Is the process of using SAMPLE INFORMATION to draw inferences or conclusions about the POPULATION
range
Statistic
Census
Inferential Statistics
38. 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
Distribution
The 3 measures of variation
Symmetric Distribution
Convenience sampling
39. Is a sample that has the pertinent characteristics of the population in the same proportion - as they are included in that population
Data Set
p value left tail
Representative Sample
H1
40. Collection of information from the whole population
Numerical measurement describing some characteristics of a population.
Census
Systematic sampling
Dot plots
41. Is a collection of several data pertaining to one or more variables
What symbol must always be found in H0
Census
Data Set
Center of Distribution
42. An efficient method of graphing information using actual amounts: clusters - gaps - outliers are clearly identified.
Exploratory data analysis
Stem and leaf plots
Population Size
n
43. Lowercase sigma; population standard deviaition
s
Systematic sampling
p value right tail
p value left tail
44. Sample variance
Independent events
s2
Observational study
Systematic sampling
45. A survey that includes every item or individual of the population
Census
s2
The 2 measures of relative standing
Descriptive Statistics
46. A method of data collection in which the objects of study are observed in their natural settings and the variables are recorded
s
Observational study
Discrete Data
Disjoint event
47. One extreme value can affect it dramatically.
P(A)
The effect of extreme values on the measures of center
q
S x
48. 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
Nominal
Statistics
Median
Sample
49. Is the portion of the population that is selected for study
N
Sample
H1
The 4 measures of center
50. Collection of information from a sample
Self-selected sample
Survey
s2
Sampling