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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. Disjoint events cannot overlap. They are mutually exclusive if they cannot occur at the same time.
Variable
Bias
Observational study
Disjoint event
2. Square the standard deviation and to find the population variance square of the population standard deviation
Sample
p value left tail
Sample Variance
3. 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
Cluster sampling
Survey
Strata sampling
4. Lowercase sigma; population standard deviaition
Categorical Variable
s
Representative Sample
Survey
5. 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
Parameter
s
Systematic sampling
Stem-and-Leaf display
6. Is a collection of several data pertaining to one or more variables
Sample Variance
Data Set
Distribution
Numerical measurement describing some characteristics of a population.
7. Is the process of using SAMPLE INFORMATION to draw inferences or conclusions about the POPULATION
x
Cluster sampling
Pictograph
Inferential Statistics
8. To find the range subtract the lowest value by the highest value.
Range
Discrete numerical data
Sample Size
Center of Distribution
9. Collection of information from a sample
s2
Median
Raw Data
Survey
10. Sample standard deviation
Discrete Data
Sampling
Representative Sample
s
11. _______________ are numerical measurements that can assume any value between two numbers
The 4 measures of center
p
Continuous Data
Independent events
12. Statistics
Sample Size
Frequency histogram
x
Numerical measurement describing some characteristic of a sample.
13. An individual data value which lies far (above or below) from most or all of the other data values within a distribution
Dot plots
Observational study
Characteristic of a distribution
Outlier
14. Mu; population mean
Frequency
Cluster sampling
Data Set
15. Sample size or number of trials
n
Representative Sample
Stem-and-Leaf display
16. Null hypothesis
Frequency
Descriptive Statistics
H0
Cluster sampling
17. Is a sample containing similar characteristics of the population
Representative Sample
Outliers
x
Numerical measurement describing some characteristics of a population.
18. The important aspects of the data are called?
s
Characteristic of a distribution
range
Numerical measurement describing some characteristics of a population.
19. Sample mean
q
x
Census
Survey
20. 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
Percentile
Representative Sample
Interval
21. Is denoted by 'n' - is the number of data values in the sample
Sampling
Representative Sample
What symbol must always be found in H0
Sample Size
22. Uses numerical and or visual techniques to summarize or describe the data in a clear effective manner
The effect of extreme values on the measures of center
Frequency histogram
Descriptive Statistics
Characteristic of a distribution
23. Complement of p
q
Range
Numerical measurement describing some characteristics of a population.
x
24. For a left tailed test use normalcdf(-999 - ZTS)
Simple Random Sample
Stem and leaf plots
p value left tail
Statistic
25. Represents categories - and is nonnumerical in nature
Categorical Variable
Survey
Outliers
Bias
26. Population proportion
p
Ordinal
Nominal
Dot plots
27. A quantity calculated from data gathered from a sample- usually used to estimate a population parameter
Range
Frequency histogram
p value right tail
Statistic
28. Is a number that describes a characteristic of a population
Parameter
Outlier
Nominal
Stem-and-Leaf display
29. Population size
H0
q
Bias
N
30. Before they are arranged or analyzed - information or observations are called________.
Designed experiment
Sample
Raw Data
Data Set
31. Type II error is measured
Self-selected sample
range
Characteristic of a distribution
32. _______________ are numerical values that can assume only a limited number of values
Discrete Data
N
Convenience sampling
What symbol must always be found in H0
33. Type of bar graph that shows frequency distributions
Frequency histogram
x
p
Stem and leaf plots
34. 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
Center of Distribution
Median
Relative frequency histogram
H0
35. An efficient method of graphing information using actual amounts: clusters - gaps - outliers are clearly identified.
Stem and leaf plots
Ordinal
Characteristic of a distribution
Representative Sample
36. Variable where the value is a number that results from a measurement process - also called numerical data
Stem and leaf plots
Numerical Variable
p value left tail
37. Is a sample that has the pertinent characteristics of the population in the same proportion - as they are included in that population
p value left tail
Frequency histogram
s2
Representative Sample
38. Create a sample by using data from population members that are readily available
Sample
N
Sample Size
Convenience sampling
39. Is the entire collection of all individuals or objects of interest
p value two tailed test
Population
Stem-and-Leaf display
S
40. Mean - mode - median and midrange.
The 4 measures of center
H0
x
N
41. A method in which you randomly choose one number from 'l' to 'k' and continue to select the kth element
Numerical measurement describing some characteristics of a population.
Continuous Data
Systematic sampling
Raw Data
42. The pattern of variation of data. The distribution may be described as symmetrical - positively skewed - or negatively skewed
Range
Frequency histogram
Distribution
43. Determine the location of the middle value of all the data values
Population
Strata sampling
Percentile
Center of Distribution
44. 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
The effect of extreme values on the measures of center
Discrete Data
Ordinal
Characteristic of a distribution
45. Standard scores and percentile
Dot plots
Categorical Variable
Stem-and-Leaf display
The 2 measures of relative standing
46. Alternative hypothesis
Inferential Statistics
Population
Alpha (a)
H1
47. Test use normalcdf(ZTS -999)
Data
p value right tail
Random Sample or Probability Sample
Discrete numerical data
48. Sum of the values
S
The 2 measures of relative standing
S x
Disjoint event
49. (largest data value) - (smallest data value)
Statistics
range
Sample
Population
50. The variable value can be represented as isolated points on a number line
H1
Percentile
Discrete numerical data
Random Sample or Probability Sample