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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. Test use normalcdf(ZTS -999)
Inferential Statistics
p value right tail
Continuous Data
2. 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.
p
p value left tail
Stem-and-Leaf display
Pictograph
3. Type of information - usually a property of characteristic of a person or thing that is measured or observed
Sampling
Variable
Outliers
4. Variable where the value is a number that results from a measurement process - also called numerical data
Numerical Variable
S
Sample Variance
5. Is a collection of several data pertaining to one or more variables
The 2 measures of relative standing
Statistic
Data Set
H1
6. Occur when one does not affect the probability of the occurrence of the other.
Independent events
Survey
Alpha (a)
Sample
7. Create a sample by using data from population members that are readily available
Convenience sampling
Sample Variance
Range
Bias
8. A subset of the population- it's important to choose a sample at random to avoid bias in the results
Sample
The effect of extreme values on the measures of center
Characteristic of a distribution
Ratio
9. A flaw in the sampling procedure that makes it more likely that the sample will NOT be representative of population
Designed experiment
Statistic
Bias
The effect of extreme values on the measures of center
10. Collection of information from a sample
H1
Disjoint event
Survey
S x
11. 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
Parameter
s
Symmetric Distribution
Continuous Data
12. Is denoted by 'n' - is the number of data values in the sample
Parameter
s2
Dependent events
Sample Size
13. Double the answer from step 1 or step 2 (on whichever side your test statistics falls).
Distribution
p value two tailed test
Strata sampling
H0
14. Is a sample that has the pertinent characteristics of the population in the same proportion - as they are included in that population
Bias
Sample Variance
Representative Sample
Range
15. Population size
Frequency histogram
N
Census
Outliers
16. A method in which you randomly choose one number from 'l' to 'k' and continue to select the kth element
Simple random sample
Systematic sampling
The 4 measures of center
Outlier
17. One extreme value can affect it dramatically.
Discrete numerical data
Sample
Discrete Data
The effect of extreme values on the measures of center
18. Complement of p
Stem and leaf plots
Ratio
q
Percentile
19. Mean - mode - median and midrange.
Parameter
Percentile
Simple random sample
The 4 measures of center
20. Statistics
Distribution
Numerical measurement describing some characteristic of a sample.
Sampling
Stem-and-Leaf display
21. 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
Cluster sampling
Characteristic of a distribution
Dot plots
22. A numerical quantity measuring some aspect of the population
Stem-and-Leaf display
Characteristic of a distribution
Parameter
Strata sampling
23. (largest data value) - (smallest data value)
Sample Variance
range
Sample Size
Distribution
24. To calculate the percentile take the number of values less than x - divide by total number of values and times by 100.
s
Convenience sampling
Categorical Variable
Percentile
25. Represents categories - and is nonnumerical in nature
Categorical Variable
Continuous Data
Parameter
range
26. An efficient method of graphing information using actual amounts: clusters - gaps - outliers are clearly identified.
Stem and leaf plots
Inferential Statistics
Strata sampling
Numerical measurement describing some characteristic of a sample.
27. Is a sample containing similar characteristics of the population
Continuous Data
Representative Sample
Stem and leaf plots
Median
28. A quantity calculated from data gathered from a sample- usually used to estimate a population parameter
Strata sampling
Statistic
Numerical Variable
Pictograph
29. Members of the population select themselves by volunteering
Pictograph
Characteristic of a distribution
Self-selected sample
Random Sample or Probability Sample
30. 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
S x
Nominal
Range
H1
31. Sample variance
Numerical Variable
Data Set
s2
Categorical Variable
32. Before they are arranged or analyzed - information or observations are called________.
The 2 measures of relative standing
Raw Data
Stem-and-Leaf display
Variable
33. A method of data collection in which the objects of study are observed in their natural settings and the variables are recorded
Survey
Observational study
The effect of extreme values on the measures of center
Discrete numerical data
34. Is the portion of the population that is selected for study
q
Sample
Raw Data
p
35. To find the range subtract the lowest value by the highest value.
Range
Sample Size
Stem-and-Leaf display
Dot plots
36. Information about individuals in a population
range
p
Strata sampling
Data
37. A method of data collection where the researcher selects a sample from the population and measures the variable of interest
p value right tail
Survey
Outliers
38. Occur when one of them affects the probability of the other.
Stem-and-Leaf display
Interval
P(A)
Dependent events
39. Disjoint events cannot overlap. They are mutually exclusive if they cannot occur at the same time.
Raw Data
The 4 measures of center
Range
Disjoint event
40. 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
Skewed Distribution
Interval
Population
Discrete numerical data
41. 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
Symmetric Distribution
Designed experiment
Simple Random Sample
42. A number that is used to describe a characteristic of a sample - such as a sample average - is called a __________.
Sample Size
Statistic
Independent events
Systematic sampling
43. A method of experimentation in which you can control as many variables as possible in order to isolate the effects of a response variable
Simple Random Sample
Designed experiment
p
The 2 measures of relative standing
44. Is the process of using SAMPLE INFORMATION to draw inferences or conclusions about the POPULATION
Parameter
The 2 measures of relative standing
Stem-and-Leaf display
Inferential Statistics
45. An individual data value which lies far (above or below) from most or all of the other data values within a distribution
Outlier
What symbol must always be found in H0
Sampling
Parameter
46. The number of times each data value occurs
Nominal
q
Frequency
Independent events
47. Sum of the values
S x
Census
Exploratory data analysis
48. Sample mean
Symmetric Distribution
x
Distribution
H1
49. Has the same shape and horizontal scale as a histogram - but the vertical scale is marked with relative frequencies instead of actual frequencies
Bias
Sample
Relative frequency histogram
Random Sample or Probability Sample
50. _______________ 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
Systematic sampling
Nominal
Representative Sample