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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. Lowercase sigma; population standard deviaition
Inferential Statistics
Simple random sample
What symbol must always be found in H0
s
2. Statistics
Raw Data
p
Outliers
Numerical measurement describing some characteristic of a sample.
3. Disjoint events cannot overlap. They are mutually exclusive if they cannot occur at the same time.
Continuous Data
Strata sampling
Numerical Variable
Disjoint event
4. The number of times each data value occurs
P(A)
s2
Percentile
Frequency
5. A method of data collection in which the objects of study are observed in their natural settings and the variables are recorded
Sample Variance
s
Graph
Observational study
6. Is a sample containing similar characteristics of the population
Population
Representative Sample
Distribution
7. An efficient method of graphing information using actual amounts: clusters - gaps - outliers are clearly identified.
Stem and leaf plots
N
range
Outliers
8. For a left tailed test use normalcdf(-999 - ZTS)
Convenience sampling
The effect of extreme values on the measures of center
p value left tail
Numerical measurement describing some characteristics of a population.
9. Is the process of selecting a portion - or sample - of the entire population
Statistics
Continuous Data
Alpha (a)
Sampling
10. Is the entire collection of all individuals or objects of interest
Population
Data
H1
p
11. Probability of event A
Variable
Census
Percentile
P(A)
12. Population proportion
Parameter
Sample Size
p
Numerical measurement describing some characteristics of a population.
13. A subset of the population- it's important to choose a sample at random to avoid bias in the results
Sample
Disjoint event
Alpha (a)
Ordinal
14. Using graphs and numerical summaries to describe variables in a data set and their relationship
q
Exploratory data analysis
Discrete numerical data
Stem-and-Leaf display
15. Is denoted by 'n' - is the number of data values in the sample
The 2 measures of relative standing
Nominal
Discrete numerical data
Sample Size
16. Double the answer from step 1 or step 2 (on whichever side your test statistics falls).
Variable
p value two tailed test
q
Categorical Variable
17. 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.
Numerical measurement describing some characteristics of a population.
Pictograph
Median
18. 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
Ordinal
Frequency
Variable
Median
19. 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
Survey
Nominal
Sample Variance
Discrete Data
20. Type of bar graph that shows frequency distributions
Frequency
Census
Statistic (note there is no 's' at the end)
Frequency histogram
21. 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
Center of Distribution
Discrete numerical data
Exploratory data analysis
Stem-and-Leaf display
22. A method in which you randomly choose one number from 'l' to 'k' and continue to select the kth element
Systematic sampling
Sample
Designed experiment
Convenience sampling
23. A quantity calculated from data gathered from a sample- usually used to estimate a population parameter
Statistic
Ordinal
Discrete Data
Frequency histogram
24. _______________ are numerical values that can assume only a limited number of values
Bias
Discrete Data
range
The 2 measures of relative standing
25. Is the process of using SAMPLE INFORMATION to draw inferences or conclusions about the POPULATION
Ordinal
Inferential Statistics
Sample Variance
26. Create a sample by using data from population members that are readily available
Cluster sampling
H0
Statistic
Convenience sampling
27. A number that is used to describe a characteristic of a sample - such as a sample average - is called a __________.
Statistic
Population Size
Population
The 3 measures of variation
28. Sample proportion
p
Simple random sample
S
Median
29. A survey that includes every item or individual of the population
Independent events
Census
Sample
Discrete numerical data
30. The important aspects of the data are called?
Stem-and-Leaf display
Characteristic of a distribution
H1
Frequency
31. Parameter
Numerical measurement describing some characteristics of a population.
Range
N
The effect of extreme values on the measures of center
32. Information about individuals in a population
Ordinal
Convenience sampling
Data
Continuous Data
33. Determine the location of the middle value of all the data values
Data Set
What symbol must always be found in H0
Center of Distribution
Strata sampling
34. Sample mean
x
Dependent events
p value right tail
Designed experiment
35. A flaw in the sampling procedure that makes it more likely that the sample will NOT be representative of population
The 4 measures of center
Bias
H1
Simple Random Sample
36. Null hypothesis
H0
Sample
Numerical Variable
Dependent events
37. Square the standard deviation and to find the population variance square of the population standard deviation
Parameter
P(A)
Sample Variance
q
38. Members of the population select themselves by volunteering
Self-selected sample
Parameter
Range
39. A numerical quantity measuring some aspect of the population
Simple Random Sample
Skewed Distribution
Parameter
s2
40. _______________ are numerical measurements that can assume any value between two numbers
Continuous Data
Stem and leaf plots
Sampling
Statistic
41. Uses numerical and or visual techniques to summarize or describe the data in a clear effective manner
Descriptive Statistics
Sample
s
Convenience sampling
42. (largest data value) - (smallest data value)
Relative frequency histogram
range
Continuous Data
43. Population size
N
The 3 measures of variation
Pictograph
Survey
44. To calculate the percentile take the number of values less than x - divide by total number of values and times by 100.
Percentile
Center of Distribution
Graph
Relative frequency histogram
45. Test use normalcdf(ZTS -999)
Variable
p value right tail
Statistic (note there is no 's' at the end)
46. Standard scores and percentile
Stem-and-Leaf display
The 2 measures of relative standing
Population
Pictograph
47. Sample standard deviation
Data
s
N
Exploratory data analysis
48. To divide the population into 2 or more non-overlapping subsets called strata
p value left tail
Independent events
Strata sampling
Dot plots
49. Type of information - usually a property of characteristic of a person or thing that is measured or observed
Self-selected sample
Ordinal
Stem and leaf plots
Variable
50. Mu; population mean
s
Graph
Outlier