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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. A method in which each combination of people has an equal chance of being selected- the sample is representative of the population and is independent
Simple random sample
Survey
Strata sampling
Median
2. Mean - mode - median and midrange.
Self-selected sample
The 4 measures of center
Representative Sample
Descriptive Statistics
3. One extreme value can affect it dramatically.
The effect of extreme values on the measures of center
Simple Random Sample
Frequency histogram
Sample
4. The level of significance and the probability of a type I error (rejecting a true null hypothesis). The area in the tail or tails of a distribution (z - t - or ?2); in hypothesis testing you don't always have a two tailed distribution as in confidenc
Numerical Variable
Parameter
Alpha (a)
p value right tail
5. Population variance
The 3 measures of variation
Outliers
s2
6. 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
Ratio
Systematic sampling
Relative frequency histogram
Graph
7. Level of measurement- Is like the ordinal level - with the additional property that we can determine meaningful amounts of differences between data. However - there is no inherent (natural) zero starting point (where none of the quantity is present).
Interval
p
Outliers
Simple random sample
8. Collection of information from the whole population
Frequency histogram
Census
Population
p value two tailed test
9. _______________ 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
Dot plots
Distribution
Observational study
Sample Size
10. Sample proportion
Sample
p
Data
Exploratory data analysis
11. Parameter
s2
Graph
Numerical measurement describing some characteristics of a population.
P(A)
12. Is a number that describes a characteristic of a sample
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13. Represents categories - and is nonnumerical in nature
s2
Numerical measurement describing some characteristic of a sample.
Categorical Variable
S
14. Population size
Variable
Designed experiment
N
Strata sampling
15. The variable value can be represented as isolated points on a number line
Interval
Random Sample or Probability Sample
Discrete numerical data
Data
16. Alternative hypothesis
s
H1
Ratio
Dot plots
17. Is denoted by 'N' - is the number of data values in the population
Range
Population Size
Disjoint event
range
18. Sample variance
s2
Random Sample or Probability Sample
Relative frequency histogram
Continuous Data
19. An efficient method of graphing information using actual amounts: clusters - gaps - outliers are clearly identified.
Stem and leaf plots
Outlier
Ratio
s
20. A sample which is selected in such a manner - that each data value of the population has a non-zero probability of being selected for the sample
Random Sample or Probability Sample
Independent events
Nominal
p value left tail
21. Type of information - usually a property of characteristic of a person or thing that is measured or observed
Variable
n
H0
Designed experiment
22. Is a sample of data values selected from a population in such a way that every sample of size 'n' has an equal probability of being selected and every data value of the population has the same chance of being selected for the sample
The 4 measures of center
Simple Random Sample
Frequency histogram
Stem and leaf plots
23. A collection of individuals about which we want to draw conclusions
Interval
Bias
Numerical measurement describing some characteristic of a sample.
Population
24. Population is organized into groups (i.e - neighborhoods/departments) - and sampling unit is selected by a simple random sample
Cluster sampling
Discrete Data
Stem and leaf plots
Statistic
25. A survey that includes every item or individual of the population
s2
S x
Self-selected sample
Census
26. 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
Median
s2
Survey
Nominal
27. Collection of information from a sample
Survey
Representative Sample
s2
H1
28. Is a collection of several data pertaining to one or more variables
Representative Sample
Data Set
H1
Nominal
29. Sample mean
Frequency histogram
Numerical Variable
Numerical measurement describing some characteristics of a population.
x
30. Square the standard deviation and to find the population variance square of the population standard deviation
Sample Variance
Exploratory data analysis
Numerical measurement describing some characteristic of a sample.
H1
31. 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
Ordinal
Simple random sample
s2
Statistic (note there is no 's' at the end)
32. To find the range subtract the lowest value by the highest value.
S x
S
n
Range
33. Occur when one of them affects the probability of the other.
Disjoint event
Dependent events
Characteristic of a distribution
Distribution
34. 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
s2
N
Discrete Data
Statistics
35. _______________ are numerical measurements that can assume any value between two numbers
Statistic
Cluster sampling
Continuous Data
p value left tail
36. Complement of p
Stem-and-Leaf display
q
Strata sampling
Sample
37. Always use a equal symbol
Simple Random Sample
Interval
What symbol must always be found in H0
Ordinal
38. Test use normalcdf(ZTS -999)
Simple Random Sample
p value right tail
P(A)
s
39. A descriptive tool used to visually describe the characteristics and relationships of collections of data quickly and attractively
Symmetric Distribution
Relative frequency histogram
Self-selected sample
Graph
40. A method of data collection in which the objects of study are observed in their natural settings and the variables are recorded
q
Disjoint event
Observational study
Statistic
41. _______________ are numerical values that can assume only a limited number of values
Representative Sample
Population
Discrete Data
Self-selected sample
42. A method of data collection where the researcher selects a sample from the population and measures the variable of interest
Nominal
s
p value left tail
Survey
43. Sample standard deviation
Data Set
s
Categorical Variable
Stem-and-Leaf display
44. The important aspects of the data are called?
Sample Size
s
Skewed Distribution
Characteristic of a distribution
45. 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
x
Alpha (a)
The 3 measures of variation
46. To divide the population into 2 or more non-overlapping subsets called strata
Strata sampling
Interval
Variable
s2
47. Mu; population mean
n
Data Set
Census
48. Information about individuals in a population
Data
Parameter
Sample Size
p
49. Population proportion
Representative Sample
p
What symbol must always be found in H0
Convenience sampling
50. (largest data value) - (smallest data value)
s2
Independent events
s
range