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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. Is a number that describes a characteristic of a population
The effect of extreme values on the measures of center
n
The 4 measures of center
Parameter
2. (largest data value) - (smallest data value)
range
H0
Statistic
Observational study
3. 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
Cluster sampling
Median
Simple Random Sample
Center of Distribution
4. Sample variance
Representative Sample
Descriptive Statistics
Census
s2
5. A quantity calculated from data gathered from a sample- usually used to estimate a population parameter
Statistic
The 2 measures of relative standing
Representative Sample
Outlier
6. Sample size or number of trials
Cluster sampling
Numerical measurement describing some characteristic of a sample.
Discrete Data
n
7. Collection of information from a sample
The 4 measures of center
range
H0
Survey
8. Alternative hypothesis
Representative Sample
H1
Frequency
9. Population is organized into groups (i.e - neighborhoods/departments) - and sampling unit is selected by a simple random sample
Cluster sampling
Discrete Data
Dependent events
Simple random sample
10. Is a sample that has the pertinent characteristics of the population in the same proportion - as they are included in that population
s
Representative Sample
Survey
H0
11. 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
Skewed Distribution
Nominal
Observational study
Census
12. Variable where the value is a number that results from a measurement process - also called numerical data
Strata sampling
Skewed Distribution
Numerical Variable
Symmetric Distribution
13. Standard scores and percentile
Representative Sample
n
Census
The 2 measures of relative standing
14. A descriptive tool used to visually describe the characteristics and relationships of collections of data quickly and attractively
Numerical Variable
Outlier
Graph
Strata sampling
15. Range - standard deviation and variance.
Interval
p value left tail
Dependent events
The 3 measures of variation
16. An efficient method of graphing information using actual amounts: clusters - gaps - outliers are clearly identified.
Alpha (a)
Stem and leaf plots
Percentile
Strata sampling
17. To find the range subtract the lowest value by the highest value.
Census
Range
H0
Raw Data
18. Mean - mode - median and midrange.
Independent events
s2
The 4 measures of center
Median
19. Is the entire collection of all individuals or objects of interest
Stem-and-Leaf display
Dot plots
Population
Sampling
20. Null hypothesis
Statistic
p value left tail
The 2 measures of relative standing
H0
21. Sample mean
Survey
Self-selected sample
x
Sampling
22. Members of the population select themselves by volunteering
Sample Size
Disjoint event
Self-selected sample
s
23. One extreme value can affect it dramatically.
Statistics
Designed experiment
The effect of extreme values on the measures of center
The 3 measures of variation
24. Collection of information from the whole population
Sample Size
Census
Dot plots
25. Type of information - usually a property of characteristic of a person or thing that is measured or observed
Bias
Statistic (note there is no 's' at the end)
Pictograph
Variable
26. Information about individuals in a population
Data
S x
Statistics
Representative Sample
27. 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
Outlier
Representative Sample
Pictograph
28. Population variance
Data
s2
S
Statistic
29. 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
Exploratory data analysis
Strata sampling
Ordinal
p
30. 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).
Outliers
Bias
Interval
Population
31. A method of data collection where the researcher selects a sample from the population and measures the variable of interest
Data Set
Distribution
Survey
Simple Random Sample
32. The important aspects of the data are called?
Ordinal
Characteristic of a distribution
Frequency
Range
33. 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
Population Size
Sample Size
Dot plots
Random Sample or Probability Sample
34. An individual data value which lies far (above or below) from most or all of the other data values within a distribution
The 2 measures of relative standing
Relative frequency histogram
Statistic
Outlier
35. Statistics
Outlier
Graph
Numerical measurement describing some characteristic of a sample.
Range
36. Uses numerical and or visual techniques to summarize or describe the data in a clear effective manner
Outliers
Frequency histogram
Bias
Descriptive Statistics
37. 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
Stem-and-Leaf display
Parameter
S x
Self-selected sample
38. A numerical quantity measuring some aspect of the population
Characteristic of a distribution
Parameter
Representative Sample
39. Square the standard deviation and to find the population variance square of the population standard deviation
Sample Variance
Pictograph
n
Alpha (a)
40. _______________ 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
Raw Data
Sample
Representative Sample
41. 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.
Population
range
Pictograph
s2
42. Type of bar graph that shows frequency distributions
Census
p value right tail
Frequency histogram
Observational study
43. 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
Random Sample or Probability Sample
Skewed Distribution
Statistic
Center of Distribution
44. A method of data collection in which the objects of study are observed in their natural settings and the variables are recorded
Ratio
Outlier
Statistic
Observational study
45. Is a number that describes a characteristic of a sample
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46. Population size
Numerical measurement describing some characteristic of a sample.
N
Designed experiment
Relative frequency histogram
47. Sample proportion
Data Set
p
Statistic
Observational study
48. Is denoted by 'n' - is the number of data values in the sample
Data Set
The 4 measures of center
Designed experiment
Sample Size
49. Mu; population mean
Discrete numerical data
Pictograph
range
50. Probability of event A
Stem and leaf plots
Median
P(A)
p value two tailed test
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