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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 the process of selecting a portion - or sample - of the entire population
Independent events
Population
Sampling
Median
2. Sum of the values
x
S x
q
Sample
3. Parameter
p
p value left tail
Symmetric Distribution
Numerical measurement describing some characteristics of a population.
4. Uses numerical and or visual techniques to summarize or describe the data in a clear effective manner
Stem and leaf plots
Numerical measurement describing some characteristics of a population.
Pictograph
Descriptive Statistics
5. A survey that includes every item or individual of the population
Sample Variance
Census
Convenience sampling
Distribution
6. Capital sigma; summation
Inferential Statistics
S
Survey
Discrete Data
7. The variable value can be represented as isolated points on a number line
Sample
Statistics
Discrete numerical data
p value left tail
8. Using graphs and numerical summaries to describe variables in a data set and their relationship
Interval
Outliers
Exploratory data analysis
Survey
9. Range - standard deviation and variance.
Independent events
H0
The 3 measures of variation
N
10. Is the entire collection of all individuals or objects of interest
Population
Independent events
Exploratory data analysis
Self-selected sample
11. A collection of individuals about which we want to draw conclusions
Distribution
Disjoint event
Population
P(A)
12. Represents categories - and is nonnumerical in nature
p value right tail
Categorical Variable
Sample
The effect of extreme values on the measures of center
13. 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
N
Stem-and-Leaf display
Frequency
Raw Data
14. A method in which you randomly choose one number from 'l' to 'k' and continue to select the kth element
Distribution
Discrete numerical data
Frequency histogram
Systematic sampling
15. Collection of information from the whole population
Census
Simple Random Sample
Distribution
s
16. Is a collection of several data pertaining to one or more variables
The 4 measures of center
Numerical measurement describing some characteristics of a population.
Data Set
Dependent events
17. Variable where the value is a number that results from a measurement process - also called numerical data
Numerical Variable
Numerical measurement describing some characteristic of a sample.
Data Set
Representative Sample
18. _______________ are numerical values that can assume only a limited number of values
Inferential Statistics
Random Sample or Probability Sample
Population Size
Discrete Data
19. The pattern of variation of data. The distribution may be described as symmetrical - positively skewed - or negatively skewed
Distribution
Characteristic of a distribution
Simple random sample
20. Probability of event A
Bias
Characteristic of a distribution
P(A)
Systematic sampling
21. Is the process of using SAMPLE INFORMATION to draw inferences or conclusions about the POPULATION
Inferential Statistics
Disjoint event
Range
s
22. Can be used to get an initial graphical view of data
Dot plots
Sample Size
Population
23. 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
Frequency histogram
Percentile
Numerical measurement describing some characteristic of a sample.
24. Complement of p
Relative frequency histogram
Census
q
Distribution
25. 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
Systematic sampling
Independent events
Frequency histogram
Skewed Distribution
26. 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
Stem and leaf plots
Data Set
Random Sample or Probability Sample
Frequency
27. Mean - mode - median and midrange.
The 4 measures of center
Exploratory data analysis
Distribution
n
28. The important aspects of the data are called?
Systematic sampling
Characteristic of a distribution
Designed experiment
Numerical measurement describing some characteristic of a sample.
29. Mu; population mean
Variable
Representative Sample
Data Set
30. Is denoted by 'n' - is the number of data values in the sample
Statistic
Sample Size
Bias
Outliers
31. Is a number that describes a characteristic of a population
Parameter
The 4 measures of center
Data
Discrete Data
32. Collection of information from a sample
Discrete Data
Population Size
Survey
Strata sampling
33. Is denoted by 'N' - is the number of data values in the population
Population Size
Data Set
S
The 2 measures of relative standing
34. Null hypothesis
Outliers
H0
Distribution
Designed experiment
35. Before they are arranged or analyzed - information or observations are called________.
Raw Data
Independent events
Stem-and-Leaf display
N
36. To find the range subtract the lowest value by the highest value.
Statistic (note there is no 's' at the end)
Range
Sample Variance
Descriptive Statistics
37. 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
The 2 measures of relative standing
Bias
S
38. Create a sample by using data from population members that are readily available
What symbol must always be found in H0
Sample
H1
Convenience sampling
39. Population variance
The 3 measures of variation
Relative frequency histogram
s2
Sampling
40. Alternative hypothesis
What symbol must always be found in H0
H1
Inferential Statistics
N
41. Population is organized into groups (i.e - neighborhoods/departments) - and sampling unit is selected by a simple random sample
p
Raw Data
s
Cluster sampling
42. _______________ 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
Center of Distribution
Distribution
Self-selected sample
Random Sample or Probability Sample
43. Is a sample that has the pertinent characteristics of the population in the same proportion - as they are included in that population
s2
Survey
Representative Sample
Simple Random Sample
44. 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
Numerical Variable
Median
S x
Random Sample or Probability Sample
45. Sample standard deviation
s
Relative frequency histogram
Alpha (a)
s2
46. Lowercase sigma; population standard deviaition
Nominal
Symmetric Distribution
s
Inferential Statistics
47. 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
P(A)
Sampling
x
48. 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
The 4 measures of center
Nominal
Simple Random Sample
49. The number of times each data value occurs
Stem-and-Leaf display
Frequency
n
Simple random sample
50. Is a number that describes a characteristic of a sample
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