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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. 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
Characteristic of a distribution
Ratio
Range
Survey
2. Sample standard deviation
Alpha (a)
Simple Random Sample
s
p value left tail
3. A method of data collection where the researcher selects a sample from the population and measures the variable of interest
Sample
H0
Graph
Survey
4. One extreme value can affect it dramatically.
Sample
Descriptive Statistics
The effect of extreme values on the measures of center
s
5. _______________ are numerical values that can assume only a limited number of values
Variable
Discrete Data
Outliers
Percentile
6. For a left tailed test use normalcdf(-999 - ZTS)
p value left tail
S x
Simple random sample
7. The pattern of variation of data. The distribution may be described as symmetrical - positively skewed - or negatively skewed
Simple random sample
s2
P(A)
Distribution
8. 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
N
Bias
Statistic
9. Square the standard deviation and to find the population variance square of the population standard deviation
Systematic sampling
Sample Variance
range
Pictograph
10. A survey that includes every item or individual of the population
Range
Census
Discrete numerical data
Representative Sample
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
Nominal
Census
Stem-and-Leaf display
Independent events
12. A subset of the population- it's important to choose a sample at random to avoid bias in the results
Discrete numerical data
Nominal
Sample
Numerical measurement describing some characteristics of a population.
13. Population is organized into groups (i.e - neighborhoods/departments) - and sampling unit is selected by a simple random sample
Ratio
Cluster sampling
Categorical Variable
14. Collection of information from the whole population
Sample
Census
Graph
Population Size
15. The important aspects of the data are called?
Characteristic of a distribution
Nominal
Disjoint event
Skewed Distribution
16. An efficient method of graphing information using actual amounts: clusters - gaps - outliers are clearly identified.
p value left tail
Descriptive Statistics
Stem and leaf plots
Population
17. Lowercase sigma; population standard deviaition
Sample Variance
What symbol must always be found in H0
Parameter
s
18. 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
Systematic sampling
Stem-and-Leaf display
Simple random sample
Graph
19. Is a collection of several data pertaining to one or more variables
Data Set
Self-selected sample
p value two tailed test
Outlier
20. Statistics
The effect of extreme values on the measures of center
Inferential Statistics
Numerical measurement describing some characteristic of a sample.
Designed experiment
21. Mu; population mean
Population
Graph
Dot plots
22. Sample variance
Range
Distribution
Descriptive Statistics
s2
23. Sample size or number of trials
Population
n
Discrete Data
Range
24. 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).
Systematic sampling
Interval
p value left tail
H0
25. Standard scores and percentile
Simple random sample
S x
Population
The 2 measures of relative standing
26. Before they are arranged or analyzed - information or observations are called________.
Dot plots
Raw Data
Sample Variance
Designed experiment
27. Create a sample by using data from population members that are readily available
Statistic
Census
Convenience sampling
S x
28. A collection of individuals about which we want to draw conclusions
S
Population
Systematic sampling
Census
29. Capital sigma; summation
Statistics
S
Discrete Data
n
30. Represents categories - and is nonnumerical in nature
Categorical Variable
Pictograph
Raw Data
31. 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
Numerical Variable
s
Outliers
32. _______________ are numerical measurements that can assume any value between two numbers
Simple Random Sample
Continuous Data
The effect of extreme values on the measures of center
Distribution
33. Test use normalcdf(ZTS -999)
p value right tail
Survey
The effect of extreme values on the measures of center
Median
34. 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
Statistic
n
Parameter
Symmetric Distribution
35. Double the answer from step 1 or step 2 (on whichever side your test statistics falls).
Statistics
Sample Size
p value two tailed test
36. Type of information - usually a property of characteristic of a person or thing that is measured or observed
Dot plots
Center of Distribution
P(A)
Variable
37. Range - standard deviation and variance.
Sample Size
Dot plots
The 3 measures of variation
Descriptive Statistics
38. Is a number that describes a characteristic of a population
Distribution
Parameter
Sample
Symmetric Distribution
39. Occur when one of them affects the probability of the other.
Dependent events
Stem and leaf plots
Characteristic of a distribution
Designed experiment
40. Occur when one does not affect the probability of the occurrence of the other.
s
Median
Distribution
Independent events
41. A quantity calculated from data gathered from a sample- usually used to estimate a population parameter
The 4 measures of center
Systematic sampling
Statistic
x
42. To find the range subtract the lowest value by the highest value.
Range
Pictograph
s2
Distribution
43. Parameter
Pictograph
Nominal
range
Numerical measurement describing some characteristics of a population.
44. Collection of information from a sample
Numerical measurement describing some characteristics of a population.
Survey
Nominal
Outlier
45. The variable value can be represented as isolated points on a number line
Outlier
Discrete numerical data
n
Graph
46. Is the process of selecting a portion - or sample - of the entire population
Sampling
The 4 measures of center
Data
Simple Random Sample
47. Has the same shape and horizontal scale as a histogram - but the vertical scale is marked with relative frequencies instead of actual frequencies
s2
Dependent events
Relative frequency histogram
Pictograph
48. Is a number that describes a characteristic of a sample
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49. (largest data value) - (smallest data value)
Sample
Characteristic of a distribution
Population
range
50. Mean - mode - median and midrange.
The 4 measures of center
Designed experiment
p value left tail
Strata sampling
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