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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. Sample variance
Systematic sampling
s2
Survey
p value two tailed test
2. Disjoint events cannot overlap. They are mutually exclusive if they cannot occur at the same time.
Systematic sampling
Disjoint event
Statistic
range
3. The variable value can be represented as isolated points on a number line
Outliers
Skewed Distribution
The 2 measures of relative standing
Discrete numerical data
4. The important aspects of the data are called?
Percentile
Characteristic of a distribution
Pictograph
Outliers
5. Is the process of selecting a portion - or sample - of the entire population
Characteristic of a distribution
Interval
Convenience sampling
Sampling
6. A method of data collection where the researcher selects a sample from the population and measures the variable of interest
Categorical Variable
p value right tail
Cluster sampling
Survey
7. 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
Outlier
Independent events
Range
8. 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
Random Sample or Probability Sample
Statistic
Symmetric Distribution
Simple random sample
9. 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
Outliers
p value right tail
s
10. A method in which you randomly choose one number from 'l' to 'k' and continue to select the kth element
Systematic sampling
Distribution
s
Center of Distribution
11. Members of the population select themselves by volunteering
Symmetric Distribution
Raw Data
Self-selected sample
Distribution
12. Is denoted by 'n' - is the number of data values in the sample
Sample Size
H1
range
Exploratory data analysis
13. Sample mean
Outliers
Census
range
x
14. Uses numerical and or visual techniques to summarize or describe the data in a clear effective manner
p
Descriptive Statistics
Disjoint event
Distribution
15. Null hypothesis
H0
Parameter
Discrete numerical data
P(A)
16. Sum of the values
S x
Dependent events
Raw Data
p
17. Sample size or number of trials
Designed experiment
Census
Census
n
18. Is a sample that has the pertinent characteristics of the population in the same proportion - as they are included in that population
Representative Sample
The 3 measures of variation
Systematic sampling
Continuous Data
19. 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
Relative frequency histogram
Frequency histogram
p value left tail
Ratio
20. To calculate the percentile take the number of values less than x - divide by total number of values and times by 100.
Cluster sampling
Percentile
Survey
N
21. A subset of the population- it's important to choose a sample at random to avoid bias in the results
Strata sampling
Statistic (note there is no 's' at the end)
Sample
s2
22. Collection of information from a sample
Frequency
S
Survey
s2
23. A numerical quantity measuring some aspect of the population
Dependent events
range
Data
Parameter
24. Capital sigma; summation
p
Alpha (a)
Sample Size
S
25. Population variance
Representative Sample
Exploratory data analysis
Stem-and-Leaf display
s2
26. Standard scores and percentile
Frequency
The 2 measures of relative standing
Simple Random Sample
Sample
27. Range - standard deviation and variance.
S x
Observational study
The 3 measures of variation
Sample Size
28. A collection of individuals about which we want to draw conclusions
Statistic (note there is no 's' at the end)
Survey
Population
Simple random sample
29. Population proportion
p
Survey
H1
Self-selected sample
30. Is a number that describes a characteristic of a population
Data
Statistic
Distribution
Parameter
31. An individual data value which lies far (above or below) from most or all of the other data values within a distribution
Descriptive Statistics
x
Stem and leaf plots
Outlier
32. Parameter
Numerical measurement describing some characteristics of a population.
Numerical Variable
Sample Variance
Interval
33. Mean - mode - median and midrange.
Cluster sampling
The 4 measures of center
Descriptive Statistics
Parameter
34. Square the standard deviation and to find the population variance square of the population standard deviation
Percentile
Sample Variance
What symbol must always be found in H0
Systematic sampling
35. Variable where the value is a number that results from a measurement process - also called numerical data
Dot plots
Numerical Variable
Distribution
Representative Sample
36. 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
S
p
Nominal
Variable
37. Occur when one of them affects the probability of the other.
Population
Symmetric Distribution
Dot plots
Dependent events
38. Population size
Distribution
N
s
Sample
39. Lowercase sigma; population standard deviaition
p value right tail
Independent events
s
Statistics
40. _______________ are numerical measurements that can assume any value between two numbers
Continuous Data
Ratio
Frequency histogram
Sample Size
41. Is a number that describes a characteristic of a sample
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42. Information about individuals in a population
Self-selected sample
Data
Sample
x
43. To divide the population into 2 or more non-overlapping subsets called strata
Population
Alpha (a)
Strata sampling
44. One extreme value can affect it dramatically.
The 3 measures of variation
Nominal
Statistics
The effect of extreme values on the measures of center
45. Represents categories - and is nonnumerical in nature
Parameter
p
Raw Data
Categorical Variable
46. To find the range subtract the lowest value by the highest value.
Sample
s
Range
Characteristic of a distribution
47. Type of information - usually a property of characteristic of a person or thing that is measured or observed
Sample Size
Variable
Sample
Continuous Data
48. Population is organized into groups (i.e - neighborhoods/departments) - and sampling unit is selected by a simple random sample
N
Frequency histogram
Cluster sampling
Population
49. Has the same shape and horizontal scale as a histogram - but the vertical scale is marked with relative frequencies instead of actual frequencies
Center of Distribution
Nominal
Relative frequency histogram
Sampling
50. Complement of p
Exploratory data analysis
q
Characteristic of a distribution
Disjoint event
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