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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. Collection of information from the whole population
Simple Random Sample
Representative Sample
Census
Data Set
2. Complement of p
Numerical measurement describing some characteristics of a population.
q
p
Nominal
3. Type II error is measured
Dependent events
Nominal
q
4. Type of bar graph that shows frequency distributions
Frequency histogram
Discrete numerical data
Alpha (a)
5. Has the same shape and horizontal scale as a histogram - but the vertical scale is marked with relative frequencies instead of actual frequencies
Continuous Data
Symmetric Distribution
Convenience sampling
Relative frequency histogram
6. The variable value can be represented as isolated points on a number line
Discrete numerical data
s2
Parameter
Systematic sampling
7. _______________ are numerical values that can assume only a limited number of values
Discrete Data
Descriptive Statistics
Independent events
Skewed Distribution
8. Parameter
p
Systematic sampling
Numerical measurement describing some characteristics of a population.
Pictograph
9. 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
Distribution
Random Sample or Probability Sample
Alpha (a)
Data Set
10. A descriptive tool used to visually describe the characteristics and relationships of collections of data quickly and attractively
Outlier
Interval
N
Graph
11. To calculate the percentile take the number of values less than x - divide by total number of values and times by 100.
Sample Size
Descriptive Statistics
Percentile
S
12. 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
The 2 measures of relative standing
P(A)
Observational study
Nominal
13. The important aspects of the data are called?
Skewed Distribution
Observational study
Convenience sampling
Characteristic of a distribution
14. Variable where the value is a number that results from a measurement process - also called numerical data
Numerical Variable
Random Sample or Probability Sample
Census
The 3 measures of variation
15. Sample mean
x
p value left tail
Discrete numerical data
Population
16. A collection of individuals about which we want to draw conclusions
Characteristic of a distribution
Representative Sample
Population
p
17. Is the portion of the population that is selected for study
p
Statistic (note there is no 's' at the end)
Sample
P(A)
18. A method in which you randomly choose one number from 'l' to 'k' and continue to select the kth element
s
Nominal
Systematic sampling
p
19. A number that is used to describe a characteristic of a sample - such as a sample average - is called a __________.
Interval
Statistic
Symmetric Distribution
p value left tail
20. Is a collection of several data pertaining to one or more variables
Data Set
p value right tail
Systematic sampling
Symmetric Distribution
21. Is a sample that has the pertinent characteristics of the population in the same proportion - as they are included in that population
p
Continuous Data
Representative Sample
Nominal
22. 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
Outliers
Population
Statistics
Ordinal
23. Occur when one of them affects the probability of the other.
x
Numerical measurement describing some characteristics of a population.
Percentile
Dependent events
24. Alternative hypothesis
p
H1
Data Set
Independent events
25. _______________ 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
Bias
Representative Sample
Distribution
q
26. Information about individuals in a population
Simple random sample
Population
Data
Outlier
27. 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
Symmetric Distribution
s
Disjoint event
28. Statistics
Numerical measurement describing some characteristic of a sample.
Random Sample or Probability Sample
Stem and leaf plots
Census
29. Probability of event A
n
Graph
s2
P(A)
30. Population variance
Symmetric Distribution
The effect of extreme values on the measures of center
Characteristic of a distribution
s2
31. Population is organized into groups (i.e - neighborhoods/departments) - and sampling unit is selected by a simple random sample
Systematic sampling
Dependent events
Cluster sampling
Frequency histogram
32. Can be used to get an initial graphical view of data
Statistic (note there is no 's' at the end)
Disjoint event
Dot plots
Distribution
33. Is the process of selecting a portion - or sample - of the entire population
Statistics
Sampling
Characteristic of a distribution
p value left tail
34. Disjoint events cannot overlap. They are mutually exclusive if they cannot occur at the same time.
S x
Cluster sampling
Disjoint event
Nominal
35. Type of information - usually a property of characteristic of a person or thing that is measured or observed
Variable
Representative Sample
Skewed Distribution
The 4 measures of center
36. One extreme value can affect it dramatically.
The effect of extreme values on the measures of center
Independent events
Parameter
Descriptive Statistics
37. An efficient method of graphing information using actual amounts: clusters - gaps - outliers are clearly identified.
s2
Parameter
The 4 measures of center
Stem and leaf plots
38. 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
Median
What symbol must always be found in H0
Strata sampling
Frequency histogram
39. Lowercase sigma; population standard deviaition
The 2 measures of relative standing
s
Numerical measurement describing some characteristics of a population.
Graph
40. 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
s2
Outliers
x
Cluster sampling
41. To find the range subtract the lowest value by the highest value.
Distribution
Simple random sample
Survey
Range
42. Mean - mode - median and midrange.
S x
S
Variable
The 4 measures of center
43. Mu; population mean
Variable
Continuous Data
Dot plots
44. Sum of the values
S x
Statistic
Statistic
p value right tail
45. Capital sigma; summation
Cluster sampling
Strata sampling
S
Distribution
46. Is a number that describes a characteristic of a sample
47. Standard scores and percentile
The 2 measures of relative standing
Ratio
Frequency
H1
48. Occur when one does not affect the probability of the occurrence of the other.
Sample Size
Independent events
Sample
Alpha (a)
49. Sample proportion
Skewed Distribution
p
S x
Representative Sample
50. 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
Distribution
The 4 measures of center
Convenience sampling
Ratio