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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 proportion
H0
Categorical Variable
N
p
2. 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
Median
Nominal
p
What symbol must always be found in H0
3. Uses numerical and or visual techniques to summarize or describe the data in a clear effective manner
Descriptive Statistics
x
Range
Exploratory data analysis
4. 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
The 4 measures of center
Variable
Stem and leaf plots
Median
5. Parameter
Numerical measurement describing some characteristics of a population.
Ratio
Bias
Outliers
6. Is a number that describes a characteristic of a sample
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7. To calculate the percentile take the number of values less than x - divide by total number of values and times by 100.
Percentile
Symmetric Distribution
Ordinal
8. Sample standard deviation
s
Survey
Skewed Distribution
Interval
9. 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.
Statistic
Pictograph
What symbol must always be found in H0
Independent events
10. Lowercase sigma; population standard deviaition
Continuous Data
s
Dependent events
Skewed Distribution
11. Type of bar graph that shows frequency distributions
The effect of extreme values on the measures of center
Discrete numerical data
Distribution
Frequency histogram
12. Is the process of selecting a portion - or sample - of the entire population
Sampling
Statistics
Sample Variance
Range
13. Always use a equal symbol
What symbol must always be found in H0
Statistic
H0
Graph
14. 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
Dot plots
Frequency
Stem-and-Leaf display
Raw Data
15. Null hypothesis
H0
s
Center of Distribution
Interval
16. Occur when one of them affects the probability of the other.
Representative Sample
Dependent events
Strata sampling
Percentile
17. 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
Dependent events
Outliers
Survey
Graph
18. Determine the location of the middle value of all the data values
Inferential Statistics
Center of Distribution
Dot plots
The effect of extreme values on the measures of center
19. A flaw in the sampling procedure that makes it more likely that the sample will NOT be representative of population
Numerical measurement describing some characteristic of a sample.
Cluster sampling
Statistics
Bias
20. A method of experimentation in which you can control as many variables as possible in order to isolate the effects of a response variable
Designed experiment
Ordinal
s2
Representative Sample
21. The pattern of variation of data. The distribution may be described as symmetrical - positively skewed - or negatively skewed
Distribution
Outlier
Alpha (a)
Graph
22. Occur when one does not affect the probability of the occurrence of the other.
s
Discrete Data
Descriptive Statistics
Independent events
23. Mean - mode - median and midrange.
The 4 measures of center
s2
Census
Statistic
24. Is the entire collection of all individuals or objects of interest
Representative Sample
S x
Population
Distribution
25. An efficient method of graphing information using actual amounts: clusters - gaps - outliers are clearly identified.
Sample Size
Stem and leaf plots
Statistic
p value left tail
26. Sample variance
s2
Independent events
Relative frequency histogram
Survey
27. A descriptive tool used to visually describe the characteristics and relationships of collections of data quickly and attractively
Graph
s
n
Designed experiment
28. A survey that includes every item or individual of the population
Census
Convenience sampling
s2
29. The variable value can be represented as isolated points on a number line
Discrete numerical data
Alpha (a)
Nominal
P(A)
30. 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
Numerical measurement describing some characteristics of a population.
Alpha (a)
Systematic sampling
The 4 measures of center
31. Information about individuals in a population
n
Stem-and-Leaf display
Distribution
Data
32. A method of data collection where the researcher selects a sample from the population and measures the variable of interest
Frequency
Dot plots
Percentile
Survey
33. A quantity calculated from data gathered from a sample- usually used to estimate a population parameter
Graph
Representative Sample
Census
Statistic
34. Disjoint events cannot overlap. They are mutually exclusive if they cannot occur at the same time.
x
Disjoint event
Population
Descriptive Statistics
35. 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
Statistics
Survey
Inferential Statistics
The 3 measures of variation
36. Collection of information from a sample
Census
Dependent events
x
Survey
37. Is a sample that has the pertinent characteristics of the population in the same proportion - as they are included in that population
Representative Sample
N
Census
Pictograph
38. 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
Sample
range
Distribution
39. _______________ 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
Interval
Variable
Sample
Distribution
40. Is a collection of several data pertaining to one or more variables
Cluster sampling
p value left tail
Ordinal
Data Set
41. A method of data collection in which the objects of study are observed in their natural settings and the variables are recorded
p
Numerical measurement describing some characteristics of a population.
Observational study
Statistics
42. (largest data value) - (smallest data value)
Designed experiment
Distribution
range
n
43. 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
s
Simple Random Sample
s2
Sampling
44. Type of information - usually a property of characteristic of a person or thing that is measured or observed
Exploratory data analysis
Relative frequency histogram
Variable
Frequency histogram
45. Complement of p
q
Statistics
P(A)
Range
46. A numerical quantity measuring some aspect of the population
s
Census
Dot plots
Parameter
47. Alternative hypothesis
Numerical Variable
Characteristic of a distribution
Independent events
H1
48. Double the answer from step 1 or step 2 (on whichever side your test statistics falls).
p value two tailed test
Raw Data
Sampling
Cluster sampling
49. 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
Graph
Statistics
Skewed Distribution
Parameter
50. Create a sample by using data from population members that are readily available
Convenience sampling
Statistics
Statistic (note there is no 's' at the end)
Population