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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. Population proportion
Range
p
Skewed Distribution
Statistic
2. Sample size or number of trials
Median
n
Data Set
s
3. A numerical quantity measuring some aspect of the population
Range
The 4 measures of center
Parameter
Inferential Statistics
4. 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
Simple random sample
Independent events
Nominal
Cluster sampling
5. 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
The effect of extreme values on the measures of center
n
Sample
Stem-and-Leaf display
6. For a left tailed test use normalcdf(-999 - ZTS)
Center of Distribution
Strata sampling
p value left tail
7. Null hypothesis
Raw Data
Parameter
Frequency histogram
H0
8. Is the process of selecting a portion - or sample - of the entire population
Stem-and-Leaf display
q
Sampling
Simple random sample
9. 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).
P(A)
Bias
Census
Interval
10. Type of information - usually a property of characteristic of a person or thing that is measured or observed
Ordinal
Numerical measurement describing some characteristics of a population.
Variable
Independent events
11. Members of the population select themselves by volunteering
Discrete Data
p value left tail
Self-selected sample
The effect of extreme values on the measures of center
12. Alternative hypothesis
p value left tail
S x
H1
Frequency
13. The pattern of variation of data. The distribution may be described as symmetrical - positively skewed - or negatively skewed
Statistics
Distribution
Data
H0
14. 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.
S x
Pictograph
s2
s
15. Has the same shape and horizontal scale as a histogram - but the vertical scale is marked with relative frequencies instead of actual frequencies
Convenience sampling
Relative frequency histogram
Percentile
Population
16. A descriptive tool used to visually describe the characteristics and relationships of collections of data quickly and attractively
Self-selected sample
Sample
Graph
x
17. Test use normalcdf(ZTS -999)
p value left tail
p
N
p value right tail
18. A method of experimentation in which you can control as many variables as possible in order to isolate the effects of a response variable
Statistic
Categorical Variable
Dot plots
Designed experiment
19. 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
Survey
Discrete numerical data
q
20. A method of data collection where the researcher selects a sample from the population and measures the variable of interest
Survey
Self-selected sample
Ordinal
S x
21. Sample variance
s2
Graph
Discrete numerical data
Ratio
22. Collection of information from the whole population
Percentile
Stem and leaf plots
Census
Convenience sampling
23. 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
Simple Random Sample
Raw Data
Outliers
p value right tail
24. _______________ are numerical values that can assume only a limited number of values
Discrete Data
Stem and leaf plots
The 3 measures of variation
q
25. 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
The 4 measures of center
s
Convenience sampling
Ordinal
26. Sample mean
Inferential Statistics
Bias
Discrete numerical data
x
27. Sample proportion
Statistics
p
Frequency histogram
Random Sample or Probability Sample
28. Complement of p
Bias
Sample
q
p
29. Create a sample by using data from population members that are readily available
Convenience sampling
s2
What symbol must always be found in H0
Statistic (note there is no 's' at the end)
30. Using graphs and numerical summaries to describe variables in a data set and their relationship
Discrete Data
The 3 measures of variation
Frequency histogram
Exploratory data analysis
31. Is a sample that has the pertinent characteristics of the population in the same proportion - as they are included in that population
The 2 measures of relative standing
Discrete numerical data
Sample Variance
Representative Sample
32. The number of times each data value occurs
Frequency
What symbol must always be found in H0
Self-selected sample
33. Before they are arranged or analyzed - information or observations are called________.
What symbol must always be found in H0
Raw Data
Population Size
p value left tail
34. 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
Disjoint event
x
Stem-and-Leaf display
Statistics
35. 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
Disjoint event
Exploratory data analysis
Alpha (a)
Outliers
36. Occur when one of them affects the probability of the other.
Systematic sampling
Representative Sample
Dependent events
Census
37. Uses numerical and or visual techniques to summarize or describe the data in a clear effective manner
s
p
Descriptive Statistics
Sample Variance
38. (largest data value) - (smallest data value)
Ordinal
Outlier
range
Numerical measurement describing some characteristic of a sample.
39. A survey that includes every item or individual of the population
Sample
Census
Symmetric Distribution
Ordinal
40. Is a sample containing similar characteristics of the population
Designed experiment
Representative Sample
Population Size
Statistic
41. Is denoted by 'N' - is the number of data values in the population
Population
Systematic sampling
Population Size
Data
42. Sample standard deviation
Stem-and-Leaf display
Median
Independent events
s
43. Determine the location of the middle value of all the data values
x
Center of Distribution
Distribution
The 4 measures of center
44. Is a collection of several data pertaining to one or more variables
Statistic (note there is no 's' at the end)
Data Set
q
Skewed Distribution
45. Probability of event A
q
Observational study
P(A)
S x
46. Range - standard deviation and variance.
s2
Statistic
Exploratory data analysis
The 3 measures of variation
47. A quantity calculated from data gathered from a sample- usually used to estimate a population parameter
Exploratory data analysis
Sample
The effect of extreme values on the measures of center
Statistic
48. Capital sigma; summation
S
Numerical Variable
Categorical Variable
Interval
49. Population size
p
Nominal
N
Dot plots
50. An efficient method of graphing information using actual amounts: clusters - gaps - outliers are clearly identified.
Stem and leaf plots
Categorical Variable
Representative Sample
Parameter