SUBJECTS
|
BROWSE
|
CAREER CENTER
|
POPULAR
|
JOIN
|
LOGIN
Business Skills
|
Soft Skills
|
Basic Literacy
|
Certifications
About
|
Help
|
Privacy
|
Terms
|
Email
Search
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
S
Median
Numerical Variable
Census
2. Test use normalcdf(ZTS -999)
Dependent events
p
p value right tail
3. Complement of p
Strata sampling
q
p value right tail
Population
4. 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.
Pictograph
Skewed Distribution
Statistic (note there is no 's' at the end)
Percentile
5. A sample which is selected in such a manner - that each data value of the population has a non-zero probability of being selected for the sample
N
Random Sample or Probability Sample
Dot plots
Sample Variance
6. A method of data collection where the researcher selects a sample from the population and measures the variable of interest
Numerical Variable
Population
Nominal
Survey
7. _______________ are numerical measurements that can assume any value between two numbers
Continuous Data
Descriptive Statistics
range
Statistics
8. Variable where the value is a number that results from a measurement process - also called numerical data
Numerical Variable
Continuous Data
The 4 measures of center
Data
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).
Interval
Representative Sample
Median
H1
10. A survey that includes every item or individual of the population
Cluster sampling
Survey
Census
Convenience sampling
11. Represents categories - and is nonnumerical in nature
Categorical Variable
Representative Sample
s
q
12. _______________ are numerical values that can assume only a limited number of values
Alpha (a)
Discrete Data
Self-selected sample
p value right tail
13. A method of data collection in which the objects of study are observed in their natural settings and the variables are recorded
Continuous Data
Parameter
Observational study
Systematic sampling
14. A numerical quantity measuring some aspect of the population
Parameter
Dot plots
Pictograph
The effect of extreme values on the measures of center
15. 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
Bias
Categorical Variable
Median
The effect of extreme values on the measures of center
16. A method of experimentation in which you can control as many variables as possible in order to isolate the effects of a response variable
Survey
Pictograph
Percentile
Designed experiment
17. Members of the population select themselves by volunteering
Frequency
H1
Self-selected sample
n
18. 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
Median
Outliers
Ratio
Numerical Variable
19. Always use a equal symbol
N
What symbol must always be found in H0
Frequency
Population
20. Disjoint events cannot overlap. They are mutually exclusive if they cannot occur at the same time.
Disjoint event
p value right tail
Data Set
Outlier
21. 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
Discrete numerical data
Outliers
Survey
range
22. An individual data value which lies far (above or below) from most or all of the other data values within a distribution
Nominal
Convenience sampling
Survey
Outlier
23. _______________ 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
Sample
Cluster sampling
Distribution
Percentile
24. Sum of the values
Parameter
p
S x
Representative Sample
25. Is a sample containing similar characteristics of the population
Nominal
Representative Sample
Survey
Statistic
26. Can be used to get an initial graphical view of data
Variable
Frequency histogram
Dot plots
Census
27. 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
Range
s
Stem-and-Leaf display
Nominal
28. Mu; population mean
Sampling
Median
Symmetric Distribution
29. Has the same shape and horizontal scale as a histogram - but the vertical scale is marked with relative frequencies instead of actual frequencies
Relative frequency histogram
Frequency
p value two tailed test
s
30. 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
Statistics
s
Skewed Distribution
Parameter
31. Capital sigma; summation
Population
S
Systematic sampling
Numerical measurement describing some characteristics of a population.
32. To find the range subtract the lowest value by the highest value.
Range
Census
Variable
33. Statistics
Numerical measurement describing some characteristic of a sample.
Bias
Statistic
Population Size
34. Is the process of selecting a portion - or sample - of the entire population
Population Size
Sampling
Numerical measurement describing some characteristics of a population.
Frequency histogram
35. An efficient method of graphing information using actual amounts: clusters - gaps - outliers are clearly identified.
Stem and leaf plots
Bias
What symbol must always be found in H0
Nominal
36. A subset of the population- it's important to choose a sample at random to avoid bias in the results
Dot plots
The effect of extreme values on the measures of center
Sample
Survey
37. Sample size or number of trials
What symbol must always be found in H0
The effect of extreme values on the measures of center
n
Numerical Variable
38. To divide the population into 2 or more non-overlapping subsets called strata
Descriptive Statistics
Data
Simple Random Sample
Strata sampling
39. Range - standard deviation and variance.
The 3 measures of variation
Representative Sample
Systematic sampling
Center of Distribution
40. Alternative hypothesis
Survey
N
Descriptive Statistics
H1
41. 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
Population
Symmetric Distribution
Systematic sampling
42. Is denoted by 'N' - is the number of data values in the population
H1
range
S
Population Size
43. The important aspects of the data are called?
Relative frequency histogram
Characteristic of a distribution
p value two tailed test
Distribution
44. Mean - mode - median and midrange.
Population
x
The 4 measures of center
Observational study
45. Is a collection of several data pertaining to one or more variables
Parameter
Data Set
H0
Alpha (a)
46. Occur when one does not affect the probability of the occurrence of the other.
Alpha (a)
Representative Sample
Pictograph
Independent events
47. Population variance
The 3 measures of variation
s2
Data Set
48. Sample variance
Exploratory data analysis
S
s2
N
49. Standard scores and percentile
The 2 measures of relative standing
Categorical Variable
Convenience sampling
Sample
50. Uses numerical and or visual techniques to summarize or describe the data in a clear effective manner
Descriptive Statistics
P(A)
The effect of extreme values on the measures of center
The 3 measures of variation