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. 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
Population
Systematic sampling
Statistics
Population
2. _______________ are numerical measurements that can assume any value between two numbers
Cluster sampling
Inferential Statistics
P(A)
Continuous Data
3. A method in which you randomly choose one number from 'l' to 'k' and continue to select the kth element
s
Systematic sampling
The 4 measures of center
Population Size
4. Lowercase sigma; population standard deviaition
s
p
Self-selected sample
The 3 measures of variation
5. Is a collection of several data pertaining to one or more variables
Survey
Data Set
The 4 measures of center
x
6. The number of times each data value occurs
Numerical measurement describing some characteristics of a population.
s
Strata sampling
Frequency
7. Sample proportion
Discrete Data
The 4 measures of center
p
Statistic
8. A method of experimentation in which you can control as many variables as possible in order to isolate the effects of a response variable
Discrete Data
Designed experiment
Survey
q
9. Square the standard deviation and to find the population variance square of the population standard deviation
Census
Outliers
Sample Variance
Population
10. Occur when one of them affects the probability of the other.
Dependent events
Percentile
P(A)
Center of Distribution
11. Complement of p
q
p
Census
Stem-and-Leaf display
12. 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
Relative frequency histogram
p value left tail
p value right tail
13. Using graphs and numerical summaries to describe variables in a data set and their relationship
Exploratory data analysis
Parameter
Strata sampling
Stem and leaf plots
14. 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
Continuous Data
Ratio
The 2 measures of relative standing
Outliers
15. One extreme value can affect it dramatically.
s
The effect of extreme values on the measures of center
Survey
The 3 measures of variation
16. Is the process of selecting a portion - or sample - of the entire population
Designed experiment
Median
Census
Sampling
17. Create a sample by using data from population members that are readily available
Descriptive Statistics
Discrete Data
Discrete numerical data
Convenience sampling
18. Is a sample that has the pertinent characteristics of the population in the same proportion - as they are included in that population
Observational study
Representative Sample
Parameter
S x
19. Disjoint events cannot overlap. They are mutually exclusive if they cannot occur at the same time.
Interval
Variable
Disjoint event
Census
20. _______________ are numerical values that can assume only a limited number of values
Strata sampling
Discrete Data
H0
The 2 measures of relative standing
21. Mu; population mean
Representative Sample
Sample
Inferential Statistics
22. 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
Outliers
Simple Random Sample
Numerical measurement describing some characteristic of a sample.
23. Mean - mode - median and midrange.
Designed experiment
Parameter
Numerical measurement describing some characteristic of a sample.
The 4 measures of center
24. Before they are arranged or analyzed - information or observations are called________.
Stem-and-Leaf display
Frequency
p value right tail
Raw Data
25. 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
Nominal
Outliers
s2
26. 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.
Stem and leaf plots
Exploratory data analysis
Dependent events
Pictograph
27. 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
range
q
Statistic
28. 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
H0
Relative frequency histogram
Statistic (note there is no 's' at the end)
Stem-and-Leaf display
29. Sum of the values
N
S x
s2
Range
30. Type of information - usually a property of characteristic of a person or thing that is measured or observed
Statistics
Variable
Exploratory data analysis
Symmetric Distribution
31. Parameter
Numerical measurement describing some characteristics of a population.
Stem-and-Leaf display
Categorical Variable
Ratio
32. Collection of information from a sample
Stem and leaf plots
Survey
What symbol must always be found in H0
The 2 measures of relative standing
33. 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
The 3 measures of variation
Range
Variable
34. Variable where the value is a number that results from a measurement process - also called numerical data
The effect of extreme values on the measures of center
Numerical Variable
range
Population
35. An individual data value which lies far (above or below) from most or all of the other data values within a distribution
n
Ratio
Parameter
Outlier
36. Occur when one does not affect the probability of the occurrence of the other.
Numerical Variable
p value two tailed test
Frequency
Independent events
37. Sample size or number of trials
Population Size
Relative frequency histogram
n
S
38. A numerical quantity measuring some aspect of the population
Parameter
Alpha (a)
Census
Population Size
39. A method of data collection where the researcher selects a sample from the population and measures the variable of interest
Frequency histogram
H1
Survey
Data Set
40. 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
Characteristic of a distribution
Random Sample or Probability Sample
p value left tail
Variable
41. Always use a equal symbol
Characteristic of a distribution
What symbol must always be found in H0
Independent events
x
42. 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
Alpha (a)
P(A)
H1
Symmetric Distribution
43. For a left tailed test use normalcdf(-999 - ZTS)
p value left tail
Interval
Sample
Nominal
44. A number that is used to describe a characteristic of a sample - such as a sample average - is called a __________.
Exploratory data analysis
Data
Statistic
Skewed Distribution
45. Test use normalcdf(ZTS -999)
H1
p value right tail
Characteristic of a distribution
Stem-and-Leaf display
46. A quantity calculated from data gathered from a sample- usually used to estimate a population parameter
s2
Categorical Variable
Statistic
Sample
47. Is denoted by 'n' - is the number of data values in the sample
Sampling
Statistic
Sample Size
Inferential Statistics
48. Is the entire collection of all individuals or objects of interest
Population
Representative Sample
Variable
Raw Data
49. The important aspects of the data are called?
Characteristic of a distribution
Representative Sample
Cluster sampling
Sample Variance
50. Has the same shape and horizontal scale as a histogram - but the vertical scale is marked with relative frequencies instead of actual frequencies
Numerical measurement describing some characteristic of a sample.
Data Set
Relative frequency histogram
s