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. Lowercase sigma; population standard deviaition
s
Random Sample or Probability Sample
Cluster sampling
2. An efficient method of graphing information using actual amounts: clusters - gaps - outliers are clearly identified.
Stem and leaf plots
n
Frequency
Numerical measurement describing some characteristic of a sample.
3. Uses numerical and or visual techniques to summarize or describe the data in a clear effective manner
Descriptive Statistics
Parameter
Stem-and-Leaf display
P(A)
4. A method of data collection in which the objects of study are observed in their natural settings and the variables are recorded
The 2 measures of relative standing
Variable
Observational study
Pictograph
5. For a left tailed test use normalcdf(-999 - ZTS)
Range
p value left tail
Discrete Data
H1
6. Create a sample by using data from population members that are readily available
Inferential Statistics
Convenience sampling
S
7. Statistics
Systematic sampling
Numerical measurement describing some characteristic of a sample.
range
Representative Sample
8. Is a collection of several data pertaining to one or more variables
Descriptive Statistics
Dot plots
Survey
Data Set
9. 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
Stem-and-Leaf display
Survey
Population
Population Size
10. A numerical quantity measuring some aspect of the population
Pictograph
p
Parameter
Disjoint event
11. A collection of individuals about which we want to draw conclusions
Population
Variable
Census
Discrete numerical data
12. 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
Cluster sampling
Nominal
Bias
Outliers
13. Has the same shape and horizontal scale as a histogram - but the vertical scale is marked with relative frequencies instead of actual frequencies
Dot plots
Relative frequency histogram
Parameter
Representative Sample
14. Mean - mode - median and midrange.
Survey
H1
The 4 measures of center
s
15. Is the process of selecting a portion - or sample - of the entire population
Frequency histogram
H0
Continuous Data
Sampling
16. Is the entire collection of all individuals or objects of interest
p
Population
Statistic (note there is no 's' at the end)
Sample
17. Null hypothesis
Descriptive Statistics
H0
Numerical measurement describing some characteristic of a sample.
Frequency
18. Standard scores and percentile
The 2 measures of relative standing
Numerical Variable
Skewed Distribution
Distribution
19. Probability of event A
s2
Independent events
Sampling
P(A)
20. 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
Skewed Distribution
Distribution
Statistic
Ratio
21. Alternative hypothesis
s2
H1
Continuous Data
Population
22. Population variance
Sample Variance
s2
p value right tail
23. To find the range subtract the lowest value by the highest value.
Range
Parameter
p value right tail
Categorical Variable
24. The variable value can be represented as isolated points on a number line
Skewed Distribution
Population Size
Discrete numerical data
Numerical measurement describing some characteristic of a sample.
25. Variable where the value is a number that results from a measurement process - also called numerical data
p
Numerical Variable
p value left tail
Outlier
26. Is denoted by 'n' - is the number of data values in the sample
Nominal
Independent events
Sample Size
Census
27. Before they are arranged or analyzed - information or observations are called________.
Sample Size
Distribution
Raw Data
Graph
28. Occur when one of them affects the probability of the other.
Alpha (a)
Dependent events
Representative Sample
Statistic
29. _______________ are numerical values that can assume only a limited number of values
Discrete Data
Distribution
Dot plots
p value right tail
30. Population is organized into groups (i.e - neighborhoods/departments) - and sampling unit is selected by a simple random sample
Self-selected sample
Dependent events
Cluster sampling
Frequency
31. Collection of information from a sample
Survey
Statistic (note there is no 's' at the end)
Parameter
p value two tailed test
32. 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
Discrete Data
Percentile
Ordinal
Independent events
33. Sample proportion
p
range
Census
n
34. To calculate the percentile take the number of values less than x - divide by total number of values and times by 100.
Raw Data
Random Sample or Probability Sample
Cluster sampling
Percentile
35. Mu; population mean
Disjoint event
Numerical Variable
Nominal
36. Always use a equal symbol
Data
Representative Sample
What symbol must always be found in H0
s2
37. Members of the population select themselves by volunteering
Data
Self-selected sample
s
Statistics
38. Sum of the values
Dot plots
S x
Numerical Variable
Statistic
39. 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
Statistic
Population
Data Set
40. Is a sample that has the pertinent characteristics of the population in the same proportion - as they are included in that population
Statistic
Disjoint event
Representative Sample
Observational study
41. 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
Outlier
Parameter
Nominal
42. Is the process of using SAMPLE INFORMATION to draw inferences or conclusions about the POPULATION
Inferential Statistics
P(A)
Nominal
p
43. Type of bar graph that shows frequency distributions
Interval
Frequency histogram
s
Ordinal
44. A quantity calculated from data gathered from a sample- usually used to estimate a population parameter
Statistic
Self-selected sample
Pictograph
s2
45. Parameter
s
Numerical measurement describing some characteristics of a population.
Outliers
The 3 measures of variation
46. Determine the location of the middle value of all the data values
Center of Distribution
s
Designed experiment
Dot plots
47. A method of data collection where the researcher selects a sample from the population and measures the variable of interest
Survey
Cluster sampling
range
Outliers
48. Represents categories - and is nonnumerical in nature
Categorical Variable
Census
Symmetric Distribution
Parameter
49. Test use normalcdf(ZTS -999)
p value right tail
Center of Distribution
Variable
Sample
50. A survey that includes every item or individual of the population
Sample
Population
Census
Strata sampling