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. Population variance
p value two tailed test
Sample
s2
Median
2. 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
Range
Census
Center of Distribution
3. Type of information - usually a property of characteristic of a person or thing that is measured or observed
Disjoint event
Distribution
Inferential Statistics
Variable
4. Double the answer from step 1 or step 2 (on whichever side your test statistics falls).
p value two tailed test
p value right tail
Disjoint event
5. An individual data value which lies far (above or below) from most or all of the other data values within a distribution
Statistic (note there is no 's' at the end)
Outlier
Population
Strata sampling
6. The variable value can be represented as isolated points on a number line
Percentile
Sample
Disjoint event
Discrete numerical data
7. 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
Discrete Data
Random Sample or Probability Sample
H1
Raw Data
8. A number that is used to describe a characteristic of a sample - such as a sample average - is called a __________.
p value two tailed test
Statistic
p
Systematic sampling
9. 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
Census
s
Designed experiment
10. A numerical quantity measuring some aspect of the population
p
Parameter
Variable
p
11. Before they are arranged or analyzed - information or observations are called________.
Population Size
Raw Data
Bias
x
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
Representative Sample
Data Set
Numerical measurement describing some characteristics of a population.
Outliers
13. Sample variance
s2
Simple random sample
Sampling
S
14. Uses numerical and or visual techniques to summarize or describe the data in a clear effective manner
Interval
p value left tail
Descriptive Statistics
Stem and leaf plots
15. One extreme value can affect it dramatically.
p value two tailed test
Stem-and-Leaf display
Outlier
The effect of extreme values on the measures of center
16. Create a sample by using data from population members that are readily available
p value left tail
Numerical measurement describing some characteristics of a population.
Convenience sampling
Alpha (a)
17. 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
Systematic sampling
p
s2
18. Using graphs and numerical summaries to describe variables in a data set and their relationship
Independent events
The 4 measures of center
Exploratory data analysis
Data
19. Capital sigma; summation
S
Raw Data
The 3 measures of variation
Systematic sampling
20. 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
Outlier
Skewed Distribution
Numerical Variable
Continuous Data
21. Is the entire collection of all individuals or objects of interest
N
Population
H0
n
22. Complement of p
q
The effect of extreme values on the measures of center
Sample Size
Simple Random Sample
23. _______________ are numerical measurements that can assume any value between two numbers
Data
Simple Random Sample
Continuous Data
Outliers
24. To calculate the percentile take the number of values less than x - divide by total number of values and times by 100.
p
Simple Random Sample
Population
Percentile
25. Type II error is measured
Self-selected sample
Random Sample or Probability Sample
The 3 measures of variation
26. Collection of information from the whole population
Sample
Nominal
Numerical Variable
Census
27. 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
Symmetric Distribution
Sample Variance
Range
Statistic
28. Mu; population mean
p value right tail
Stem and leaf plots
Ratio
29. A subset of the population- it's important to choose a sample at random to avoid bias in the results
Population
p
Statistic (note there is no 's' at the end)
Sample
30. A quantity calculated from data gathered from a sample- usually used to estimate a population parameter
Sample Size
Statistic
Median
Census
31. Alternative hypothesis
H1
Survey
Frequency
p value left tail
32. _______________ 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
Designed experiment
Range
Random Sample or Probability Sample
Distribution
33. An efficient method of graphing information using actual amounts: clusters - gaps - outliers are clearly identified.
Stem and leaf plots
Disjoint event
s2
p value two tailed test
34. Is the process of selecting a portion - or sample - of the entire population
Center of Distribution
Sampling
Categorical Variable
Strata sampling
35. Test use normalcdf(ZTS -999)
Representative Sample
Raw Data
p value right tail
Sampling
36. Is a number that describes a characteristic of a population
H0
Strata sampling
Parameter
S x
37. Members of the population select themselves by volunteering
Exploratory data analysis
Census
p
Self-selected sample
38. A collection of individuals about which we want to draw conclusions
Population
Statistics
x
39. Is denoted by 'N' - is the number of data values in the population
Interval
Population Size
s2
P(A)
40. Determine the location of the middle value of all the data values
Percentile
Center of Distribution
Numerical measurement describing some characteristic of a sample.
Frequency
41. A method of data collection in which the objects of study are observed in their natural settings and the variables are recorded
Observational study
Variable
Outliers
Sampling
42. Range - standard deviation and variance.
p value left tail
s2
The 3 measures of variation
Alpha (a)
43. Occur when one of them affects the probability of the other.
Sample Variance
S x
Dependent events
H0
44. Disjoint events cannot overlap. They are mutually exclusive if they cannot occur at the same time.
Disjoint event
Characteristic of a distribution
Observational study
Census
45. Sample standard deviation
Relative frequency histogram
s
Alpha (a)
Distribution
46. Lowercase sigma; population standard deviaition
s
Relative frequency histogram
Outlier
Pictograph
47. Has the same shape and horizontal scale as a histogram - but the vertical scale is marked with relative frequencies instead of actual frequencies
Sample Size
s2
Relative frequency histogram
Pictograph
48. (largest data value) - (smallest data value)
Census
range
Random Sample or Probability Sample
The 4 measures of center
49. Type of bar graph that shows frequency distributions
Frequency histogram
Bias
Census
Designed experiment
50. Is a number that describes a characteristic of a sample
Warning
: Invalid argument supplied for foreach() in
/var/www/html/basicversity.com/show_quiz.php
on line
183
Can you answer 50 questions in 15 minutes?
Let me suggest you:
Browse all subjects
Browse all tests
Most popular tests
Major Subjects
Tests & Exams
AP
CLEP
DSST
GRE
SAT
GMAT
Certifications
CISSP go to https://www.isc2.org/
PMP
ITIL
RHCE
MCTS
More...
IT Skills
Android Programming
Data Modeling
Objective C Programming
Basic Python Programming
Adobe Illustrator
More...
Business Skills
Advertising Techniques
Business Accounting Basics
Business Strategy
Human Resource Management
Marketing Basics
More...
Soft Skills
Body Language
People Skills
Public Speaking
Persuasion
Job Hunting And Resumes
More...
Vocabulary
GRE Vocab
SAT Vocab
TOEFL Essential Vocab
Basic English Words For All
Global Words You Should Know
Business English
More...
Languages
AP German Vocab
AP Latin Vocab
SAT Subject Test: French
Italian Survival
Norwegian Survival
More...
Engineering
Audio Engineering
Computer Science Engineering
Aerospace Engineering
Chemical Engineering
Structural Engineering
More...
Health Sciences
Basic Nursing Skills
Health Science Language Fundamentals
Veterinary Technology Medical Language
Cardiology
Clinical Surgery
More...
English
Grammar Fundamentals
Literary And Rhetorical Vocab
Elements Of Style Vocab
Introduction To English Major
Complete Advanced Sentences
Literature
Homonyms
More...
Math
Algebra Formulas
Basic Arithmetic: Measurements
Metric Conversions
Geometric Properties
Important Math Facts
Number Sense Vocab
Business Math
More...
Other Major Subjects
Science
Economics
History
Law
Performing-arts
Cooking
Logic & Reasoning
Trivia
Browse all subjects
Browse all tests
Most popular tests