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. To divide the population into 2 or more non-overlapping subsets called strata
s
Raw Data
Strata sampling
Simple random sample
2. An individual data value which lies far (above or below) from most or all of the other data values within a distribution
Outlier
Nominal
H0
S x
3. Statistics
S
Raw Data
Numerical measurement describing some characteristic of a sample.
Discrete numerical data
4. Is the process of selecting a portion - or sample - of the entire population
Sampling
Outliers
Skewed Distribution
Center of Distribution
5. Occur when one does not affect the probability of the occurrence of the other.
H0
Continuous Data
Independent events
Numerical measurement describing some characteristics of a population.
6. Test use normalcdf(ZTS -999)
n
Survey
p value two tailed test
p value right tail
7. 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
n
Statistic
Simple random sample
Bias
8. The pattern of variation of data. The distribution may be described as symmetrical - positively skewed - or negatively skewed
Distribution
S
p value right tail
Systematic sampling
9. Information about individuals in a population
Statistic (note there is no 's' at the end)
Exploratory data analysis
Data
Independent events
10. A descriptive tool used to visually describe the characteristics and relationships of collections of data quickly and attractively
Pictograph
Data
Graph
The 4 measures of center
11. For a left tailed test use normalcdf(-999 - ZTS)
p value left tail
Representative Sample
Alpha (a)
Stem and leaf plots
12. Create a sample by using data from population members that are readily available
Convenience sampling
Center of Distribution
Outlier
Numerical measurement describing some characteristic of a sample.
13. The variable value can be represented as isolated points on a number line
q
p
The 2 measures of relative standing
Discrete numerical data
14. To calculate the percentile take the number of values less than x - divide by total number of values and times by 100.
x
Skewed Distribution
Percentile
Survey
15. Sample size or number of trials
The effect of extreme values on the measures of center
n
Survey
Graph
16. A method of data collection in which the objects of study are observed in their natural settings and the variables are recorded
Range
The effect of extreme values on the measures of center
Statistics
Observational study
17. 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.
Random Sample or Probability Sample
Inferential Statistics
Skewed Distribution
Pictograph
18. Is a number that describes a characteristic of a population
p value left tail
Self-selected sample
p value right tail
Parameter
19. Double the answer from step 1 or step 2 (on whichever side your test statistics falls).
Sampling
Stem and leaf plots
p value two tailed test
The 4 measures of center
20. A numerical quantity measuring some aspect of the population
Range
Parameter
range
Data Set
21. _______________ 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
Data Set
Center of Distribution
Sampling
Distribution
22. Capital sigma; summation
S
Survey
Stem and leaf plots
Characteristic of a distribution
23. Range - standard deviation and variance.
The 3 measures of variation
Outlier
Skewed Distribution
Stem-and-Leaf display
24. 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
H1
Ordinal
S
Sample
25. Occur when one of them affects the probability of the other.
Inferential Statistics
H1
Dependent events
Center of Distribution
26. Determine the location of the middle value of all the data values
N
Center of Distribution
Discrete numerical data
Sample
27. Alternative hypothesis
Designed experiment
Numerical measurement describing some characteristic of a sample.
H1
Outlier
28. Always use a equal symbol
Inferential Statistics
What symbol must always be found in H0
Designed experiment
H0
29. Population proportion
s
p
Categorical Variable
Percentile
30. A method of data collection where the researcher selects a sample from the population and measures the variable of interest
Population
Data
Alpha (a)
Survey
31. 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
32. Sum of the values
Statistic (note there is no 's' at the end)
S x
Numerical measurement describing some characteristic of a sample.
Parameter
33. Type of bar graph that shows frequency distributions
Frequency histogram
Percentile
Representative Sample
Sampling
34. 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
The 3 measures of variation
Sample
Graph
35. Sample variance
Descriptive Statistics
Skewed Distribution
s2
s
36. Population is organized into groups (i.e - neighborhoods/departments) - and sampling unit is selected by a simple random sample
Cluster sampling
H0
Population
Categorical Variable
37. 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
The 4 measures of center
range
Median
Random Sample or Probability Sample
38. (largest data value) - (smallest data value)
range
Numerical measurement describing some characteristic of a sample.
Center of Distribution
Raw Data
39. Sample proportion
Population
Survey
Nominal
p
40. Population variance
Dot plots
s2
Statistics
Descriptive Statistics
41. Is denoted by 'N' - is the number of data values in the population
Population Size
Relative frequency histogram
Dependent events
s2
42. Is the entire collection of all individuals or objects of interest
Data Set
Population
n
Census
43. Sample mean
Graph
Census
x
44. 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
Frequency histogram
Outliers
Discrete Data
p
45. 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
P(A)
Parameter
Sampling
46. Complement of p
Graph
q
Frequency
47. A method in which you randomly choose one number from 'l' to 'k' and continue to select the kth element
Numerical measurement describing some characteristics of a population.
x
Systematic sampling
Categorical Variable
48. Variable where the value is a number that results from a measurement process - also called numerical data
p value right tail
Median
Numerical Variable
Data
49. One extreme value can affect it dramatically.
The effect of extreme values on the measures of center
H0
Data Set
What symbol must always be found in H0
50. 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
Strata sampling
Range
Statistic
Statistics
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