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. The pattern of variation of data. The distribution may be described as symmetrical - positively skewed - or negatively skewed
Variable
Observational study
Distribution
Raw Data
2. Parameter
P(A)
p value two tailed test
Parameter
Numerical measurement describing some characteristics of a population.
3. Variable where the value is a number that results from a measurement process - also called numerical data
Stem-and-Leaf display
Statistic (note there is no 's' at the end)
Parameter
Numerical Variable
4. Type of bar graph that shows frequency distributions
S x
H0
Frequency histogram
Outlier
5. Sample mean
Continuous Data
x
Center of Distribution
Nominal
6. Population is organized into groups (i.e - neighborhoods/departments) - and sampling unit is selected by a simple random sample
Random Sample or Probability Sample
Frequency
Cluster sampling
7. 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
Graph
Data
8. Sample proportion
Simple random sample
Sampling
p
9. Type of information - usually a property of characteristic of a person or thing that is measured or observed
Outlier
Variable
Graph
The 4 measures of center
10. A collection of individuals about which we want to draw conclusions
Bias
Dependent events
Skewed Distribution
Population
11. Sum of the values
S x
Simple Random Sample
Skewed Distribution
Alpha (a)
12. Determine the location of the middle value of all the data values
S
Center of Distribution
Systematic sampling
Data Set
13. Type II error is measured
The 2 measures of relative standing
Designed experiment
Statistic
14. Sample variance
Sample Size
Symmetric Distribution
The effect of extreme values on the measures of center
s2
15. To divide the population into 2 or more non-overlapping subsets called strata
Nominal
Strata sampling
Statistics
Disjoint event
16. _______________ are numerical measurements that can assume any value between two numbers
Survey
Continuous Data
The effect of extreme values on the measures of center
Skewed Distribution
17. To find the range subtract the lowest value by the highest value.
Numerical measurement describing some characteristic of a sample.
Numerical Variable
S x
Range
18. Null hypothesis
Symmetric Distribution
The 2 measures of relative standing
Random Sample or Probability Sample
H0
19. Standard scores and percentile
Disjoint event
H1
The 2 measures of relative standing
s
20. Is a number that describes a characteristic of a population
Representative Sample
Parameter
Representative Sample
Numerical measurement describing some characteristics of a population.
21. The variable value can be represented as isolated points on a number line
Outliers
Interval
Discrete numerical data
S x
22. Population proportion
p
p value right tail
s
p value two tailed test
23. Square the standard deviation and to find the population variance square of the population standard deviation
Descriptive Statistics
p
Sample Variance
24. 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
Random Sample or Probability Sample
Outlier
Center of Distribution
25. Population variance
Continuous Data
Data Set
s2
Population
26. A number that is used to describe a characteristic of a sample - such as a sample average - is called a __________.
Center of Distribution
Statistic
The 2 measures of relative standing
Discrete numerical data
27. Disjoint events cannot overlap. They are mutually exclusive if they cannot occur at the same time.
P(A)
H0
The 4 measures of center
Disjoint event
28. Is the portion of the population that is selected for study
p value two tailed test
Parameter
Sample
Frequency
29. 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
p value two tailed test
Data
p
30. Sample standard deviation
Outlier
Population
Interval
s
31. Is the process of using SAMPLE INFORMATION to draw inferences or conclusions about the POPULATION
Alpha (a)
Numerical measurement describing some characteristics of a population.
Disjoint event
Inferential Statistics
32. Can be used to get an initial graphical view of data
Skewed Distribution
Sample Size
Numerical measurement describing some characteristic of a sample.
Dot plots
33. Occur when one of them affects the probability of the other.
Ordinal
Relative frequency histogram
Dependent events
Systematic sampling
34. A method of data collection in which the objects of study are observed in their natural settings and the variables are recorded
Alpha (a)
What symbol must always be found in H0
Observational study
Numerical Variable
35. Is the entire collection of all individuals or objects of interest
Dot plots
Population
The 4 measures of center
Frequency
36. A method of data collection where the researcher selects a sample from the population and measures the variable of interest
Stem and leaf plots
Statistic
Survey
Representative Sample
37. 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
38. One extreme value can affect it dramatically.
Strata sampling
The effect of extreme values on the measures of center
Variable
Frequency histogram
39. Population size
N
Relative frequency histogram
range
Stem and leaf plots
40. Has the same shape and horizontal scale as a histogram - but the vertical scale is marked with relative frequencies instead of actual frequencies
Bias
s2
Relative frequency histogram
x
41. Members of the population select themselves by volunteering
Representative Sample
x
s
Self-selected sample
42. A survey that includes every item or individual of the population
Discrete numerical data
Census
s2
x
43. Is denoted by 'N' - is the number of data values in the population
Population Size
The 3 measures of variation
Statistic
Descriptive Statistics
44. 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
Sample Size
Distribution
Statistics
Symmetric Distribution
45. A quantity calculated from data gathered from a sample- usually used to estimate a population parameter
s2
Statistic
Sample Size
46. A method in which you randomly choose one number from 'l' to 'k' and continue to select the kth element
Systematic sampling
Census
Pictograph
Characteristic of a distribution
47. 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
Sample Size
Stem-and-Leaf display
p
48. 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
Inferential Statistics
Discrete Data
Ratio
Characteristic of a distribution
49. An individual data value which lies far (above or below) from most or all of the other data values within a distribution
Graph
Outlier
Frequency histogram
Discrete numerical data
50. Statistics
Numerical measurement describing some characteristic of a sample.
Disjoint event
Dependent events
Sorry!:) No result found.
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