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. Disjoint events cannot overlap. They are mutually exclusive if they cannot occur at the same time.
Disjoint event
p value left tail
p
H0
2. 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
Exploratory data analysis
Graph
Outliers
3. The level of significance and the probability of a type I error (rejecting a true null hypothesis). The area in the tail or tails of a distribution (z - t - or ?2); in hypothesis testing you don't always have a two tailed distribution as in confidenc
Statistic
Survey
Alpha (a)
p
4. Before they are arranged or analyzed - information or observations are called________.
Raw Data
p value two tailed test
p value left tail
Statistic (note there is no 's' at the end)
5. Capital sigma; summation
p value left tail
Population Size
S
Discrete Data
6. To calculate the percentile take the number of values less than x - divide by total number of values and times by 100.
Bias
Numerical measurement describing some characteristic of a sample.
Percentile
Statistic
7. One extreme value can affect it dramatically.
The effect of extreme values on the measures of center
Systematic sampling
Data Set
H0
8. Collection of information from the whole population
s
Skewed Distribution
Census
The effect of extreme values on the measures of center
9. 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
Stem-and-Leaf display
What symbol must always be found in H0
Data
Random Sample or Probability Sample
10. Sample mean
n
Simple Random Sample
x
Census
11. An individual data value which lies far (above or below) from most or all of the other data values within a distribution
Outlier
Statistics
Strata sampling
Distribution
12. Is denoted by 'N' - is the number of data values in the population
Continuous Data
Population Size
Sample
Ordinal
13. Represents categories - and is nonnumerical in nature
Convenience sampling
Representative Sample
Stem and leaf plots
Categorical Variable
14. A collection of individuals about which we want to draw conclusions
Sample Size
Population
The effect of extreme values on the measures of center
Statistic (note there is no 's' at the end)
15. Standard scores and percentile
Data Set
The 2 measures of relative standing
Data
16. Type of bar graph that shows frequency distributions
Strata sampling
s2
Exploratory data analysis
Frequency histogram
17. 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
Dependent events
S
H0
18. Statistics
Numerical measurement describing some characteristic of a sample.
Discrete numerical data
Parameter
Continuous Data
19. Sum of the values
S x
Survey
Sample Variance
Numerical measurement describing some characteristics of a population.
20. Population variance
Sample Size
S
s2
Center of Distribution
21. Sample variance
s2
Numerical Variable
Numerical measurement describing some characteristic of a sample.
The 3 measures of variation
22. A method of experimentation in which you can control as many variables as possible in order to isolate the effects of a response variable
Alpha (a)
H1
Stem and leaf plots
Designed experiment
23. Is a collection of several data pertaining to one or more variables
Statistic
Data Set
Disjoint event
Parameter
24. A method in which you randomly choose one number from 'l' to 'k' and continue to select the kth element
Systematic sampling
H1
The 2 measures of relative standing
25. To divide the population into 2 or more non-overlapping subsets called strata
Strata sampling
H1
p value left tail
Interval
26. Mean - mode - median and midrange.
Population
The 4 measures of center
s2
Statistics
27. Population proportion
Nominal
s2
p
The 2 measures of relative standing
28. Uses numerical and or visual techniques to summarize or describe the data in a clear effective manner
Descriptive Statistics
Percentile
Alpha (a)
The 3 measures of variation
29. For a left tailed test use normalcdf(-999 - ZTS)
S
Representative Sample
p value left tail
Variable
30. Population size
Numerical measurement describing some characteristic of a sample.
Outliers
H1
N
31. Probability of event A
Cluster sampling
P(A)
The 2 measures of relative standing
Sampling
32. Is the entire collection of all individuals or objects of interest
Population
Relative frequency histogram
Raw Data
Stem-and-Leaf display
33. A flaw in the sampling procedure that makes it more likely that the sample will NOT be representative of population
p
Census
Bias
q
34. Double the answer from step 1 or step 2 (on whichever side your test statistics falls).
Numerical measurement describing some characteristic of a sample.
Dot plots
p value two tailed test
Descriptive Statistics
35. 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
Parameter
Relative frequency histogram
Ordinal
Population
36. A number that is used to describe a characteristic of a sample - such as a sample average - is called a __________.
Symmetric Distribution
The effect of extreme values on the measures of center
Statistic
Percentile
37. An efficient method of graphing information using actual amounts: clusters - gaps - outliers are clearly identified.
Stem and leaf plots
Parameter
Statistic
Random Sample or Probability Sample
38. A survey that includes every item or individual of the population
Center of Distribution
Census
Strata sampling
39. Mu; population mean
Parameter
Population Size
Designed experiment
40. The number of times each data value occurs
The 3 measures of variation
Frequency
Sample
Parameter
41. Population is organized into groups (i.e - neighborhoods/departments) - and sampling unit is selected by a simple random sample
Stem and leaf plots
Cluster sampling
range
Self-selected sample
42. Create a sample by using data from population members that are readily available
Convenience sampling
Simple random sample
Cluster sampling
Symmetric Distribution
43. Is a sample containing similar characteristics of the population
Disjoint event
Discrete numerical data
Graph
Representative Sample
44. Type II error is measured
Inferential Statistics
Ratio
Sample Size
45. _______________ are numerical values that can assume only a limited number of values
Categorical Variable
Discrete Data
Discrete numerical data
46. Always use a equal symbol
What symbol must always be found in H0
S
Statistics
Center of Distribution
47. _______________ are numerical measurements that can assume any value between two numbers
Continuous Data
Descriptive Statistics
Self-selected sample
The 4 measures of center
48. Can be used to get an initial graphical view of data
Dot plots
Alpha (a)
Interval
Survey
49. Is the portion of the population that is selected for study
Statistics
s
range
Sample
50. The variable value can be represented as isolated points on a number line
Sample
Discrete numerical data
s2
Ratio