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. A method in which you randomly choose one number from 'l' to 'k' and continue to select the kth element
S
Symmetric Distribution
Systematic sampling
Frequency histogram
2. Is denoted by 'n' - is the number of data values in the sample
S x
What symbol must always be found in H0
range
Sample Size
3. 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
Outliers
Distribution
Random Sample or Probability Sample
Convenience sampling
4. Mu; population mean
Self-selected sample
P(A)
Stem and leaf plots
5. Alternative hypothesis
H1
The effect of extreme values on the measures of center
Representative Sample
Relative frequency histogram
6. Range - standard deviation and variance.
Characteristic of a distribution
Sampling
The 3 measures of variation
Census
7. Population size
Random Sample or Probability Sample
N
Data Set
p value right tail
8. Create a sample by using data from population members that are readily available
Symmetric Distribution
Convenience sampling
Outliers
N
9. Information about individuals in a population
Data
Raw Data
Survey
Independent events
10. _______________ are numerical values that can assume only a limited number of values
Discrete Data
Sampling
Population
11. To divide the population into 2 or more non-overlapping subsets called strata
S x
p
Simple random sample
Strata sampling
12. Is a collection of several data pertaining to one or more variables
Numerical measurement describing some characteristic of a sample.
Symmetric Distribution
Designed experiment
Data Set
13. Population proportion
Alpha (a)
p
x
Inferential Statistics
14. Lowercase sigma; population standard deviaition
q
Systematic sampling
p value right tail
s
15. 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
The effect of extreme values on the measures of center
Random Sample or Probability Sample
s
Strata sampling
16. Collection of information from the whole population
Ordinal
The 4 measures of center
H1
Census
17. 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
Range
Outlier
Ordinal
Sample
18. 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
Characteristic of a distribution
Designed experiment
Interval
Ratio
19. A subset of the population- it's important to choose a sample at random to avoid bias in the results
p value right tail
Outliers
Independent events
Sample
20. Has the same shape and horizontal scale as a histogram - but the vertical scale is marked with relative frequencies instead of actual frequencies
Ratio
Statistics
Observational study
Relative frequency histogram
21. Probability of event A
Frequency
Bias
Ratio
P(A)
22. Statistics
Frequency
Numerical measurement describing some characteristic of a sample.
Survey
Random Sample or Probability Sample
23. Always use a equal symbol
Ratio
What symbol must always be found in H0
Descriptive Statistics
Symmetric Distribution
24. Is a sample of data values selected from a population in such a way that every sample of size 'n' has an equal probability of being selected and every data value of the population has the same chance of being selected for the sample
S x
Data
range
Simple Random Sample
25. Sample size or number of trials
Cluster sampling
Outlier
n
S x
26. _______________ are numerical measurements that can assume any value between two numbers
p value left tail
Sample Variance
Continuous Data
Statistic (note there is no 's' at the end)
27. Members of the population select themselves by volunteering
Outlier
s
H1
Self-selected sample
28. Before they are arranged or analyzed - information or observations are called________.
Systematic sampling
N
Raw Data
Numerical measurement describing some characteristics of a population.
29. 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.
Pictograph
p value two tailed test
Population
Nominal
30. Square the standard deviation and to find the population variance square of the population standard deviation
q
N
Sample Variance
Stem and leaf plots
31. Is a sample that has the pertinent characteristics of the population in the same proportion - as they are included in that population
Statistic
Representative Sample
Disjoint event
Ordinal
32. Sample variance
P(A)
s2
Graph
s
33. Disjoint events cannot overlap. They are mutually exclusive if they cannot occur at the same time.
Survey
Disjoint event
Descriptive Statistics
Stem and leaf plots
34. Type of bar graph that shows frequency distributions
Percentile
Frequency histogram
Ratio
Statistics
35. The number of times each data value occurs
Strata sampling
Frequency
Parameter
S x
36. Determine the location of the middle value of all the data values
p value left tail
Variable
Designed experiment
Center of Distribution
37. Sample mean
Independent events
Data Set
x
Continuous Data
38. Using graphs and numerical summaries to describe variables in a data set and their relationship
Exploratory data analysis
N
Statistic
Observational study
39. Is the process of using SAMPLE INFORMATION to draw inferences or conclusions about the POPULATION
Inferential Statistics
Distribution
Independent events
40. Is the entire collection of all individuals or objects of interest
Nominal
Statistic (note there is no 's' at the end)
Population
Discrete Data
41. Complement of p
Sample
q
Alpha (a)
Statistic
42. Sum of the values
Distribution
S x
Parameter
Alpha (a)
43. Population variance
range
Representative Sample
s2
Inferential Statistics
44. 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
Frequency histogram
Sample Variance
Skewed Distribution
45. Double the answer from step 1 or step 2 (on whichever side your test statistics falls).
Strata sampling
Numerical Variable
Ratio
p value two tailed test
46. Null hypothesis
H0
p
Variable
Statistics
47. Mean - mode - median and midrange.
Sample
Skewed Distribution
The 4 measures of center
Cluster sampling
48. Is the process of selecting a portion - or sample - of the entire population
Statistics
Cluster sampling
Sampling
49. 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
Alpha (a)
Numerical measurement describing some characteristic of a sample.
Statistic
Frequency histogram
50. The important aspects of the data are called?
Characteristic of a distribution
Population
Numerical measurement describing some characteristic of a sample.
Frequency