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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. Type II error is measured
p
Frequency histogram
Self-selected sample
2. Standard scores and percentile
Alpha (a)
Range
p
The 2 measures of relative standing
3. For a left tailed test use normalcdf(-999 - ZTS)
Population Size
The 4 measures of center
Population
p value left tail
4. A method of data collection in which the objects of study are observed in their natural settings and the variables are recorded
Continuous Data
What symbol must always be found in H0
Observational study
Parameter
5. 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.
Numerical measurement describing some characteristics of a population.
Sample
Pictograph
Frequency
6. 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
Exploratory data analysis
s
Data Set
7. (largest data value) - (smallest data value)
range
Sample
Bias
Symmetric Distribution
8. Sample size or number of trials
Outlier
p value two tailed test
The 3 measures of variation
n
9. Occur when one does not affect the probability of the occurrence of the other.
Stem-and-Leaf display
Systematic sampling
Independent events
Inferential Statistics
10. Test use normalcdf(ZTS -999)
Independent events
Strata sampling
p value right tail
Characteristic of a distribution
11. Members of the population select themselves by volunteering
Self-selected sample
Cluster sampling
Systematic sampling
Stem and leaf plots
12. Is denoted by 'n' - is the number of data values in the sample
Sample Size
Numerical measurement describing some characteristics of a population.
Exploratory data analysis
Survey
13. Mu; population mean
Systematic sampling
P(A)
Survey
14. A method in which you randomly choose one number from 'l' to 'k' and continue to select the kth element
Systematic sampling
Range
Sample
Frequency histogram
15. To divide the population into 2 or more non-overlapping subsets called strata
Strata sampling
Percentile
Dot plots
Data
16. Is a sample containing similar characteristics of the population
Population
n
Representative Sample
Distribution
17. Sample standard deviation
s
Independent events
Population
Outlier
18. Sample mean
Sampling
Distribution
Percentile
x
19. Has the same shape and horizontal scale as a histogram - but the vertical scale is marked with relative frequencies instead of actual frequencies
Dependent events
Relative frequency histogram
Systematic sampling
S x
20. Sum of the values
S x
Numerical Variable
Ordinal
H0
21. _______________ are numerical measurements that can assume any value between two numbers
Continuous Data
Outliers
Pictograph
Population Size
22. The important aspects of the data are called?
p
Sample Size
Cluster sampling
Characteristic of a distribution
23. Before they are arranged or analyzed - information or observations are called________.
Sample Size
Raw Data
Stem-and-Leaf display
Inferential Statistics
24. The pattern of variation of data. The distribution may be described as symmetrical - positively skewed - or negatively skewed
Distribution
The 3 measures of variation
S x
Census
25. Using graphs and numerical summaries to describe variables in a data set and their relationship
Median
Alpha (a)
Symmetric Distribution
Exploratory data analysis
26. Is the process of using SAMPLE INFORMATION to draw inferences or conclusions about the POPULATION
Interval
Designed experiment
S
Inferential Statistics
27. Capital sigma; summation
Population
Variable
Sample
S
28. 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
p value right tail
Simple random sample
Median
p
29. Can be used to get an initial graphical view of data
The 2 measures of relative standing
Categorical Variable
Dot plots
H0
30. Disjoint events cannot overlap. They are mutually exclusive if they cannot occur at the same time.
Disjoint event
s
Numerical Variable
Stem and leaf plots
31. A collection of individuals about which we want to draw conclusions
Ordinal
Sampling
Survey
Population
32. Population is organized into groups (i.e - neighborhoods/departments) - and sampling unit is selected by a simple random sample
Range
Parameter
Representative Sample
Cluster sampling
33. A subset of the population- it's important to choose a sample at random to avoid bias in the results
Observational study
Dot plots
Sample
Raw Data
34. One extreme value can affect it dramatically.
Characteristic of a distribution
The effect of extreme values on the measures of center
Observational study
s
35. _______________ 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
H0
Inferential Statistics
Distribution
Data Set
36. 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
Statistics
Discrete Data
Sample Size
Percentile
37. Level of measurement- involves data that consist of names - labels and categories only. The data cannot be arranged in an ordering scheme (such as low to high). (Example) Nationalities of survey respondents
Self-selected sample
Population
Census
Nominal
38. Is a sample that has the pertinent characteristics of the population in the same proportion - as they are included in that population
Data
Systematic sampling
Relative frequency histogram
Representative Sample
39. Alternative hypothesis
Stem-and-Leaf display
Ratio
H1
s
40. Double the answer from step 1 or step 2 (on whichever side your test statistics falls).
Independent events
p value two tailed test
Observational study
41. Probability of event A
range
Characteristic of a distribution
P(A)
Center of Distribution
42. Lowercase sigma; population standard deviaition
The 2 measures of relative standing
Data
s
Exploratory data analysis
43. Range - standard deviation and variance.
q
The 3 measures of variation
p value right tail
Range
44. Sample variance
Self-selected sample
p
s2
Dependent events
45. Is a number that describes a characteristic of a population
Parameter
Observational study
range
s2
46. Type of bar graph that shows frequency distributions
Outliers
Frequency histogram
Population
Categorical Variable
47. Variable where the value is a number that results from a measurement process - also called numerical data
Simple random sample
Numerical Variable
Survey
Representative Sample
48. Is the process of selecting a portion - or sample - of the entire population
Simple random sample
Population Size
Sampling
Frequency
49. Determine the location of the middle value of all the data values
range
Center of Distribution
s
Discrete numerical data
50. Always use a equal symbol
Sample
What symbol must always be found in H0
Skewed Distribution
p