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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. 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
Bias
Random Sample or Probability Sample
s2
P(A)
2. Sample proportion
Data Set
The 3 measures of variation
Numerical measurement describing some characteristic of a sample.
p
3. 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
Sample Size
Designed experiment
Ratio
S x
4. _______________ are numerical measurements that can assume any value between two numbers
Continuous Data
Exploratory data analysis
Frequency
s
5. Population proportion
H0
H1
p
Disjoint event
6. One extreme value can affect it dramatically.
The effect of extreme values on the measures of center
H1
Alpha (a)
Pictograph
7. Always use a equal symbol
Percentile
What symbol must always be found in H0
Statistics
The 3 measures of variation
8. Information about individuals in a population
Median
Census
Data
Distribution
9. Probability of event A
Sample
Numerical Variable
Stem-and-Leaf display
P(A)
10. Is denoted by 'N' - is the number of data values in the population
Parameter
Population
s
Population Size
11. Represents categories - and is nonnumerical in nature
Nominal
Designed experiment
Categorical Variable
Independent events
12. Standard scores and percentile
The 2 measures of relative standing
Statistic
Sample
Dependent events
13. Population is organized into groups (i.e - neighborhoods/departments) - and sampling unit is selected by a simple random sample
Cluster sampling
Skewed Distribution
p value right tail
Nominal
14. Uses numerical and or visual techniques to summarize or describe the data in a clear effective manner
Parameter
Descriptive Statistics
Strata sampling
p value right tail
15. A collection of individuals about which we want to draw conclusions
Population
Statistics
Stem and leaf plots
Simple Random Sample
16. 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
Simple Random Sample
Center of Distribution
Numerical Variable
Survey
17. An individual data value which lies far (above or below) from most or all of the other data values within a distribution
Percentile
Alpha (a)
Statistic (note there is no 's' at the end)
Outlier
18. Complement of p
q
Parameter
Census
Symmetric Distribution
19. Mean - mode - median and midrange.
The 4 measures of center
H0
Designed experiment
p
20. Double the answer from step 1 or step 2 (on whichever side your test statistics falls).
Simple random sample
p value two tailed test
Exploratory data analysis
Median
21. 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
Representative Sample
Population
Statistic
Symmetric Distribution
22. Sample standard deviation
Discrete numerical data
Survey
s
N
23. Disjoint events cannot overlap. They are mutually exclusive if they cannot occur at the same time.
S x
Disjoint event
H1
Parameter
24. Create a sample by using data from population members that are readily available
Distribution
Distribution
Convenience sampling
Descriptive Statistics
25. Sample mean
x
Discrete Data
Representative Sample
Observational study
26. Is the entire collection of all individuals or objects of interest
Population
Observational study
S
Convenience sampling
27. Type of bar graph that shows frequency distributions
p value two tailed test
Numerical Variable
Frequency histogram
Statistic
28. 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)
Distribution
Ordinal
Sample
29. Before they are arranged or analyzed - information or observations are called________.
Frequency histogram
Raw Data
q
s2
30. 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
Statistic
s2
Alpha (a)
31. A survey that includes every item or individual of the population
Census
Distribution
Symmetric Distribution
Stem-and-Leaf display
32. Type II error is measured
Systematic sampling
Population
Range
33. 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
Descriptive Statistics
Statistic
Parameter
Skewed Distribution
34. A number that is used to describe a characteristic of a sample - such as a sample average - is called a __________.
Parameter
Sampling
Exploratory data analysis
Statistic
35. Occur when one of them affects the probability of the other.
Alpha (a)
Survey
Dependent events
Sampling
36. Alternative hypothesis
Descriptive Statistics
Parameter
Interval
H1
37. Null hypothesis
p
H0
Interval
Percentile
38. Square the standard deviation and to find the population variance square of the population standard deviation
Ordinal
Sample Variance
Parameter
What symbol must always be found in H0
39. Is a number that describes a characteristic of a sample
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40. Can be used to get an initial graphical view of data
S
Outliers
Dot plots
Symmetric Distribution
41. Statistics
Survey
S x
Numerical measurement describing some characteristic of a sample.
Census
42. Using graphs and numerical summaries to describe variables in a data set and their relationship
Exploratory data analysis
Range
s2
p value two tailed test
43. Population size
Stem and leaf plots
Descriptive Statistics
N
44. The important aspects of the data are called?
Sample Variance
Random Sample or Probability Sample
Characteristic of a distribution
45. Is the process of using SAMPLE INFORMATION to draw inferences or conclusions about the POPULATION
range
x
Inferential Statistics
s
46. The variable value can be represented as isolated points on a number line
Discrete numerical data
Representative Sample
Skewed Distribution
Descriptive Statistics
47. 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
Outliers
The 2 measures of relative standing
Discrete numerical data
Statistics
48. A method of experimentation in which you can control as many variables as possible in order to isolate the effects of a response variable
range
Designed experiment
Strata sampling
Descriptive Statistics
49. The number of times each data value occurs
Population Size
Pictograph
Frequency
Stem-and-Leaf display
50. Collection of information from a sample
Median
Outliers
Survey
Nominal