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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. Mean - mode - median and midrange.
The 4 measures of center
Representative Sample
Statistics
Systematic sampling
2. A numerical quantity measuring some aspect of the population
Relative frequency histogram
Convenience sampling
Parameter
3. Is the portion of the population that is selected for study
Sample
Frequency histogram
p value left tail
N
4. Probability of event A
The 3 measures of variation
Frequency histogram
P(A)
Disjoint event
5. Is the entire collection of all individuals or objects of interest
Convenience sampling
p value two tailed test
H0
Population
6. Range - standard deviation and variance.
q
Numerical Variable
The 3 measures of variation
H0
7. Lowercase sigma; population standard deviaition
Raw Data
Characteristic of a distribution
Stem-and-Leaf display
s
8. _______________ 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
The effect of extreme values on the measures of center
Distribution
Observational study
p value two tailed test
9. Is a collection of several data pertaining to one or more variables
Discrete numerical data
Representative Sample
Data Set
Frequency histogram
10. Statistics
s2
Numerical measurement describing some characteristic of a sample.
Representative Sample
Survey
11. Is denoted by 'N' - is the number of data values in the population
Population Size
Convenience sampling
Simple Random Sample
Numerical measurement describing some characteristic of a sample.
12. A method in which you randomly choose one number from 'l' to 'k' and continue to select the kth element
Systematic sampling
Survey
Continuous Data
Observational study
13. Is a number that describes a characteristic of a sample
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14. Sum of the values
S x
Bias
s
s2
15. Type of information - usually a property of characteristic of a person or thing that is measured or observed
Variable
s2
Simple random sample
Outliers
16. 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
Continuous Data
Symmetric Distribution
The 3 measures of variation
Survey
17. Alternative hypothesis
Relative frequency histogram
Raw Data
Parameter
H1
18. Is a sample that has the pertinent characteristics of the population in the same proportion - as they are included in that population
Representative Sample
Statistic
What symbol must always be found in H0
Discrete Data
19. Uses numerical and or visual techniques to summarize or describe the data in a clear effective manner
Numerical measurement describing some characteristic of a sample.
Skewed Distribution
Descriptive Statistics
Stem and leaf plots
20. Occur when one does not affect the probability of the occurrence of the other.
Independent events
Sample
p value right tail
s2
21. Sample size or number of trials
Population
n
Exploratory data analysis
Outlier
22. Sample variance
x
p
s2
What symbol must always be found in H0
23. Is a number that describes a characteristic of a population
Census
H0
Discrete Data
Parameter
24. A subset of the population- it's important to choose a sample at random to avoid bias in the results
Population
Population Size
Sample
The 2 measures of relative standing
25. Sample mean
x
Random Sample or Probability Sample
s
Simple random sample
26. A number that is used to describe a characteristic of a sample - such as a sample average - is called a __________.
Statistic
Simple random sample
Disjoint event
The 3 measures of variation
27. Type of bar graph that shows frequency distributions
Skewed Distribution
Frequency histogram
Graph
The 2 measures of relative standing
28. Population is organized into groups (i.e - neighborhoods/departments) - and sampling unit is selected by a simple random sample
Frequency histogram
s
Cluster sampling
Alpha (a)
29. Is the process of using SAMPLE INFORMATION to draw inferences or conclusions about the POPULATION
Survey
Statistic (note there is no 's' at the end)
Data
Inferential Statistics
30. Disjoint events cannot overlap. They are mutually exclusive if they cannot occur at the same time.
Disjoint event
Inferential Statistics
Sample Size
31. Occur when one of them affects the probability of the other.
Census
Random Sample or Probability Sample
Dependent events
What symbol must always be found in H0
32. Variable where the value is a number that results from a measurement process - also called numerical data
Convenience sampling
Sample
Strata sampling
Numerical Variable
33. Standard scores and percentile
The 2 measures of relative standing
Continuous Data
H1
s2
34. 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
Pictograph
Observational study
Representative Sample
Ratio
35. A quantity calculated from data gathered from a sample- usually used to estimate a population parameter
Statistic
Categorical Variable
Simple Random Sample
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
Representative Sample
Frequency
37. 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
p value left tail
x
Random Sample or Probability Sample
Numerical measurement describing some characteristic of a sample.
38. 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
Outliers
Ordinal
Survey
q
39. To find the range subtract the lowest value by the highest value.
S
The 2 measures of relative standing
Range
Stem and leaf plots
40. A method of data collection where the researcher selects a sample from the population and measures the variable of interest
Random Sample or Probability Sample
Sampling
Survey
41. Before they are arranged or analyzed - information or observations are called________.
Convenience sampling
Raw Data
The 2 measures of relative standing
Strata sampling
42. Is denoted by 'n' - is the number of data values in the sample
Frequency histogram
Sample Size
Outlier
Representative Sample
43. Sample proportion
s2
What symbol must always be found in H0
p
The effect of extreme values on the measures of center
44. Using graphs and numerical summaries to describe variables in a data set and their relationship
Exploratory data analysis
q
Median
Ordinal
45. A method of data collection in which the objects of study are observed in their natural settings and the variables are recorded
Observational study
S
Sample
Center of Distribution
46. A collection of individuals about which we want to draw conclusions
Ratio
Population
Numerical measurement describing some characteristics of a population.
Interval
47. 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
Bias
Skewed Distribution
Survey
s2
48. Null hypothesis
q
Discrete numerical data
H1
H0
49. 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
Simple random sample
Distribution
Statistic
50. Mu; population mean
Sample Size
q
Stem and leaf plots