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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. Occur when one does not affect the probability of the occurrence of the other.
Independent events
Statistic (note there is no 's' at the end)
Center of Distribution
s2
2. Is denoted by 'N' - is the number of data values in the population
Population Size
Variable
Characteristic of a distribution
p
3. _______________ 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
s
Random Sample or Probability Sample
x
Distribution
4. Is a sample containing similar characteristics of the population
Representative Sample
Simple Random Sample
Independent events
Sample Variance
5. Is denoted by 'n' - is the number of data values in the sample
Sample Size
Independent events
p value left tail
6. Null hypothesis
Statistic
H0
Sample Variance
Graph
7. A visual exploratory data analysis technique that shows the shape of a distribution - this kind of display uses the actual values of the variable to present the shape of the distribution of data values
Stem-and-Leaf display
Independent events
Cluster sampling
q
8. Population variance
s2
Simple Random Sample
Population
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
Relative frequency histogram
Random Sample or Probability Sample
Discrete numerical data
S x
10. To divide the population into 2 or more non-overlapping subsets called strata
Frequency histogram
Skewed Distribution
Strata sampling
Population
11. Before they are arranged or analyzed - information or observations are called________.
Population Size
Statistic
Categorical Variable
Raw Data
12. Population proportion
Designed experiment
Statistics
p
x
13. Mu; population mean
Dependent events
The 4 measures of center
Numerical measurement describing some characteristic of a sample.
14. A quantity calculated from data gathered from a sample- usually used to estimate a population parameter
Numerical measurement describing some characteristic of a sample.
Variable
Statistic
15. Range - standard deviation and variance.
Designed experiment
Raw Data
Percentile
The 3 measures of variation
16. Double the answer from step 1 or step 2 (on whichever side your test statistics falls).
p value two tailed test
Convenience sampling
Data Set
Nominal
17. Standard scores and percentile
What symbol must always be found in H0
Interval
Parameter
The 2 measures of relative standing
18. Mean - mode - median and midrange.
Raw Data
The 4 measures of center
Sample
n
19. 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.
Random Sample or Probability Sample
q
Pictograph
20. The pattern of variation of data. The distribution may be described as symmetrical - positively skewed - or negatively skewed
Survey
s2
Ordinal
Distribution
21. The variable value can be represented as isolated points on a number line
Numerical Variable
S
Discrete numerical data
Stem and leaf plots
22. Square the standard deviation and to find the population variance square of the population standard deviation
Interval
Sample Variance
Center of Distribution
Skewed Distribution
23. 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
Distribution
The 2 measures of relative standing
Simple random sample
Data Set
24. Members of the population select themselves by volunteering
Outliers
Self-selected sample
H0
Statistic
25. Type of information - usually a property of characteristic of a person or thing that is measured or observed
Variable
Ratio
Survey
Median
26. 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
Graph
Variable
Symmetric Distribution
Raw Data
27. Occur when one of them affects the probability of the other.
Census
n
Simple Random Sample
Dependent events
28. One extreme value can affect it dramatically.
Statistic
The effect of extreme values on the measures of center
q
N
29. A method of data collection in which the objects of study are observed in their natural settings and the variables are recorded
Disjoint event
n
Observational study
p value right tail
30. Can be used to get an initial graphical view of data
Population
Dot plots
Survey
31. Level of measurement- Is like the ordinal level - with the additional property that we can determine meaningful amounts of differences between data. However - there is no inherent (natural) zero starting point (where none of the quantity is present).
Numerical measurement describing some characteristic of a sample.
Interval
p
Stem-and-Leaf display
32. A method in which you randomly choose one number from 'l' to 'k' and continue to select the kth element
Frequency histogram
Symmetric Distribution
Numerical Variable
Systematic sampling
33. Complement of p
Independent events
Data
q
What symbol must always be found in H0
34. 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
Parameter
Characteristic of a distribution
Random Sample or Probability Sample
35. An efficient method of graphing information using actual amounts: clusters - gaps - outliers are clearly identified.
Convenience sampling
Sampling
Stem and leaf plots
36. Variable where the value is a number that results from a measurement process - also called numerical data
P(A)
Numerical Variable
Variable
Convenience sampling
37. 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
Outliers
s2
p
38. (largest data value) - (smallest data value)
Observational study
Population Size
Disjoint event
range
39. Sample mean
Inferential Statistics
The 2 measures of relative standing
x
S x
40. Is the process of using SAMPLE INFORMATION to draw inferences or conclusions about the POPULATION
Inferential Statistics
p
Categorical Variable
Characteristic of a distribution
41. Information about individuals in a population
Data
Population
Observational study
42. Using graphs and numerical summaries to describe variables in a data set and their relationship
Center of Distribution
Statistic (note there is no 's' at the end)
Exploratory data analysis
H1
43. Population is organized into groups (i.e - neighborhoods/departments) - and sampling unit is selected by a simple random sample
Random Sample or Probability Sample
Cluster sampling
Self-selected sample
Statistic
44. Sample proportion
Ordinal
Graph
Designed experiment
p
45. 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
Census
Ratio
Outlier
Descriptive Statistics
46. 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
Distribution
Outliers
Nominal
Sampling
47. Represents categories - and is nonnumerical in nature
Categorical Variable
What symbol must always be found in H0
Distribution
range
48. Always use a equal symbol
Simple Random Sample
Numerical measurement describing some characteristic of a sample.
What symbol must always be found in H0
Bias
49. _______________ are numerical values that can assume only a limited number of values
Discrete Data
Median
Survey
n
50. To calculate the percentile take the number of values less than x - divide by total number of values and times by 100.
s
Sample Variance
Discrete Data
Percentile