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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. Is the process of using SAMPLE INFORMATION to draw inferences or conclusions about the POPULATION
Sample
Inferential Statistics
Statistics
2. 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
p value two tailed test
Symmetric Distribution
Designed experiment
Ordinal
3. One extreme value can affect it dramatically.
s
Percentile
The effect of extreme values on the measures of center
p value left tail
4. 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).
Simple Random Sample
Designed experiment
Statistic (note there is no 's' at the end)
Interval
5. The number of times each data value occurs
Data Set
Frequency
Numerical Variable
The effect of extreme values on the measures of center
6. Sample size or number of trials
x
n
range
The 4 measures of center
7. Type of bar graph that shows frequency distributions
Frequency histogram
range
Skewed Distribution
Statistic
8. The variable value can be represented as isolated points on a number line
Percentile
Numerical Variable
Discrete numerical data
Survey
9. Collection of information from a sample
Dot plots
What symbol must always be found in H0
Cluster sampling
Survey
10. _______________ 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
Distribution
Sample
Frequency histogram
11. For a left tailed test use normalcdf(-999 - ZTS)
Disjoint event
p value left tail
Cluster sampling
s
12. Population variance
Discrete Data
Survey
s2
Dot plots
13. A number that is used to describe a characteristic of a sample - such as a sample average - is called a __________.
Percentile
Numerical Variable
Statistic
q
14. Information about individuals in a population
Data
Graph
Inferential Statistics
Independent events
15. A flaw in the sampling procedure that makes it more likely that the sample will NOT be representative of population
Numerical measurement describing some characteristics of a population.
P(A)
Representative Sample
Bias
16. Complement of p
Symmetric Distribution
Distribution
q
17. Before they are arranged or analyzed - information or observations are called________.
Raw Data
P(A)
S x
Data Set
18. 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
Cluster sampling
Raw Data
Statistics
What symbol must always be found in H0
19. Type of information - usually a property of characteristic of a person or thing that is measured or observed
Frequency histogram
Numerical measurement describing some characteristics of a population.
Variable
20. Represents categories - and is nonnumerical in nature
Sample Size
Parameter
Self-selected sample
Categorical Variable
21. Sample proportion
p
Systematic sampling
Range
Statistic
22. 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
range
Ratio
s2
Numerical Variable
23. (largest data value) - (smallest data value)
Distribution
p
range
The 4 measures of center
24. The pattern of variation of data. The distribution may be described as symmetrical - positively skewed - or negatively skewed
Distribution
Self-selected sample
range
Designed experiment
25. Occur when one does not affect the probability of the occurrence of the other.
Strata sampling
Parameter
Population Size
Independent events
26. Population size
N
Strata sampling
Observational study
s2
27. 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
s
Interval
Characteristic of a distribution
Nominal
28. Sum of the values
Disjoint event
Skewed Distribution
S x
Ordinal
29. 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
Sample
s
Simple Random Sample
30. Is denoted by 'n' - is the number of data values in the sample
Pictograph
Sample Size
Cluster sampling
Strata sampling
31. To divide the population into 2 or more non-overlapping subsets called strata
Frequency
Strata sampling
Simple random sample
H1
32. Population is organized into groups (i.e - neighborhoods/departments) - and sampling unit is selected by a simple random sample
Census
Convenience sampling
Survey
Cluster sampling
33. Variable where the value is a number that results from a measurement process - also called numerical data
Statistic
Parameter
Numerical Variable
34. _______________ are numerical measurements that can assume any value between two numbers
The 3 measures of variation
Continuous Data
Skewed Distribution
Parameter
35. A survey that includes every item or individual of the population
Census
n
Systematic sampling
The effect of extreme values on the measures of center
36. 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
Sample
Characteristic of a distribution
Stem and leaf plots
37. 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
Statistics
Simple random sample
Parameter
Dependent events
38. Uses numerical and or visual techniques to summarize or describe the data in a clear effective manner
Systematic sampling
Descriptive Statistics
n
The 3 measures of variation
39. Mu; population mean
Census
Representative Sample
Center of Distribution
40. A numerical quantity measuring some aspect of the population
S
Exploratory data analysis
Discrete Data
Parameter
41. Sample mean
x
Stem and leaf plots
Numerical measurement describing some characteristic of a sample.
n
42. Is a number that describes a characteristic of a population
Sample Variance
Parameter
Numerical measurement describing some characteristic of a sample.
n
43. A collection of individuals about which we want to draw conclusions
Census
Population
Random Sample or Probability Sample
Sample Variance
44. Always use a equal symbol
What symbol must always be found in H0
Population
Data
Disjoint event
45. Is a sample containing similar characteristics of the population
Representative Sample
Inferential Statistics
Continuous Data
Data
46. Can be used to get an initial graphical view of data
Dot plots
Population Size
P(A)
Self-selected sample
47. Probability of event A
Representative Sample
Data
P(A)
Skewed Distribution
48. A method in which you randomly choose one number from 'l' to 'k' and continue to select the kth element
Outlier
Systematic sampling
Descriptive Statistics
Interval
49. 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
p value left tail
Symmetric Distribution
Sampling
Stem and leaf plots
50. Standard scores and percentile
Data Set
Dependent events
Distribution
The 2 measures of relative standing