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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. Population is organized into groups (i.e - neighborhoods/departments) - and sampling unit is selected by a simple random sample
Numerical measurement describing some characteristics of a population.
Cluster sampling
Nominal
What symbol must always be found in H0
2. An individual data value which lies far (above or below) from most or all of the other data values within a distribution
S x
Outlier
q
Center of Distribution
3. Has the same shape and horizontal scale as a histogram - but the vertical scale is marked with relative frequencies instead of actual frequencies
Stem and leaf plots
Relative frequency histogram
Median
Distribution
4. Population proportion
p
Ordinal
Statistic
p value right tail
5. Is a sample that has the pertinent characteristics of the population in the same proportion - as they are included in that population
Self-selected sample
Representative Sample
Variable
6. The variable value can be represented as isolated points on a number line
Sample
Continuous Data
Discrete numerical data
Bias
7. Using graphs and numerical summaries to describe variables in a data set and their relationship
Frequency histogram
s2
Exploratory data analysis
range
8. Members of the population select themselves by volunteering
Observational study
Self-selected sample
Independent events
Cluster sampling
9. A numerical quantity measuring some aspect of the population
Self-selected sample
Population
Parameter
Designed experiment
10. 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
Ordinal
Interval
Graph
Characteristic of a distribution
11. Represents categories - and is nonnumerical in nature
Population Size
Sample
Categorical Variable
Self-selected sample
12. A method in which you randomly choose one number from 'l' to 'k' and continue to select the kth element
Independent events
Systematic sampling
Inferential Statistics
range
13. An efficient method of graphing information using actual amounts: clusters - gaps - outliers are clearly identified.
Pictograph
Sample Size
Stem and leaf plots
n
14. Probability of event A
Descriptive Statistics
Data
Numerical Variable
P(A)
15. Always use a equal symbol
Survey
Bias
What symbol must always be found in H0
s
16. 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.
Center of Distribution
H1
Simple Random Sample
Pictograph
17. Sample mean
Representative Sample
Strata sampling
Characteristic of a distribution
x
18. A method of data collection where the researcher selects a sample from the population and measures the variable of interest
Dot plots
The 4 measures of center
Variable
Survey
19. One extreme value can affect it dramatically.
H1
Simple Random Sample
Sample Variance
The effect of extreme values on the measures of center
20. Lowercase sigma; population standard deviaition
s
Characteristic of a distribution
Simple random sample
N
21. (largest data value) - (smallest data value)
N
The 4 measures of center
range
Simple random sample
22. Type of information - usually a property of characteristic of a person or thing that is measured or observed
Variable
s
Exploratory data analysis
23. A method of experimentation in which you can control as many variables as possible in order to isolate the effects of a response variable
Discrete numerical data
s2
s2
Designed experiment
24. Occur when one of them affects the probability of the other.
Census
p
Dependent events
Discrete Data
25. Is the process of using SAMPLE INFORMATION to draw inferences or conclusions about the POPULATION
Dependent events
Data
Inferential Statistics
s2
26. 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).
Population
Interval
Dependent events
Strata sampling
27. Mu; population mean
Pictograph
Statistic (note there is no 's' at the end)
Representative Sample
28. Information about individuals in a population
Frequency
Data
Continuous Data
The 3 measures of variation
29. Determine the location of the middle value of all the data values
N
Stem-and-Leaf display
Center of Distribution
S
30. Type II error is measured
s
Survey
Representative Sample
31. Range - standard deviation and variance.
Descriptive Statistics
The 3 measures of variation
n
Dependent events
32. To find the range subtract the lowest value by the highest value.
Simple random sample
Skewed Distribution
S x
Range
33. Is a number that describes a characteristic of a sample
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34. To calculate the percentile take the number of values less than x - divide by total number of values and times by 100.
Observational study
Percentile
Stem-and-Leaf display
Census
35. Is the process of selecting a portion - or sample - of the entire population
Dependent events
Distribution
Ratio
Sampling
36. Population variance
Population
Outliers
Numerical Variable
s2
37. A number that is used to describe a characteristic of a sample - such as a sample average - is called a __________.
Raw Data
Relative frequency histogram
Statistic
Independent events
38. A descriptive tool used to visually describe the characteristics and relationships of collections of data quickly and attractively
Graph
Simple random sample
Categorical Variable
Independent events
39. Null hypothesis
x
p value left tail
H0
Stem-and-Leaf display
40. Alternative hypothesis
Median
Ordinal
Continuous Data
H1
41. 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
Data Set
p value right tail
Nominal
Distribution
42. Is the portion of the population that is selected for study
Simple random sample
Alpha (a)
Sample
43. Collection of information from the whole population
Raw Data
Range
Census
Frequency
44. 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
Interval
Distribution
Simple random sample
45. To divide the population into 2 or more non-overlapping subsets called strata
Strata sampling
Statistic
Symmetric Distribution
The effect of extreme values on the measures of center
46. Sample proportion
p
Sampling
The 2 measures of relative standing
Survey
47. Parameter
Independent events
Numerical measurement describing some characteristics of a population.
Raw Data
Simple random sample
48. The number of times each data value occurs
The 2 measures of relative standing
Random Sample or Probability Sample
Simple Random Sample
Frequency
49. 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
Representative Sample
S x
Stem-and-Leaf display
Statistic
50. 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
Self-selected sample
Inferential Statistics
Simple random sample
Frequency histogram