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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. 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
Parameter
Pictograph
Ratio
s
2. Sum of the values
S x
Independent events
Pictograph
Distribution
3. Probability of event A
Range
P(A)
Strata sampling
Frequency
4. Sample standard deviation
s
Census
p
x
5. Square the standard deviation and to find the population variance square of the population standard deviation
Alpha (a)
Disjoint event
Sample Variance
Ordinal
6. Is denoted by 'N' - is the number of data values in the population
Population Size
Simple Random Sample
What symbol must always be found in H0
Simple random sample
7. _______________ 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
Sample Variance
Sampling
Distribution
Strata sampling
8. Occur when one of them affects the probability of the other.
q
Observational study
Variable
Dependent events
9. Is a number that describes a characteristic of a population
Exploratory data analysis
Parameter
Descriptive Statistics
p
10. A method of data collection where the researcher selects a sample from the population and measures the variable of interest
The 3 measures of variation
P(A)
Survey
Stem-and-Leaf display
11. Type of information - usually a property of characteristic of a person or thing that is measured or observed
Bias
S x
Variable
Sample
12. A subset of the population- it's important to choose a sample at random to avoid bias in the results
Sample
s2
Random Sample or Probability Sample
Representative Sample
13. Can be used to get an initial graphical view of data
Numerical measurement describing some characteristics of a population.
Pictograph
Dot plots
The 3 measures of variation
14. A flaw in the sampling procedure that makes it more likely that the sample will NOT be representative of population
Bias
Statistic
Discrete Data
Sample
15. Mean - mode - median and midrange.
H0
The 4 measures of center
Dependent events
Numerical Variable
16. To find the range subtract the lowest value by the highest value.
Sample Size
Range
Dot plots
Alpha (a)
17. Sample proportion
Disjoint event
p
What symbol must always be found in H0
Systematic sampling
18. A method in which you randomly choose one number from 'l' to 'k' and continue to select the kth element
Numerical measurement describing some characteristics of a population.
Random Sample or Probability Sample
Numerical Variable
Systematic sampling
19. _______________ are numerical measurements that can assume any value between two numbers
q
range
Continuous Data
20. 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.
s2
n
Pictograph
Sample
21. 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
Census
Representative Sample
Outliers
Simple Random Sample
22. Parameter
Symmetric Distribution
q
Numerical measurement describing some characteristics of a population.
Characteristic of a distribution
23. Is denoted by 'n' - is the number of data values in the sample
What symbol must always be found in H0
Median
Symmetric Distribution
Sample Size
24. 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
s2
Symmetric Distribution
x
Strata sampling
25. The number of times each data value occurs
p value left tail
Dependent events
Frequency
Interval
26. A method of experimentation in which you can control as many variables as possible in order to isolate the effects of a response variable
Designed experiment
q
s2
The effect of extreme values on the measures of center
27. Standard scores and percentile
P(A)
p value two tailed test
The 2 measures of relative standing
Dot plots
28. 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
Data
Ordinal
range
Interval
29. Test use normalcdf(ZTS -999)
Simple Random Sample
p value right tail
Data
Frequency histogram
30. Null hypothesis
Statistic
p
H0
Independent events
31. 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
Sampling
Distribution
32. Capital sigma; summation
s2
N
Skewed Distribution
S
33. Is the process of selecting a portion - or sample - of the entire population
s
Sampling
p value right tail
Parameter
34. Collection of information from the whole population
x
Range
Cluster sampling
Census
35. Is the entire collection of all individuals or objects of interest
Bias
The 3 measures of variation
Census
Population
36. To divide the population into 2 or more non-overlapping subsets called strata
Survey
Data Set
Strata sampling
37. A descriptive tool used to visually describe the characteristics and relationships of collections of data quickly and attractively
Distribution
Stem and leaf plots
Graph
Observational study
38. Occur when one does not affect the probability of the occurrence of the other.
Sample
Independent events
Statistic
Dependent events
39. An individual data value which lies far (above or below) from most or all of the other data values within a distribution
The 2 measures of relative standing
Statistic
Survey
Outlier
40. Range - standard deviation and variance.
The 3 measures of variation
Categorical Variable
Pictograph
Sample Size
41. Variable where the value is a number that results from a measurement process - also called numerical data
Numerical Variable
Sample Size
Observational study
q
42. Information about individuals in a population
Data
Stem and leaf plots
H0
p value left tail
43. Sample size or number of trials
Skewed Distribution
n
Discrete numerical data
S
44. (largest data value) - (smallest data value)
Alpha (a)
P(A)
Representative Sample
range
45. Alternative hypothesis
Census
Observational study
Strata sampling
H1
46. 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
Independent events
Skewed Distribution
x
Outlier
47. Always use a equal symbol
What symbol must always be found in H0
p value two tailed test
Population Size
Distribution
48. An efficient method of graphing information using actual amounts: clusters - gaps - outliers are clearly identified.
Survey
Stem and leaf plots
S x
Relative frequency histogram
49. 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
Discrete numerical data
Variable
Sample
Simple Random Sample
50. One extreme value can affect it dramatically.
The effect of extreme values on the measures of center
H1
Simple Random Sample