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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. 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
Continuous Data
Pictograph
Random Sample or Probability Sample
Self-selected sample
2. 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
Census
Simple Random Sample
Frequency histogram
q
3. A descriptive tool used to visually describe the characteristics and relationships of collections of data quickly and attractively
Skewed Distribution
q
Graph
The 3 measures of variation
4. Mu; population mean
Systematic sampling
Frequency
What symbol must always be found in H0
5. Disjoint events cannot overlap. They are mutually exclusive if they cannot occur at the same time.
Alpha (a)
Designed experiment
Raw Data
Disjoint event
6. 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.
p
Frequency
Pictograph
s2
7. Type II error is measured
Skewed Distribution
The effect of extreme values on the measures of center
Numerical Variable
8. Population variance
Representative Sample
Discrete numerical data
s2
Descriptive Statistics
9. A method of experimentation in which you can control as many variables as possible in order to isolate the effects of a response variable
Dot plots
Stem and leaf plots
Designed experiment
10. _______________ are numerical values that can assume only a limited number of values
Interval
Sample
Observational study
Discrete Data
11. One extreme value can affect it dramatically.
The effect of extreme values on the measures of center
Ordinal
Population Size
Population
12. Statistics
S
Numerical measurement describing some characteristic of a sample.
Bias
Population Size
13. 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
Bias
Dot plots
Random Sample or Probability Sample
14. Is denoted by 'N' - is the number of data values in the population
Percentile
Raw Data
Population Size
s2
15. A method of data collection in which the objects of study are observed in their natural settings and the variables are recorded
Self-selected sample
Observational study
s
Statistic (note there is no 's' at the end)
16. Sample size or number of trials
n
Strata sampling
Statistic (note there is no 's' at the end)
Outliers
17. Is a number that describes a characteristic of a sample
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18. Type of bar graph that shows frequency distributions
Graph
Frequency histogram
Discrete numerical data
19. Before they are arranged or analyzed - information or observations are called________.
The 2 measures of relative standing
Stem and leaf plots
P(A)
Raw Data
20. An efficient method of graphing information using actual amounts: clusters - gaps - outliers are clearly identified.
Simple random sample
Stem and leaf plots
q
21. Sample variance
Discrete numerical data
s2
Data Set
range
22. Double the answer from step 1 or step 2 (on whichever side your test statistics falls).
Simple random sample
Outliers
p value two tailed test
Frequency histogram
23. Collection of information from the whole population
Frequency
Census
Independent events
Observational study
24. Parameter
Numerical measurement describing some characteristics of a population.
x
Parameter
Designed experiment
25. Can be used to get an initial graphical view of data
P(A)
s2
Stem-and-Leaf display
Dot plots
26. Is a number that describes a characteristic of a population
Outliers
Parameter
Continuous Data
Relative frequency histogram
27. Square the standard deviation and to find the population variance square of the population standard deviation
Distribution
Ordinal
Sample Variance
Sample Size
28. Alternative hypothesis
p value left tail
Raw Data
H1
Simple random sample
29. Standard scores and percentile
Alpha (a)
Strata sampling
The 2 measures of relative standing
Ratio
30. (largest data value) - (smallest data value)
Designed experiment
Continuous Data
range
S
31. 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
p
Convenience sampling
32. Has the same shape and horizontal scale as a histogram - but the vertical scale is marked with relative frequencies instead of actual frequencies
x
Relative frequency histogram
Statistic
Dependent events
33. Population proportion
Dependent events
p
Range
Self-selected sample
34. Capital sigma; summation
Bias
Skewed Distribution
S
p value left tail
35. A method in which you randomly choose one number from 'l' to 'k' and continue to select the kth element
Interval
Exploratory data analysis
Systematic sampling
Numerical measurement describing some characteristic of a sample.
36. Mean - mode - median and midrange.
The 4 measures of center
Simple Random Sample
H0
Sampling
37. For a left tailed test use normalcdf(-999 - ZTS)
Dependent events
P(A)
Sample Variance
p value left tail
38. A flaw in the sampling procedure that makes it more likely that the sample will NOT be representative of population
Bias
Frequency
Ordinal
N
39. Sample mean
Stem and leaf plots
Cluster sampling
x
Systematic sampling
40. Complement of p
H1
q
Nominal
Discrete Data
41. _______________ 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
Inferential Statistics
Graph
Distribution
Continuous Data
42. Variable where the value is a number that results from a measurement process - also called numerical data
Range
Characteristic of a distribution
Numerical Variable
43. 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
Symmetric Distribution
Statistic
Descriptive Statistics
44. A method of data collection where the researcher selects a sample from the population and measures the variable of interest
Population
Survey
The 4 measures of center
Data Set
45. Range - standard deviation and variance.
The 3 measures of variation
H1
Census
46. Represents categories - and is nonnumerical in nature
Center of Distribution
Categorical Variable
Continuous Data
Numerical measurement describing some characteristic of a sample.
47. Uses numerical and or visual techniques to summarize or describe the data in a clear effective manner
Alpha (a)
Descriptive Statistics
N
What symbol must always be found in H0
48. Create a sample by using data from population members that are readily available
Convenience sampling
The 3 measures of variation
Statistics
P(A)
49. 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).
p value two tailed test
Strata sampling
Interval
H1
50. An individual data value which lies far (above or below) from most or all of the other data values within a distribution
Outlier
Sampling
Ordinal
p value left tail