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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. Mean - mode - median and midrange.
Random Sample or Probability Sample
The 4 measures of center
Stem and leaf plots
The 2 measures of relative standing
2. 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
Ratio
p value two tailed test
Numerical measurement describing some characteristics of a population.
p
3. 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
p value left tail
Sample
Frequency histogram
4. A method of experimentation in which you can control as many variables as possible in order to isolate the effects of a response variable
N
Designed experiment
S
Pictograph
5. Standard scores and percentile
Statistic
Descriptive Statistics
The 2 measures of relative standing
Ordinal
6. 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
Disjoint event
Descriptive Statistics
s
7. Occur when one does not affect the probability of the occurrence of the other.
Independent events
Discrete Data
What symbol must always be found in H0
Sample Size
8. Population size
p
Sample Variance
N
S
9. Uses numerical and or visual techniques to summarize or describe the data in a clear effective manner
Numerical measurement describing some characteristics of a population.
Cluster sampling
Frequency
Descriptive Statistics
10. The number of times each data value occurs
Systematic sampling
Frequency
Skewed Distribution
Bias
11. Is a sample that has the pertinent characteristics of the population in the same proportion - as they are included in that population
Representative Sample
Numerical measurement describing some characteristic of a sample.
Sample
Sampling
12. To divide the population into 2 or more non-overlapping subsets called strata
Pictograph
Symmetric Distribution
Nominal
Strata sampling
13. Using graphs and numerical summaries to describe variables in a data set and their relationship
The 4 measures of center
S
Pictograph
Exploratory data analysis
14. Sample standard deviation
s
The effect of extreme values on the measures of center
Interval
Population
15. Members of the population select themselves by volunteering
Self-selected sample
Characteristic of a distribution
x
16. Is a number that describes a characteristic of a population
Frequency
Frequency histogram
s2
Parameter
17. Occur when one of them affects the probability of the other.
s
Convenience sampling
Dependent events
Raw Data
18. Statistics
Data
Numerical measurement describing some characteristic of a sample.
H1
p value two tailed test
19. Collection of information from the whole population
Census
Graph
Population
The 2 measures of relative standing
20. Capital sigma; summation
Data Set
S
Stem-and-Leaf display
21. A numerical quantity measuring some aspect of the population
Parameter
Designed experiment
Random Sample or Probability Sample
Dependent events
22. Determine the location of the middle value of all the data values
Designed experiment
Population
Center of Distribution
Nominal
23. Double the answer from step 1 or step 2 (on whichever side your test statistics falls).
Simple Random Sample
p value two tailed test
Distribution
Range
24. Sample mean
Stem and leaf plots
What symbol must always be found in H0
H0
x
25. Is the entire collection of all individuals or objects of interest
Discrete Data
Population
Simple random sample
Survey
26. 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
Ordinal
Center of Distribution
Statistic (note there is no 's' at the end)
Random Sample or Probability Sample
27. The pattern of variation of data. The distribution may be described as symmetrical - positively skewed - or negatively skewed
Alpha (a)
s2
Survey
Distribution
28. _______________ are numerical values that can assume only a limited number of values
Alpha (a)
Discrete Data
Survey
s2
29. For a left tailed test use normalcdf(-999 - ZTS)
n
p value left tail
s
Representative Sample
30. Parameter
s2
Numerical measurement describing some characteristics of a population.
Dot plots
N
31. A method in which you randomly choose one number from 'l' to 'k' and continue to select the kth element
Systematic sampling
Raw Data
Categorical Variable
Frequency
32. Lowercase sigma; population standard deviaition
Dependent events
s
Raw Data
33. An individual data value which lies far (above or below) from most or all of the other data values within a distribution
s
Outlier
Ordinal
Sample
34. Sample variance
Exploratory data analysis
s2
Representative Sample
Dependent events
35. 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
H1
Skewed Distribution
p value two tailed test
36. 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).
Statistic
x
Distribution
Interval
37. Population is organized into groups (i.e - neighborhoods/departments) - and sampling unit is selected by a simple random sample
Observational study
Self-selected sample
Representative Sample
Cluster sampling
38. To find the range subtract the lowest value by the highest value.
p
Frequency
Range
Descriptive Statistics
39. Type II error is measured
Representative Sample
Disjoint event
p
40. Is the portion of the population that is selected for study
p
Sample
Representative Sample
Ordinal
41. Always use a equal symbol
Stem and leaf plots
p
What symbol must always be found in H0
The 3 measures of variation
42. A method of data collection where the researcher selects a sample from the population and measures the variable of interest
Self-selected sample
Outlier
Survey
Median
43. 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.
Numerical measurement describing some characteristic of a sample.
Variable
Exploratory data analysis
Pictograph
44. Variable where the value is a number that results from a measurement process - also called numerical data
Relative frequency histogram
Numerical Variable
Designed experiment
Simple Random Sample
45. A method of data collection in which the objects of study are observed in their natural settings and the variables are recorded
Observational study
Characteristic of a distribution
Sampling
Nominal
46. To calculate the percentile take the number of values less than x - divide by total number of values and times by 100.
n
Stem and leaf plots
Dot plots
Percentile
47. Is denoted by 'N' - is the number of data values in the population
Self-selected sample
What symbol must always be found in H0
Population Size
x
48. A quantity calculated from data gathered from a sample- usually used to estimate a population parameter
Continuous Data
Dot plots
Statistic
H0
49. 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
P(A)
Outliers
Graph
p
50. _______________ are numerical measurements that can assume any value between two numbers
p value right tail
Continuous Data
Sample
Alpha (a)