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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. For a left tailed test use normalcdf(-999 - ZTS)
p value left tail
Sample Variance
Designed experiment
Sampling
2. Disjoint events cannot overlap. They are mutually exclusive if they cannot occur at the same time.
Statistic (note there is no 's' at the end)
p value right tail
Disjoint event
Graph
3. One extreme value can affect it dramatically.
The effect of extreme values on the measures of center
Sample
Sample Variance
Population
4. To divide the population into 2 or more non-overlapping subsets called strata
Sample Variance
Pictograph
Census
Strata sampling
5. Information about individuals in a population
Symmetric Distribution
Numerical measurement describing some characteristics of a population.
Numerical measurement describing some characteristic of a sample.
Data
6. A numerical quantity measuring some aspect of the population
Parameter
Self-selected sample
Distribution
The effect of extreme values on the measures of center
7. Collection of information from the whole population
Dependent events
Census
Categorical Variable
Sampling
8. Uses numerical and or visual techniques to summarize or describe the data in a clear effective manner
p value right tail
Systematic sampling
Descriptive Statistics
range
9. Mu; population mean
Median
Sample Variance
H1
10. Is denoted by 'n' - is the number of data values in the sample
Data
p
Sample Size
Census
11. A quantity calculated from data gathered from a sample- usually used to estimate a population parameter
Ratio
Statistic
Cluster sampling
Population
12. 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
x
Observational study
Sample
13. Type II error is measured
Survey
Parameter
Continuous Data
14. 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
The 4 measures of center
Ratio
s
Parameter
15. A flaw in the sampling procedure that makes it more likely that the sample will NOT be representative of population
Dependent events
N
Sample
Bias
16. 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
Discrete Data
Simple random sample
Population
Discrete numerical data
17. Double the answer from step 1 or step 2 (on whichever side your test statistics falls).
s
p value two tailed test
Range
q
18. The variable value can be represented as isolated points on a number line
The effect of extreme values on the measures of center
Discrete numerical data
Discrete Data
Data
19. Is the process of using SAMPLE INFORMATION to draw inferences or conclusions about the POPULATION
Sampling
Strata sampling
Inferential Statistics
Stem-and-Leaf display
20. A number that is used to describe a characteristic of a sample - such as a sample average - is called a __________.
Disjoint event
Ordinal
Statistic
Exploratory data analysis
21. _______________ are numerical measurements that can assume any value between two numbers
Statistic
Continuous Data
Ordinal
Simple random sample
22. Sample proportion
p
Categorical Variable
Interval
Random Sample or Probability Sample
23. Is a number that describes a characteristic of a sample
24. Capital sigma; summation
S
Stem-and-Leaf display
Survey
Simple Random Sample
25. A method of data collection in which the objects of study are observed in their natural settings and the variables are recorded
Variable
Ordinal
Observational study
p value left tail
26. Is the process of selecting a portion - or sample - of the entire population
The 3 measures of variation
The effect of extreme values on the measures of center
Sampling
Simple Random Sample
27. (largest data value) - (smallest data value)
Dependent events
range
Interval
Representative Sample
28. To find the range subtract the lowest value by the highest value.
The 3 measures of variation
Observational study
Range
Random Sample or Probability Sample
29. Sum of the values
Relative frequency histogram
Continuous Data
Descriptive Statistics
S x
30. Middle value of a set of data values after they've been arranged in numerical order - 1. First arrange data values in numerical order 2. For odd # of data values - the median is the middle data value 3. For even # of data values - the median is the m
Median
Population
s
N
31. A subset of the population- it's important to choose a sample at random to avoid bias in the results
Independent events
Numerical Variable
Sample
32. Type of bar graph that shows frequency distributions
Frequency histogram
Sample Size
p value two tailed test
Population
33. A collection of individuals about which we want to draw conclusions
q
Median
Population
Discrete Data
34. An efficient method of graphing information using actual amounts: clusters - gaps - outliers are clearly identified.
Statistic
Raw Data
range
Stem and leaf plots
35. Statistics
Statistic (note there is no 's' at the end)
Population
Numerical measurement describing some characteristic of a sample.
Discrete Data
36. The pattern of variation of data. The distribution may be described as symmetrical - positively skewed - or negatively skewed
Distribution
Percentile
Independent events
Disjoint event
37. Collection of information from a sample
range
p value two tailed test
The 2 measures of relative standing
Survey
38. Always use a equal symbol
Observational study
P(A)
What symbol must always be found in H0
Pictograph
39. Is the portion of the population that is selected for study
Sample Variance
Sample
s2
Distribution
40. A descriptive tool used to visually describe the characteristics and relationships of collections of data quickly and attractively
s
Graph
Stem-and-Leaf display
Sample Size
41. Is a sample containing similar characteristics of the population
Frequency
Representative Sample
Census
Raw Data
42. Can be used to get an initial graphical view of data
S
Nominal
Simple Random Sample
Dot plots
43. 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
Distribution
Simple Random Sample
Observational study
Graph
44. Represents categories - and is nonnumerical in nature
Sample Size
Categorical Variable
Descriptive Statistics
Alpha (a)
45. Create a sample by using data from population members that are readily available
Sample
Convenience sampling
Dependent events
Sampling
46. Standard scores and percentile
Independent events
s2
Self-selected sample
The 2 measures of relative standing
47. Population is organized into groups (i.e - neighborhoods/departments) - and sampling unit is selected by a simple random sample
Cluster sampling
Convenience sampling
Numerical Variable
Distribution
48. 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
Outliers
range
Raw Data
The 2 measures of relative standing
49. Is a sample that has the pertinent characteristics of the population in the same proportion - as they are included in that population
Dependent events
Sample Variance
Representative Sample
Ratio
50. A method of experimentation in which you can control as many variables as possible in order to isolate the effects of a response variable
Data
Center of Distribution
Designed experiment
Statistics