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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. Is a sample that has the pertinent characteristics of the population in the same proportion - as they are included in that population
p value two tailed test
The 3 measures of variation
Population
Representative Sample
2. Probability of event A
Graph
P(A)
Exploratory data analysis
The 3 measures of variation
3. Population variance
s2
Continuous Data
Statistic (note there is no 's' at the end)
Variable
4. Sample proportion
Sampling
Population Size
Self-selected sample
p
5. Members of the population select themselves by volunteering
Self-selected sample
Convenience sampling
Data
Numerical measurement describing some characteristics of a population.
6. The variable value can be represented as isolated points on a number line
Statistic (note there is no 's' at the end)
Inferential Statistics
Discrete numerical data
Sampling
7. Is a sample containing similar characteristics of the population
Parameter
Frequency
Representative Sample
p value left tail
8. Is a collection of several data pertaining to one or more variables
Representative Sample
Data Set
Parameter
9. Is the portion of the population that is selected for study
p value two tailed test
s2
Sample
10. Population proportion
p
The 2 measures of relative standing
Self-selected sample
Simple random sample
11. Create a sample by using data from population members that are readily available
Raw Data
Convenience sampling
Strata sampling
Outliers
12. Using graphs and numerical summaries to describe variables in a data set and their relationship
Census
Exploratory data analysis
Data Set
s
13. An individual data value which lies far (above or below) from most or all of the other data values within a distribution
Outlier
Sampling
Designed experiment
Numerical measurement describing some characteristics of a population.
14. Is a number that describes a characteristic of a sample
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15. Statistics
Population
Numerical measurement describing some characteristic of a sample.
Exploratory data analysis
Cluster sampling
16. A numerical quantity measuring some aspect of the population
Parameter
Representative Sample
Dependent events
Survey
17. A method of experimentation in which you can control as many variables as possible in order to isolate the effects of a response variable
Bias
Distribution
N
Designed experiment
18. Is denoted by 'N' - is the number of data values in the population
Statistic
Sample Size
Population Size
19. Double the answer from step 1 or step 2 (on whichever side your test statistics falls).
q
p value two tailed test
Statistic (note there is no 's' at the end)
Dot plots
20. Population is organized into groups (i.e - neighborhoods/departments) - and sampling unit is selected by a simple random sample
The 2 measures of relative standing
Ordinal
Parameter
Cluster sampling
21. A method in which you randomly choose one number from 'l' to 'k' and continue to select the kth element
Systematic sampling
Outlier
Center of Distribution
Numerical measurement describing some characteristic of a sample.
22. To calculate the percentile take the number of values less than x - divide by total number of values and times by 100.
Percentile
Symmetric Distribution
Statistic
Simple random sample
23. For a left tailed test use normalcdf(-999 - ZTS)
p value left tail
Interval
Statistic (note there is no 's' at the end)
24. The pattern of variation of data. The distribution may be described as symmetrical - positively skewed - or negatively skewed
Distribution
Census
Parameter
S
25. Is denoted by 'n' - is the number of data values in the sample
Sample Size
Designed experiment
n
Exploratory data analysis
26. Parameter
Representative Sample
Numerical measurement describing some characteristics of a population.
Population
Exploratory data analysis
27. The important aspects of the data are called?
Outlier
Characteristic of a distribution
Simple Random Sample
Median
28. Information about individuals in a population
Median
Ordinal
Data
Relative frequency histogram
29. 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
Survey
Nominal
p
30. Capital sigma; summation
Bias
Self-selected sample
Population
S
31. Complement of p
q
Representative Sample
The 3 measures of variation
H0
32. Mean - mode - median and midrange.
Census
Convenience sampling
The 4 measures of center
33. 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
Raw Data
Simple random sample
Numerical Variable
34. _______________ are numerical measurements that can assume any value between two numbers
Simple Random Sample
Statistic
Continuous Data
35. Always use a equal symbol
What symbol must always be found in H0
Parameter
H1
Raw Data
36. A survey that includes every item or individual of the population
Independent events
Relative frequency histogram
Numerical Variable
Census
37. Sample variance
Distribution
s2
Simple Random Sample
Statistic (note there is no 's' at the end)
38. 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
Interval
Outliers
Census
Stem and leaf plots
39. Mu; population mean
Designed experiment
s
range
40. (largest data value) - (smallest data value)
Graph
Nominal
range
Categorical Variable
41. Uses numerical and or visual techniques to summarize or describe the data in a clear effective manner
Descriptive Statistics
Ordinal
s2
The effect of extreme values on the measures of center
42. Represents categories - and is nonnumerical in nature
Distribution
Representative Sample
Categorical Variable
Parameter
43. Occur when one of them affects the probability of the other.
Dependent events
Discrete Data
Dot plots
Population
44. 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.
Range
Population
Pictograph
Bias
45. Square the standard deviation and to find the population variance square of the population standard deviation
Dependent events
Sample Variance
Data Set
The 3 measures of variation
46. 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
Nominal
Ratio
Exploratory data analysis
Designed experiment
47. Determine the location of the middle value of all the data values
Discrete Data
The 3 measures of variation
Center of Distribution
Stem and leaf plots
48. Population size
N
Inferential Statistics
Population Size
Continuous Data
49. Sample standard deviation
Parameter
p value left tail
s
Census
50. A descriptive tool used to visually describe the characteristics and relationships of collections of data quickly and attractively
The 3 measures of variation
p value left tail
Graph