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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.
Nominal
The 4 measures of center
Population
n
2. Population size
N
Data
Population Size
Interval
3. To divide the population into 2 or more non-overlapping subsets called strata
Relative frequency histogram
Continuous Data
Strata sampling
Center of Distribution
4. 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
Random Sample or Probability Sample
p value right tail
Numerical Variable
Sample Variance
5. Type of information - usually a property of characteristic of a person or thing that is measured or observed
Skewed Distribution
Variable
S x
Nominal
6. The variable value can be represented as isolated points on a number line
Range
P(A)
S
Discrete numerical data
7. Statistics
p
Population Size
Numerical measurement describing some characteristic of a sample.
Continuous Data
8. Using graphs and numerical summaries to describe variables in a data set and their relationship
Exploratory data analysis
Survey
The 4 measures of center
H0
9. Is the process of using SAMPLE INFORMATION to draw inferences or conclusions about the POPULATION
Survey
Inferential Statistics
Categorical Variable
s
10. Is the entire collection of all individuals or objects of interest
S
Median
Population
p value left tail
11. The level of significance and the probability of a type I error (rejecting a true null hypothesis). The area in the tail or tails of a distribution (z - t - or ?2); in hypothesis testing you don't always have a two tailed distribution as in confidenc
Numerical measurement describing some characteristics of a population.
Alpha (a)
q
S x
12. Create a sample by using data from population members that are readily available
Statistic
What symbol must always be found in H0
Convenience sampling
Census
13. Members of the population select themselves by volunteering
s
Self-selected sample
Descriptive Statistics
Population
14. To calculate the percentile take the number of values less than x - divide by total number of values and times by 100.
Percentile
Data Set
Nominal
Distribution
15. A numerical quantity measuring some aspect of the population
Parameter
Nominal
N
Survey
16. _______________ 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
Distribution
p value two tailed test
Symmetric Distribution
17. Disjoint events cannot overlap. They are mutually exclusive if they cannot occur at the same time.
Symmetric Distribution
Parameter
Disjoint event
Variable
18. Is a collection of several data pertaining to one or more variables
Data Set
Dependent events
Systematic sampling
S x
19. Is a number that describes a characteristic of a sample
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20. Sample variance
Population Size
H1
s2
Center of Distribution
21. Alternative hypothesis
Convenience sampling
H1
Simple Random Sample
Dot plots
22. Parameter
Numerical measurement describing some characteristics of a population.
Stem and leaf plots
Cluster sampling
H0
23. Collection of information from a sample
Designed experiment
p value right tail
Center of Distribution
Survey
24. One extreme value can affect it dramatically.
Stem and leaf plots
Survey
The effect of extreme values on the measures of center
Sample
25. Variable where the value is a number that results from a measurement process - also called numerical data
Center of Distribution
Frequency histogram
Strata sampling
Numerical Variable
26. A flaw in the sampling procedure that makes it more likely that the sample will NOT be representative of population
Numerical measurement describing some characteristics of a population.
Stem-and-Leaf display
Bias
Discrete Data
27. The number of times each data value occurs
Percentile
Frequency
range
Stem and leaf plots
28. 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
Simple random sample
P(A)
Continuous Data
Population Size
29. Test use normalcdf(ZTS -999)
Simple random sample
N
p value right tail
Systematic sampling
30. 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
H1
Bias
p value two tailed test
31. Always use a equal symbol
What symbol must always be found in H0
Frequency histogram
Outliers
Ratio
32. A method in which you randomly choose one number from 'l' to 'k' and continue to select the kth element
Statistics
Parameter
Symmetric Distribution
Systematic sampling
33. Double the answer from step 1 or step 2 (on whichever side your test statistics falls).
The 4 measures of center
p value two tailed test
H0
Disjoint event
34. 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
Relative frequency histogram
Range
Census
35. _______________ are numerical measurements that can assume any value between two numbers
Frequency
p value left tail
Distribution
Continuous Data
36. For a left tailed test use normalcdf(-999 - ZTS)
Nominal
Statistic (note there is no 's' at the end)
p value left tail
37. Occur when one does not affect the probability of the occurrence of the other.
Distribution
Independent events
p
Representative Sample
38. Sum of the values
S x
Numerical measurement describing some characteristic of a sample.
Random Sample or Probability Sample
x
39. Before they are arranged or analyzed - information or observations are called________.
Raw Data
Population
s
Stem-and-Leaf display
40. Is denoted by 'N' - is the number of data values in the population
H1
Data Set
Representative Sample
Population Size
41. An efficient method of graphing information using actual amounts: clusters - gaps - outliers are clearly identified.
What symbol must always be found in H0
Numerical measurement describing some characteristic of a sample.
Distribution
Stem and leaf plots
42. 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).
Graph
Interval
Parameter
Independent events
43. Sample mean
Inferential Statistics
x
Graph
Exploratory data analysis
44. A collection of individuals about which we want to draw conclusions
s2
Population
Skewed Distribution
Sample Variance
45. Is a sample containing similar characteristics of the population
Representative Sample
Continuous Data
Dependent events
The 3 measures of variation
46. Population is organized into groups (i.e - neighborhoods/departments) - and sampling unit is selected by a simple random sample
Cluster sampling
Descriptive Statistics
Distribution
Center of Distribution
47. 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
q
Categorical Variable
Skewed Distribution
48. A descriptive tool used to visually describe the characteristics and relationships of collections of data quickly and attractively
p value two tailed test
Characteristic of a distribution
Graph
Numerical measurement describing some characteristic of a sample.
49. Population variance
S
N
s2
What symbol must always be found in H0
50. Determine the location of the middle value of all the data values
Observational study
Statistics
p value left tail
Center of Distribution
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