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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. Represents categories - and is nonnumerical in nature
Categorical Variable
Parameter
Descriptive Statistics
p value right tail
2. An individual data value which lies far (above or below) from most or all of the other data values within a distribution
Outlier
Sample Size
Stem-and-Leaf display
Population Size
3. Population is organized into groups (i.e - neighborhoods/departments) - and sampling unit is selected by a simple random sample
Cluster sampling
Population
N
The 2 measures of relative standing
4. Before they are arranged or analyzed - information or observations are called________.
x
The 3 measures of variation
H1
Raw Data
5. Occur when one does not affect the probability of the occurrence of the other.
Representative Sample
Discrete numerical data
Cluster sampling
Independent events
6. Create a sample by using data from population members that are readily available
Census
Symmetric Distribution
Convenience sampling
Sample Variance
7. 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
Independent events
Outlier
Characteristic of a distribution
Ratio
8. Probability of event A
p
Interval
P(A)
p value left tail
9. Collection of information from a sample
Exploratory data analysis
Survey
Outlier
Designed experiment
10. A descriptive tool used to visually describe the characteristics and relationships of collections of data quickly and attractively
Graph
Census
Convenience sampling
Data
11. One extreme value can affect it dramatically.
The effect of extreme values on the measures of center
x
The 3 measures of variation
Dependent events
12. 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
Alpha (a)
range
Dependent events
Exploratory data analysis
13. Type of bar graph that shows frequency distributions
Frequency histogram
Numerical measurement describing some characteristics of a population.
Observational study
Population Size
14. Members of the population select themselves by volunteering
Statistics
Continuous Data
Stem and leaf plots
Self-selected sample
15. A survey that includes every item or individual of the population
Parameter
p value two tailed test
Census
Numerical measurement describing some characteristics of a population.
16. A method of data collection in which the objects of study are observed in their natural settings and the variables are recorded
Observational study
Numerical Variable
Numerical measurement describing some characteristics of a population.
Characteristic of a distribution
17. Occur when one of them affects the probability of the other.
Representative Sample
Dependent events
Center of Distribution
Relative frequency histogram
18. 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
Continuous Data
Ordinal
The 4 measures of center
Sampling
19. Population size
Designed experiment
Median
Observational study
N
20. 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
Sample Size
Simple random sample
p
Distribution
21. (largest data value) - (smallest data value)
Systematic sampling
S
range
Distribution
22. To calculate the percentile take the number of values less than x - divide by total number of values and times by 100.
Continuous Data
Percentile
Numerical measurement describing some characteristic of a sample.
x
23. The important aspects of the data are called?
Dot plots
Characteristic of a distribution
Frequency
24. Sample proportion
Survey
Characteristic of a distribution
p
The 2 measures of relative standing
25. Double the answer from step 1 or step 2 (on whichever side your test statistics falls).
Characteristic of a distribution
s2
p value two tailed test
What symbol must always be found in H0
26. 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
Symmetric Distribution
Frequency
Strata sampling
Statistics
27. Is the portion of the population that is selected for study
What symbol must always be found in H0
Characteristic of a distribution
Sample
Parameter
28. Is a sample containing similar characteristics of the population
Bias
Data Set
Representative Sample
Distribution
29. Variable where the value is a number that results from a measurement process - also called numerical data
N
Dot plots
Census
Numerical Variable
30. Can be used to get an initial graphical view of data
Simple Random Sample
Dot plots
Representative Sample
S
31. Disjoint events cannot overlap. They are mutually exclusive if they cannot occur at the same time.
Frequency histogram
Skewed Distribution
Disjoint event
32. Is the entire collection of all individuals or objects of interest
Frequency histogram
Population
Median
Observational study
33. Is a number that describes a characteristic of a sample
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34. To divide the population into 2 or more non-overlapping subsets called strata
Raw Data
Strata sampling
The 2 measures of relative standing
Data
35. Using graphs and numerical summaries to describe variables in a data set and their relationship
p value two tailed test
Ratio
Exploratory data analysis
p value left tail
36. Level of measurement- involves data that consist of names - labels and categories only. The data cannot be arranged in an ordering scheme (such as low to high). (Example) Nationalities of survey respondents
Statistic
Independent events
Self-selected sample
Nominal
37. _______________ are numerical values that can assume only a limited number of values
Exploratory data analysis
Strata sampling
The 4 measures of center
Discrete Data
38. Mu; population mean
Center of Distribution
H1
Population
39. Has the same shape and horizontal scale as a histogram - but the vertical scale is marked with relative frequencies instead of actual frequencies
Simple random sample
Stem-and-Leaf display
Relative frequency histogram
Raw Data
40. A collection of individuals about which we want to draw conclusions
Population
Representative Sample
Independent events
S
41. Mean - mode - median and midrange.
The 4 measures of center
Variable
Population
Designed experiment
42. An efficient method of graphing information using actual amounts: clusters - gaps - outliers are clearly identified.
Designed experiment
Survey
Stem and leaf plots
43. Type II error is measured
n
H0
p
44. Determine the location of the middle value of all the data values
Population
x
Systematic sampling
Center of Distribution
45. 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
range
Sample Variance
Symmetric Distribution
S
46. Sum of the values
Continuous Data
S x
Parameter
range
47. _______________ are numerical measurements that can assume any value between two numbers
Exploratory data analysis
Outlier
H1
Continuous Data
48. Test use normalcdf(ZTS -999)
Center of Distribution
Bias
p value right tail
Variable
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
Frequency histogram
Characteristic of a distribution
Representative Sample
Outliers
50. Capital sigma; summation
N
H0
The effect of extreme values on the measures of center
S