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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. (largest data value) - (smallest data value)
Alpha (a)
The effect of extreme values on the measures of center
range
p value left tail
2. 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
p
Continuous Data
Ordinal
Pictograph
3. Can be used to get an initial graphical view of data
Representative Sample
Statistic (note there is no 's' at the end)
Dot plots
Survey
4. The number of times each data value occurs
Interval
Population Size
Pictograph
Frequency
5. Uses numerical and or visual techniques to summarize or describe the data in a clear effective manner
Categorical Variable
The 4 measures of center
Descriptive Statistics
s
6. A quantity calculated from data gathered from a sample- usually used to estimate a population parameter
Statistic
Symmetric Distribution
Discrete Data
Bias
7. Complement of p
q
Designed experiment
Disjoint event
Outlier
8. 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
Census
Stem-and-Leaf display
Representative Sample
Numerical Variable
9. An efficient method of graphing information using actual amounts: clusters - gaps - outliers are clearly identified.
Statistic
Stem and leaf plots
Symmetric Distribution
S x
10. A number that is used to describe a characteristic of a sample - such as a sample average - is called a __________.
S x
p value right tail
Statistic
Sample Size
11. Sample variance
Alpha (a)
s2
Cluster sampling
The 2 measures of relative standing
12. _______________ are numerical measurements that can assume any value between two numbers
s2
Continuous Data
p value two tailed test
Frequency
13. Is the entire collection of all individuals or objects of interest
Statistic (note there is no 's' at the end)
Population
p value left tail
Statistics
14. Always use a equal symbol
What symbol must always be found in H0
Interval
Sampling
Population Size
15. Mean - mode - median and midrange.
The 3 measures of variation
Census
The 4 measures of center
x
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
p value right tail
Population
Symmetric Distribution
Simple random sample
17. Information about individuals in a population
Outliers
Data
H1
Cluster sampling
18. Collection of information from a sample
Strata sampling
Survey
H0
Ordinal
19. Population variance
S x
s2
Sampling
What symbol must always be found in H0
20. Alternative hypothesis
Dot plots
Census
Frequency
H1
21. Is the portion of the population that is selected for study
H1
Numerical Variable
Statistic
Sample
22. The important aspects of the data are called?
p
Percentile
Sampling
Characteristic of a distribution
23. Is a number that describes a characteristic of a sample
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24. Parameter
Dot plots
Bias
Outliers
Numerical measurement describing some characteristics of a population.
25. Represents categories - and is nonnumerical in nature
Pictograph
The effect of extreme values on the measures of center
Categorical Variable
Frequency histogram
26. Sum of the values
S x
Nominal
Descriptive Statistics
Simple random sample
27. To calculate the percentile take the number of values less than x - divide by total number of values and times by 100.
Statistic
Percentile
Population
Parameter
28. Square the standard deviation and to find the population variance square of the population standard deviation
Convenience sampling
Bias
Skewed Distribution
Sample Variance
29. Sample size or number of trials
s2
Characteristic of a distribution
n
Median
30. Sample proportion
Self-selected sample
Numerical measurement describing some characteristics of a population.
p
Percentile
31. A numerical quantity measuring some aspect of the population
Cluster sampling
The effect of extreme values on the measures of center
Parameter
Relative frequency histogram
32. One extreme value can affect it dramatically.
Nominal
Simple Random Sample
The effect of extreme values on the measures of center
p
33. Occur when one does not affect the probability of the occurrence of the other.
Center of Distribution
Independent events
Dot plots
Numerical Variable
34. _______________ 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
p
Statistic
Distribution
q
35. Null hypothesis
Frequency
Percentile
H0
Skewed Distribution
36. Mu; population mean
Statistic
S
Population Size
37. Variable where the value is a number that results from a measurement process - also called numerical data
Numerical Variable
range
H0
Census
38. 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
Sample
Strata sampling
Alpha (a)
Simple Random Sample
39. Standard scores and percentile
Sample
Categorical Variable
The 2 measures of relative standing
Percentile
40. A method of data collection in which the objects of study are observed in their natural settings and the variables are recorded
Convenience sampling
Observational study
Raw Data
Inferential Statistics
41. Disjoint events cannot overlap. They are mutually exclusive if they cannot occur at the same time.
s2
Disjoint event
N
Interval
42. Is the process of using SAMPLE INFORMATION to draw inferences or conclusions about the POPULATION
Numerical measurement describing some characteristic of a sample.
Inferential Statistics
Distribution
range
43. A method in which you randomly choose one number from 'l' to 'k' and continue to select the kth element
Simple random sample
S x
Systematic sampling
Designed experiment
44. Occur when one of them affects the probability of the other.
Inferential Statistics
Statistic
Dependent events
S x
45. Type of bar graph that shows frequency distributions
Frequency histogram
Survey
range
Statistic
46. The pattern of variation of data. The distribution may be described as symmetrical - positively skewed - or negatively skewed
Exploratory data analysis
p
Characteristic of a distribution
Distribution
47. A method of experimentation in which you can control as many variables as possible in order to isolate the effects of a response variable
The effect of extreme values on the measures of center
Disjoint event
Bias
Designed experiment
48. Double the answer from step 1 or step 2 (on whichever side your test statistics falls).
p value two tailed test
Nominal
The 4 measures of center
Skewed Distribution
49. Is a sample that has the pertinent characteristics of the population in the same proportion - as they are included in that population
Representative Sample
s
Population
Sample Variance
50. 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
Sampling
Nominal
Data Set
Numerical Variable