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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. 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
Continuous Data
Median
Characteristic of a distribution
Simple random sample
2. Information about individuals in a population
Data
Sample
Pictograph
Statistic
3. Is a number that describes a characteristic of a population
p value right tail
Census
Parameter
Data
4. Type of bar graph that shows frequency distributions
Parameter
Interval
Ratio
Frequency histogram
5. Lowercase sigma; population standard deviaition
s
Sample
Frequency histogram
Numerical measurement describing some characteristic of a sample.
6. A method in which you randomly choose one number from 'l' to 'k' and continue to select the kth element
Inferential Statistics
Systematic sampling
x
s
7. An individual data value which lies far (above or below) from most or all of the other data values within a distribution
H0
Outlier
Data
8. _______________ are numerical values that can assume only a limited number of values
Population Size
Discrete Data
Graph
Statistics
9. 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
Median
Skewed Distribution
Statistics
Discrete numerical data
10. Uses numerical and or visual techniques to summarize or describe the data in a clear effective manner
Population
Observational study
Descriptive Statistics
Range
11. A method of data collection where the researcher selects a sample from the population and measures the variable of interest
Designed experiment
Simple Random Sample
Survey
Population
12. A collection of individuals about which we want to draw conclusions
Inferential Statistics
p value right tail
Population Size
Population
13. Is denoted by 'n' - is the number of data values in the sample
The 4 measures of center
Nominal
Sample Size
Outliers
14. One extreme value can affect it dramatically.
The effect of extreme values on the measures of center
range
Inferential Statistics
Alpha (a)
15. A quantity calculated from data gathered from a sample- usually used to estimate a population parameter
Statistic
The effect of extreme values on the measures of center
p value right tail
s
16. Disjoint events cannot overlap. They are mutually exclusive if they cannot occur at the same time.
Center of Distribution
s
Disjoint event
17. Double the answer from step 1 or step 2 (on whichever side your test statistics falls).
Frequency histogram
Parameter
p value two tailed test
P(A)
18. 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
Percentile
Skewed Distribution
Symmetric Distribution
Cluster sampling
19. A method of data collection in which the objects of study are observed in their natural settings and the variables are recorded
Numerical Variable
Observational study
Frequency histogram
Simple random sample
20. Sample variance
s2
Sample
Statistic
The 4 measures of center
21. Is a number that describes a characteristic of a sample
22. Represents categories - and is nonnumerical in nature
S
Census
Categorical Variable
Percentile
23. Occur when one of them affects the probability of the other.
Dependent events
Population
Graph
Survey
24. Create a sample by using data from population members that are readily available
Sample
Raw Data
Convenience sampling
The 3 measures of variation
25. Is denoted by 'N' - is the number of data values in the population
Raw Data
What symbol must always be found in H0
Population Size
26. 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
Representative Sample
x
The effect of extreme values on the measures of center
Stem-and-Leaf display
27. A method of experimentation in which you can control as many variables as possible in order to isolate the effects of a response variable
Convenience sampling
Simple random sample
Designed experiment
S x
28. 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
Independent events
Median
Pictograph
Nominal
29. Type of information - usually a property of characteristic of a person or thing that is measured or observed
Systematic sampling
Census
Variable
p value two tailed test
30. Is the entire collection of all individuals or objects of interest
Variable
Numerical measurement describing some characteristics of a population.
Population
s2
31. A numerical quantity measuring some aspect of the population
Parameter
Observational study
Frequency
Interval
32. 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
Outliers
Simple Random Sample
Frequency histogram
Sample
33. The number of times each data value occurs
Frequency
Inferential Statistics
Self-selected sample
Statistic (note there is no 's' at the end)
34. _______________ are numerical measurements that can assume any value between two numbers
Continuous Data
Alpha (a)
Representative Sample
35. For a left tailed test use normalcdf(-999 - ZTS)
Sample
p value left tail
Continuous Data
Census
36. Sample mean
Nominal
Raw Data
x
Sample
37. Determine the location of the middle value of all the data values
x
Numerical measurement describing some characteristic of a sample.
Center of Distribution
38. 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.
S
Representative Sample
Distribution
Pictograph
39. Has the same shape and horizontal scale as a histogram - but the vertical scale is marked with relative frequencies instead of actual frequencies
Relative frequency histogram
s2
Numerical measurement describing some characteristic of a sample.
Census
40. To calculate the percentile take the number of values less than x - divide by total number of values and times by 100.
Dot plots
Percentile
Designed experiment
Distribution
41. To divide the population into 2 or more non-overlapping subsets called strata
Simple Random Sample
Variable
s
Strata sampling
42. 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
s
n
Designed experiment
Alpha (a)
43. 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).
H1
p value right tail
Center of Distribution
Interval
44. Is a collection of several data pertaining to one or more variables
S x
q
Data Set
45. Always use a equal symbol
Outliers
Discrete Data
Statistic (note there is no 's' at the end)
What symbol must always be found in H0
46. 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
Representative Sample
Ordinal
Population Size
Census
47. Test use normalcdf(ZTS -999)
Survey
Parameter
Convenience sampling
p value right tail
48. A flaw in the sampling procedure that makes it more likely that the sample will NOT be representative of population
The 3 measures of variation
Variable
Raw Data
Bias
49. Sample size or number of trials
n
Statistics
The 2 measures of relative standing
Sample
50. Null hypothesis
H0
Median
Relative frequency histogram
Independent events