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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. Collection of information from a sample
Survey
Statistic
p
Sample Size
2. Is a number that describes a characteristic of a population
Strata sampling
Observational study
Simple random sample
Parameter
3. Uses numerical and or visual techniques to summarize or describe the data in a clear effective manner
Descriptive Statistics
x
Cluster sampling
Skewed Distribution
4. A subset of the population- it's important to choose a sample at random to avoid bias in the results
Data
Skewed Distribution
Percentile
Sample
5. 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
Population
Numerical measurement describing some characteristic of a sample.
s2
Statistics
6. Type of bar graph that shows frequency distributions
S x
The 2 measures of relative standing
Frequency histogram
s2
7. Is the process of selecting a portion - or sample - of the entire population
Data Set
Sampling
Discrete numerical data
8. Is a collection of several data pertaining to one or more variables
Data Set
p
range
s2
9. Mean - mode - median and midrange.
Sample
Symmetric Distribution
The 4 measures of center
Statistic
10. 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)
Parameter
Percentile
Population
11. Variable where the value is a number that results from a measurement process - also called numerical data
Numerical Variable
Frequency histogram
s2
n
12. Is the process of using SAMPLE INFORMATION to draw inferences or conclusions about the POPULATION
Inferential Statistics
Discrete numerical data
Survey
Data Set
13. Population proportion
p
S x
Independent events
14. Probability of event A
Disjoint event
Sample
P(A)
x
15. A quantity calculated from data gathered from a sample- usually used to estimate a population parameter
Statistic
p
Numerical Variable
q
16. Determine the location of the middle value of all the data values
P(A)
Center of Distribution
Survey
Characteristic of a distribution
17. The number of times each data value occurs
Inferential Statistics
Characteristic of a distribution
Frequency
Survey
18. _______________ 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
Distribution
Bias
s2
p value left tail
19. Alternative hypothesis
Raw Data
s2
H1
Numerical measurement describing some characteristics of a population.
20. Occur when one of them affects the probability of the other.
s
Median
Dependent events
Sampling
21. Is denoted by 'n' - is the number of data values in the sample
What symbol must always be found in H0
Sample Size
Data
Census
22. A number that is used to describe a characteristic of a sample - such as a sample average - is called a __________.
p value left tail
The 2 measures of relative standing
Statistic
What symbol must always be found in H0
23. Represents categories - and is nonnumerical in nature
s
Representative Sample
Discrete numerical data
Categorical Variable
24. _______________ are numerical values that can assume only a limited number of values
Outliers
Sample Size
Discrete Data
p
25. A survey that includes every item or individual of the population
The effect of extreme values on the measures of center
Pictograph
Random Sample or Probability Sample
Census
26. 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
Statistics
Characteristic of a distribution
Simple random sample
s
27. 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.
H0
Continuous Data
Sample Variance
Pictograph
28. A method in which you randomly choose one number from 'l' to 'k' and continue to select the kth element
The effect of extreme values on the measures of center
Dot plots
Systematic sampling
Sample Size
29. Is denoted by 'N' - is the number of data values in the population
Categorical Variable
Data
Population Size
Alpha (a)
30. Is a number that describes a characteristic of a sample
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31. 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
Representative Sample
The 3 measures of variation
Ordinal
32. Sample size or number of trials
The 2 measures of relative standing
Parameter
n
33. Is the portion of the population that is selected for study
Interval
Sample
p value right tail
Survey
34. Sum of the values
Statistic (note there is no 's' at the end)
S x
Stem-and-Leaf display
range
35. The important aspects of the data are called?
Designed experiment
Characteristic of a distribution
Percentile
Dot plots
36. A method of data collection where the researcher selects a sample from the population and measures the variable of interest
The 2 measures of relative standing
Convenience sampling
Ratio
Survey
37. Using graphs and numerical summaries to describe variables in a data set and their relationship
q
Categorical Variable
Exploratory data analysis
Numerical Variable
38. To find the range subtract the lowest value by the highest value.
Inferential Statistics
Range
Discrete numerical data
Distribution
39. Type of information - usually a property of characteristic of a person or thing that is measured or observed
Ratio
Survey
Sample Size
Variable
40. A method of experimentation in which you can control as many variables as possible in order to isolate the effects of a response variable
S
Census
Designed experiment
Representative Sample
41. A flaw in the sampling procedure that makes it more likely that the sample will NOT be representative of population
Statistic
x
Nominal
Bias
42. Collection of information from the whole population
Statistic
p value two tailed test
Census
Ratio
43. 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
Statistic (note there is no 's' at the end)
Ratio
Random Sample or Probability Sample
s
44. 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
Bias
Range
S x
Ordinal
45. Complement of p
p value two tailed test
q
Sampling
Sample
46. 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
Systematic sampling
S
Discrete Data
Random Sample or Probability Sample
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
s2
Center of Distribution
Categorical Variable
Outliers
48. Disjoint events cannot overlap. They are mutually exclusive if they cannot occur at the same time.
Categorical Variable
Characteristic of a distribution
Disjoint event
p value left tail
49. Statistics
Numerical measurement describing some characteristic of a sample.
Discrete numerical data
Relative frequency histogram
Systematic sampling
50. A method of data collection in which the objects of study are observed in their natural settings and the variables are recorded
Observational study
Range
Census
P(A)