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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. Determine the location of the middle value of all the data values
N
Center of Distribution
p value right tail
S
2. Population is organized into groups (i.e - neighborhoods/departments) - and sampling unit is selected by a simple random sample
Bias
Disjoint event
Data Set
Cluster sampling
3. Represents categories - and is nonnumerical in nature
Categorical Variable
Systematic sampling
Sample
p value two tailed test
4. Always use a equal symbol
Population
What symbol must always be found in H0
Categorical Variable
Distribution
5. A quantity calculated from data gathered from a sample- usually used to estimate a population parameter
Statistic
Discrete numerical data
Stem and leaf plots
Sample Variance
6. Mu; population mean
Statistic
Sample
Percentile
7. Information about individuals in a population
p value two tailed test
The 2 measures of relative standing
Continuous Data
Data
8. Uses numerical and or visual techniques to summarize or describe the data in a clear effective manner
Descriptive Statistics
Sample
Sampling
Categorical Variable
9. Is denoted by 'N' - is the number of data values in the population
Stem and leaf plots
Population Size
Median
Statistic
10. A method of experimentation in which you can control as many variables as possible in order to isolate the effects of a response variable
H0
Designed experiment
Outlier
Random Sample or Probability Sample
11. An efficient method of graphing information using actual amounts: clusters - gaps - outliers are clearly identified.
Stem and leaf plots
N
Data Set
Sample
12. _______________ are numerical values that can assume only a limited number of values
Discrete numerical data
Convenience sampling
Discrete Data
q
13. 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.
Dependent events
p
Pictograph
S
14. Sample size or number of trials
Simple random sample
s2
n
Sample
15. Middle value of a set of data values after they've been arranged in numerical order - 1. First arrange data values in numerical order 2. For odd # of data values - the median is the middle data value 3. For even # of data values - the median is the m
range
Median
Distribution
Statistic
16. 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
Statistics
Cluster sampling
Convenience sampling
Simple Random Sample
17. Occur when one of them affects the probability of the other.
Self-selected sample
Dependent events
p
Representative Sample
18. One extreme value can affect it dramatically.
Data
Self-selected sample
The effect of extreme values on the measures of center
19. Alternative hypothesis
Population Size
Survey
H1
s
20. 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
p
Population Size
21. _______________ 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
Characteristic of a distribution
Distribution
Alpha (a)
Sample
22. Standard scores and percentile
n
The 2 measures of relative standing
Numerical measurement describing some characteristic of a sample.
H0
23. Sample proportion
Frequency histogram
p
Dot plots
Stem and leaf plots
24. Double the answer from step 1 or step 2 (on whichever side your test statistics falls).
p value two tailed test
Ratio
The 3 measures of variation
Sample Variance
25. Is a sample containing similar characteristics of the population
Sample Size
p value right tail
Representative Sample
n
26. A number that is used to describe a characteristic of a sample - such as a sample average - is called a __________.
Ratio
Statistic
s2
Discrete Data
27. Range - standard deviation and variance.
Center of Distribution
Categorical Variable
The 3 measures of variation
Sample Variance
28. To find the range subtract the lowest value by the highest value.
Range
Sample Size
P(A)
Dot plots
29. Sample standard deviation
s
Skewed Distribution
Data Set
Graph
30. Population size
Raw Data
Symmetric Distribution
N
Cluster sampling
31. Lowercase sigma; population standard deviaition
Sample Size
s
Outliers
s2
32. Statistics
Graph
Raw Data
Percentile
Numerical measurement describing some characteristic of a sample.
33. 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
s2
S
Stem-and-Leaf display
Descriptive Statistics
34. An individual data value which lies far (above or below) from most or all of the other data values within a distribution
Outlier
H1
Systematic sampling
N
35. To divide the population into 2 or more non-overlapping subsets called strata
Strata sampling
Population
What symbol must always be found in H0
s2
36. Mean - mode - median and midrange.
Stem-and-Leaf display
Skewed Distribution
The 4 measures of center
Outlier
37. A collection of individuals about which we want to draw conclusions
s2
Population
Numerical measurement describing some characteristics of a population.
38. Is the portion of the population that is selected for study
Bias
Numerical measurement describing some characteristic of a sample.
Sample
Ordinal
39. 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
Symmetric Distribution
Outliers
N
The 2 measures of relative standing
40. Population proportion
Variable
p
What symbol must always be found in H0
Data Set
41. Is the entire collection of all individuals or objects of interest
Population
Statistics
Inferential Statistics
Stem-and-Leaf display
42. Collection of information from a sample
Bias
Graph
Survey
P(A)
43. Type of information - usually a property of characteristic of a person or thing that is measured or observed
Variable
Raw Data
Observational study
Numerical measurement describing some characteristic of a sample.
44. Population variance
Percentile
Discrete numerical data
s2
Population
45. 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
Percentile
Ratio
Distribution
Designed experiment
46. 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
Symmetric Distribution
Cluster sampling
Population
Distribution
47. Probability of event A
Sample
s
P(A)
Raw Data
48. 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
The 2 measures of relative standing
Stem and leaf plots
Pictograph
Nominal
49. Complement of p
Census
q
Survey
Strata sampling
50. 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)
Statistic
Symmetric Distribution
Statistics