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Test your basic knowledge |
DSST Intro To Statistics
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Study First
Subjects
:
dsst
,
statistics
Instructions:
Answer 50 questions in 15 minutes.
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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. Population proportion
Dependent events
Discrete numerical data
s
p
2. A numerical quantity measuring some aspect of the population
Ratio
Parameter
P(A)
Self-selected sample
3. Variable where the value is a number that results from a measurement process - also called numerical data
q
Representative Sample
Percentile
Numerical Variable
4. Standard scores and percentile
The 3 measures of variation
Stem and leaf plots
The 2 measures of relative standing
5. Range - standard deviation and variance.
Statistic (note there is no 's' at the end)
Distribution
The 3 measures of variation
Graph
6. Collection of information from a sample
Survey
Median
Outliers
s
7. To find the range subtract the lowest value by the highest value.
Statistic
Range
Numerical Variable
Census
8. Population size
The 3 measures of variation
Dot plots
N
S x
9. Is the process of selecting a portion - or sample - of the entire population
Distribution
Sampling
Data Set
Parameter
10. Double the answer from step 1 or step 2 (on whichever side your test statistics falls).
Dot plots
Skewed Distribution
p value two tailed test
P(A)
11. Represents categories - and is nonnumerical in nature
Distribution
H1
The effect of extreme values on the measures of center
Categorical Variable
12. Is the process of using SAMPLE INFORMATION to draw inferences or conclusions about the POPULATION
Inferential Statistics
Census
Parameter
Representative Sample
13. Square the standard deviation and to find the population variance square of the population standard deviation
Cluster sampling
Sample Variance
p
s
14. 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
Cluster sampling
Observational study
Outliers
Simple random sample
15. Uses numerical and or visual techniques to summarize or describe the data in a clear effective manner
Observational study
Descriptive Statistics
Census
Statistic (note there is no 's' at the end)
16. The important aspects of the data are called?
P(A)
H1
Inferential Statistics
Characteristic of a distribution
17. Is a collection of several data pertaining to one or more variables
Convenience sampling
Data Set
Statistic (note there is no 's' at the end)
Variable
18. 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
Median
Observational study
Center of Distribution
Sampling
19. A collection of individuals about which we want to draw conclusions
The 3 measures of variation
Population
p value two tailed test
s2
20. To divide the population into 2 or more non-overlapping subsets called strata
Stem-and-Leaf display
Alpha (a)
Parameter
Strata sampling
21. Can be used to get an initial graphical view of data
Distribution
Dot plots
Self-selected sample
x
22. Capital sigma; summation
Sample
Representative Sample
S
Median
23. 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
Exploratory data analysis
Dependent events
Ratio
24. An individual data value which lies far (above or below) from most or all of the other data values within a distribution
Outlier
s2
Random Sample or Probability Sample
s
25. A method of experimentation in which you can control as many variables as possible in order to isolate the effects of a response variable
Designed experiment
Continuous Data
Numerical measurement describing some characteristic of a sample.
Survey
26. 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)
s2
The 3 measures of variation
P(A)
27. Population is organized into groups (i.e - neighborhoods/departments) - and sampling unit is selected by a simple random sample
Outliers
Simple Random Sample
Cluster sampling
Raw Data
28. An efficient method of graphing information using actual amounts: clusters - gaps - outliers are clearly identified.
Population
Disjoint event
Stem and leaf plots
Statistic
29. Type of information - usually a property of characteristic of a person or thing that is measured or observed
N
Variable
Raw Data
Statistic (note there is no 's' at the end)
30. Parameter
Simple random sample
Numerical measurement describing some characteristics of a population.
H1
Sample
31. Occur when one does not affect the probability of the occurrence of the other.
Continuous Data
Range
Independent events
Population
32. A method of data collection where the researcher selects a sample from the population and measures the variable of interest
Survey
Exploratory data analysis
q
Outliers
33. 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
q
Statistic
Exploratory data analysis
Ordinal
34. Sample mean
x
q
Alpha (a)
Cluster sampling
35. Is the portion of the population that is selected for study
Simple random sample
Parameter
Sample
Population
36. Has the same shape and horizontal scale as a histogram - but the vertical scale is marked with relative frequencies instead of actual frequencies
Descriptive Statistics
Relative frequency histogram
Discrete numerical data
Dependent events
37. A flaw in the sampling procedure that makes it more likely that the sample will NOT be representative of population
p
Bias
Symmetric Distribution
Observational study
38. Mean - mode - median and midrange.
Ratio
Distribution
Dependent events
The 4 measures of center
39. A number that is used to describe a characteristic of a sample - such as a sample average - is called a __________.
p
Sampling
Statistic
Ratio
40. Sample proportion
p
Parameter
Independent events
Distribution
41. Collection of information from the whole population
Raw Data
Census
n
Continuous Data
42. Always use a equal symbol
Population
Population Size
Parameter
What symbol must always be found in H0
43. 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
x
Statistics
Population
Dependent events
44. Is a sample containing similar characteristics of the population
Statistics
Observational study
S
Representative Sample
45. A subset of the population- it's important to choose a sample at random to avoid bias in the results
S
Descriptive Statistics
Dependent events
Sample
46. Members of the population select themselves by volunteering
Numerical measurement describing some characteristics of a population.
Stem-and-Leaf display
Observational study
Self-selected sample
47. Determine the location of the middle value of all the data values
Numerical measurement describing some characteristic of a sample.
x
Categorical Variable
Center of Distribution
48. For a left tailed test use normalcdf(-999 - ZTS)
S
p value left tail
Stem-and-Leaf display
Outlier
49. A descriptive tool used to visually describe the characteristics and relationships of collections of data quickly and attractively
Parameter
Dot plots
Graph
Exploratory data analysis
50. When the distribution of the data values tend to be concentrated toward one end of the display or tail of the distribution - while the data values in the other tail are spread out through extreme values resulting in a longer tail
s2
Inferential Statistics
Skewed Distribution
Ratio
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