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Test your basic knowledge |
DSST Intro To Statistics
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Subjects
:
dsst
,
statistics
Instructions:
Answer 50 questions in 15 minutes.
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study here
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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. Is a collection of several data pertaining to one or more variables
x
Dot plots
Data Set
H1
2. Collection of information from the whole population
Census
Numerical Variable
Parameter
x
3. Alternative hypothesis
Simple random sample
Skewed Distribution
Statistic (note there is no 's' at the end)
H1
4. Sample proportion
Numerical Variable
Characteristic of a distribution
p
P(A)
5. A method in which you randomly choose one number from 'l' to 'k' and continue to select the kth element
Statistics
Systematic sampling
Observational study
Alpha (a)
6. To divide the population into 2 or more non-overlapping subsets called strata
Representative Sample
H1
Strata sampling
n
7. 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
Statistic
Distribution
Skewed Distribution
p
8. Sample mean
Categorical Variable
x
The 2 measures of relative standing
Inferential Statistics
9. Statistics
Stem and leaf plots
Population
Outlier
Numerical measurement describing some characteristic of a sample.
10. A flaw in the sampling procedure that makes it more likely that the sample will NOT be representative of population
Bias
S x
Frequency histogram
Random Sample or Probability Sample
11. Members of the population select themselves by volunteering
Stem and leaf plots
Self-selected sample
The 2 measures of relative standing
12. Type II error is measured
Observational study
Ordinal
Census
13. An individual data value which lies far (above or below) from most or all of the other data values within a distribution
Ordinal
Outlier
P(A)
Census
14. Population is organized into groups (i.e - neighborhoods/departments) - and sampling unit is selected by a simple random sample
Median
Representative Sample
Cluster sampling
S x
15. Test use normalcdf(ZTS -999)
s2
p value right tail
Census
Census
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
Categorical Variable
Inferential Statistics
Simple Random Sample
Interval
17. 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.
Sample Size
Pictograph
Discrete Data
Ordinal
18. Occur when one of them affects the probability of the other.
Dependent events
Ratio
Nominal
Stem-and-Leaf display
19. Determine the location of the middle value of all the data values
The 4 measures of center
s
Center of Distribution
20. 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
Sampling
Statistics
Convenience sampling
Graph
21. Complement of p
q
Outlier
x
Statistics
22. Using graphs and numerical summaries to describe variables in a data set and their relationship
Population
Exploratory data analysis
Simple Random Sample
q
23. 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)
Characteristic of a distribution
Observational study
Descriptive Statistics
24. Is the entire collection of all individuals or objects of interest
S
Stem and leaf plots
Population
Numerical Variable
25. Is denoted by 'n' - is the number of data values in the sample
Census
Sample Size
Frequency histogram
s
26. A subset of the population- it's important to choose a sample at random to avoid bias in the results
Exploratory data analysis
Sample
Data Set
Percentile
27. _______________ are numerical measurements that can assume any value between two numbers
Survey
Continuous Data
s2
p value right tail
28. 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
Raw Data
H1
Convenience sampling
29. Sample standard deviation
Population
s2
s
30. A survey that includes every item or individual of the population
Random Sample or Probability Sample
Statistic (note there is no 's' at the end)
Census
31. A method of data collection where the researcher selects a sample from the population and measures the variable of interest
Survey
The 4 measures of center
Observational study
Interval
32. Collection of information from a sample
Numerical measurement describing some characteristic of a sample.
Population Size
Survey
P(A)
33. Mu; population mean
Disjoint event
Representative Sample
Range
34. One extreme value can affect it dramatically.
The 2 measures of relative standing
The effect of extreme values on the measures of center
Representative Sample
Numerical measurement describing some characteristics of a population.
35. A descriptive tool used to visually describe the characteristics and relationships of collections of data quickly and attractively
Sampling
Graph
N
Random Sample or Probability Sample
36. Standard scores and percentile
Parameter
The 2 measures of relative standing
Independent events
Observational study
37. Can be used to get an initial graphical view of data
N
Dot plots
Categorical Variable
Graph
38. Represents categories - and is nonnumerical in nature
N
Categorical Variable
Dependent events
Frequency
39. Is denoted by 'N' - is the number of data values in the population
Population Size
Pictograph
Frequency histogram
Descriptive Statistics
40. Is the process of using SAMPLE INFORMATION to draw inferences or conclusions about the POPULATION
Continuous Data
Bias
Representative Sample
Inferential Statistics
41. Population variance
s2
p
Center of Distribution
Population Size
42. Mean - mode - median and midrange.
Dot plots
Data
Outlier
The 4 measures of center
43. Always use a equal symbol
P(A)
H0
What symbol must always be found in H0
Strata sampling
44. Null hypothesis
H0
Census
Convenience sampling
Sampling
45. Population size
Continuous Data
N
s
Representative Sample
46. 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
H1
Strata sampling
Cluster sampling
Ratio
47. The important aspects of the data are called?
n
Sample
Characteristic of a distribution
Outlier
48. Probability of event A
s2
Pictograph
P(A)
Parameter
49. 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
Stem-and-Leaf display
Inferential Statistics
p
50. _______________ are numerical values that can assume only a limited number of values
Discrete Data
What symbol must always be found in H0
Representative Sample
Characteristic of a distribution
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