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Test your basic knowledge |
DSST Intro To Statistics
Start Test
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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. 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
Observational study
Simple Random Sample
Survey
Designed experiment
2. A method in which you randomly choose one number from 'l' to 'k' and continue to select the kth element
Population
Categorical Variable
Systematic sampling
s
3. A quantity calculated from data gathered from a sample- usually used to estimate a population parameter
S
Statistic
Survey
Ratio
4. Create a sample by using data from population members that are readily available
Convenience sampling
The 3 measures of variation
p value two tailed test
Population Size
5. A collection of individuals about which we want to draw conclusions
The effect of extreme values on the measures of center
Population
Nominal
Interval
6. 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
Simple random sample
Alpha (a)
Characteristic of a distribution
Variable
7. Is denoted by 'N' - is the number of data values in the population
Survey
Population Size
Dependent events
Statistic (note there is no 's' at the end)
8. Using graphs and numerical summaries to describe variables in a data set and their relationship
Numerical Variable
Disjoint event
Exploratory data analysis
Population
9. Alternative hypothesis
Alpha (a)
H0
H1
Cluster sampling
10. Null hypothesis
S x
H0
Stem-and-Leaf display
P(A)
11. Complement of p
Pictograph
Numerical Variable
q
p value two tailed test
12. Sample variance
Parameter
s2
Exploratory data analysis
Representative Sample
13. Collection of information from a sample
Sample Variance
Survey
Population
Sampling
14. Sample standard deviation
Categorical Variable
s
Population
Statistics
15. A survey that includes every item or individual of the population
s
Range
Representative Sample
Census
16. Occur when one of them affects the probability of the other.
Simple random sample
Discrete numerical data
Stem-and-Leaf display
Dependent events
17. Capital sigma; summation
Numerical measurement describing some characteristic of a sample.
What symbol must always be found in H0
n
S
18. 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
Relative frequency histogram
Random Sample or Probability Sample
Percentile
Stem-and-Leaf display
19. Population proportion
Relative frequency histogram
Parameter
Center of Distribution
p
20. 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
Alpha (a)
Discrete numerical data
Graph
21. Can be used to get an initial graphical view of data
S
What symbol must always be found in H0
Dot plots
p value two tailed test
22. Square the standard deviation and to find the population variance square of the population standard deviation
Dependent events
Sample Variance
s
Continuous Data
23. A subset of the population- it's important to choose a sample at random to avoid bias in the results
Sample
Sampling
Independent events
24. The important aspects of the data are called?
Distribution
Characteristic of a distribution
Statistics
s2
25. Determine the location of the middle value of all the data values
Discrete numerical data
Random Sample or Probability Sample
Center of Distribution
Data Set
26. 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
S x
Ordinal
Dot plots
27. Is a sample containing similar characteristics of the population
Bias
Sample Variance
The effect of extreme values on the measures of center
Representative Sample
28. For a left tailed test use normalcdf(-999 - ZTS)
Population
Median
p value left tail
Nominal
29. Sample proportion
n
Designed experiment
Frequency
p
30. Is the process of selecting a portion - or sample - of the entire population
Survey
Relative frequency histogram
Sampling
P(A)
31. Type of bar graph that shows frequency distributions
Statistics
Range
Frequency histogram
Discrete Data
32. Parameter
The 4 measures of center
Numerical measurement describing some characteristics of a population.
Survey
Ordinal
33. The variable value can be represented as isolated points on a number line
Dependent events
Discrete numerical data
s
Disjoint event
34. Always use a equal symbol
H1
Alpha (a)
p
What symbol must always be found in H0
35. 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
Observational study
The 4 measures of center
s2
Ordinal
36. Is a collection of several data pertaining to one or more variables
S
Statistic (note there is no 's' at the end)
Data Set
Population
37. Type of information - usually a property of characteristic of a person or thing that is measured or observed
Numerical measurement describing some characteristics of a population.
Nominal
Distribution
Variable
38. A numerical quantity measuring some aspect of the population
Outliers
Parameter
Statistic
Survey
39. Sum of the values
Nominal
p value left tail
s2
S x
40. Before they are arranged or analyzed - information or observations are called________.
Representative Sample
Numerical Variable
Designed experiment
Raw Data
41. To calculate the percentile take the number of values less than x - divide by total number of values and times by 100.
p
Variable
Parameter
Percentile
42. Range - standard deviation and variance.
The 3 measures of variation
S x
Descriptive Statistics
Sample Size
43. Mu; population mean
Frequency
Cluster sampling
Self-selected sample
44. A descriptive tool used to visually describe the characteristics and relationships of collections of data quickly and attractively
Graph
The 2 measures of relative standing
S
Ordinal
45. Is a number that describes a characteristic of a sample
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46. 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
Outlier
Independent events
Population
Skewed Distribution
47. Is the portion of the population that is selected for study
Stem-and-Leaf display
Sample
p
Exploratory data analysis
48. A number that is used to describe a characteristic of a sample - such as a sample average - is called a __________.
Census
Pictograph
Ratio
Statistic
49. 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
Observational study
Skewed Distribution
Numerical Variable
Alpha (a)
50. 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
Numerical Variable
Ratio
Simple Random Sample
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