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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
.
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. Disjoint events cannot overlap. They are mutually exclusive if they cannot occur at the same time.
Random Sample or Probability Sample
Numerical measurement describing some characteristic of a sample.
Disjoint event
Representative Sample
2. Is the portion of the population that is selected for study
Interval
Sample
Population Size
H0
3. Parameter
Numerical measurement describing some characteristics of a population.
P(A)
Random Sample or Probability Sample
Data Set
4. 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
Simple Random Sample
Median
Bias
Cluster sampling
5. A number that is used to describe a characteristic of a sample - such as a sample average - is called a __________.
Systematic sampling
Statistic
Self-selected sample
p
6. 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
Independent events
p
Random Sample or Probability Sample
Population Size
7. A method of data collection in which the objects of study are observed in their natural settings and the variables are recorded
Strata sampling
Median
Distribution
Observational study
8. _______________ are numerical values that can assume only a limited number of values
P(A)
Discrete Data
Percentile
S x
9. A descriptive tool used to visually describe the characteristics and relationships of collections of data quickly and attractively
Systematic sampling
Data Set
Discrete Data
Graph
10. Is a sample containing similar characteristics of the population
range
Representative Sample
Frequency histogram
Descriptive Statistics
11. Has the same shape and horizontal scale as a histogram - but the vertical scale is marked with relative frequencies instead of actual frequencies
Sample Size
Relative frequency histogram
p value two tailed test
p value left tail
12. Is denoted by 'N' - is the number of data values in the population
Exploratory data analysis
Self-selected sample
Population Size
q
13. Create a sample by using data from population members that are readily available
Convenience sampling
q
What symbol must always be found in H0
Population
14. Is the entire collection of all individuals or objects of interest
Population
Ratio
Convenience sampling
Median
15. Statistics
Numerical measurement describing some characteristic of a sample.
Ratio
Characteristic of a distribution
Designed experiment
16. Complement of p
Stem-and-Leaf display
P(A)
q
s
17. An individual data value which lies far (above or below) from most or all of the other data values within a distribution
Relative frequency histogram
Census
Statistic
Outlier
18. Level of measurement- Is like the ordinal level - with the additional property that we can determine meaningful amounts of differences between data. However - there is no inherent (natural) zero starting point (where none of the quantity is present).
Outlier
Interval
Statistic
range
19. A method in which you randomly choose one number from 'l' to 'k' and continue to select the kth element
s2
Systematic sampling
H0
range
20. Test use normalcdf(ZTS -999)
Ordinal
q
Outlier
p value right tail
21. Double the answer from step 1 or step 2 (on whichever side your test statistics falls).
Variable
p value two tailed test
H1
Median
22. 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.
Pictograph
s
s2
Statistics
23. Determine the location of the middle value of all the data values
Raw Data
Median
Population
Center of Distribution
24. Represents categories - and is nonnumerical in nature
Numerical measurement describing some characteristic of a sample.
Categorical Variable
Frequency histogram
p value two tailed test
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
Census
Outlier
Range
Designed experiment
26. Sample standard deviation
p value two tailed test
Inferential Statistics
Bias
s
27. A numerical quantity measuring some aspect of the population
Population
Parameter
Outlier
Numerical measurement describing some characteristics of a population.
28. Is a number that describes a characteristic of a sample
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29. Type II error is measured
Data
q
P(A)
30. 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
Outlier
Stem-and-Leaf display
Center of Distribution
Disjoint event
31. A collection of individuals about which we want to draw conclusions
Designed experiment
Population
p value two tailed test
Numerical measurement describing some characteristics of a population.
32. One extreme value can affect it dramatically.
The effect of extreme values on the measures of center
Parameter
The 3 measures of variation
Symmetric Distribution
33. Is the process of using SAMPLE INFORMATION to draw inferences or conclusions about the POPULATION
n
Inferential Statistics
Census
Population Size
34. Lowercase sigma; population standard deviaition
s
S x
Statistic
Frequency
35. (largest data value) - (smallest data value)
Frequency histogram
Self-selected sample
Relative frequency histogram
range
36. Mu; population mean
Sampling
Descriptive Statistics
What symbol must always be found in H0
37. 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
Ratio
The effect of extreme values on the measures of center
Center of Distribution
Parameter
38. 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
N
Survey
H1
Simple random sample
39. Sample size or number of trials
Interval
Pictograph
Census
n
40. Using graphs and numerical summaries to describe variables in a data set and their relationship
Sampling
Frequency histogram
Exploratory data analysis
Designed experiment
41. Sum of the values
The 4 measures of center
Census
N
S x
42. Occur when one of them affects the probability of the other.
S x
Population
p value left tail
Dependent events
43. A subset of the population- it's important to choose a sample at random to avoid bias in the results
Sample
The 4 measures of center
Survey
44. The number of times each data value occurs
Dependent events
s2
Frequency
p value right tail
45. Type of information - usually a property of characteristic of a person or thing that is measured or observed
Variable
Simple random sample
Outliers
Percentile
46. To find the range subtract the lowest value by the highest value.
Outliers
Ordinal
Range
Statistic (note there is no 's' at the end)
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
Dependent events
Descriptive Statistics
Center of Distribution
Outliers
48. Collection of information from a sample
Percentile
Survey
Outliers
Relative frequency histogram
49. To calculate the percentile take the number of values less than x - divide by total number of values and times by 100.
Percentile
S
Distribution
Center of Distribution
50. Standard scores and percentile
Simple random sample
H1
The 2 measures of relative standing
Sample
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