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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. Is a sample that has the pertinent characteristics of the population in the same proportion - as they are included in that population
Center of Distribution
Representative Sample
Population
2. 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
Independent events
Discrete Data
Statistics
Range
3. The number of times each data value occurs
Population
Sampling
p value right tail
Frequency
4. Sample mean
x
Distribution
Ordinal
Sample
5. A method of experimentation in which you can control as many variables as possible in order to isolate the effects of a response variable
Outlier
Designed experiment
Nominal
The 3 measures of variation
6. To calculate the percentile take the number of values less than x - divide by total number of values and times by 100.
Percentile
Continuous Data
Numerical measurement describing some characteristic of a sample.
Median
7. Create a sample by using data from population members that are readily available
Ratio
Variable
Numerical measurement describing some characteristic of a sample.
Convenience sampling
8. _______________ 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
Strata sampling
The 3 measures of variation
Characteristic of a distribution
Distribution
9. A descriptive tool used to visually describe the characteristics and relationships of collections of data quickly and attractively
q
p
Graph
Survey
10. Occur when one of them affects the probability of the other.
Simple random sample
Dependent events
Discrete Data
H1
11. 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
Dot plots
Exploratory data analysis
range
12. Population proportion
N
Data Set
p
Graph
13. 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
Stem-and-Leaf display
S x
Median
Disjoint event
14. _______________ are numerical values that can assume only a limited number of values
Cluster sampling
Discrete Data
Alpha (a)
Population Size
15. Range - standard deviation and variance.
Parameter
The 3 measures of variation
Bias
Symmetric Distribution
16. 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
Nominal
Range
P(A)
Disjoint event
17. 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).
Descriptive Statistics
Interval
The 4 measures of center
The effect of extreme values on the measures of center
18. Test use normalcdf(ZTS -999)
The 2 measures of relative standing
Stem and leaf plots
The 3 measures of variation
p value right tail
19. _______________ are numerical measurements that can assume any value between two numbers
Continuous Data
Range
Sample Size
Representative Sample
20. Is the entire collection of all individuals or objects of interest
Frequency
p
Population
Statistic (note there is no 's' at the end)
21. A number that is used to describe a characteristic of a sample - such as a sample average - is called a __________.
Sample Size
Survey
H1
Statistic
22. Population variance
Population
p
s2
Observational study
23. Square the standard deviation and to find the population variance square of the population standard deviation
Representative Sample
Discrete Data
Relative frequency histogram
Sample Variance
24. 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
Survey
Outlier
Statistic (note there is no 's' at the end)
25. Variable where the value is a number that results from a measurement process - also called numerical data
Sample Size
Numerical Variable
H0
H1
26. Occur when one does not affect the probability of the occurrence of the other.
Numerical measurement describing some characteristic of a sample.
Characteristic of a distribution
Sample Variance
Independent events
27. Uses numerical and or visual techniques to summarize or describe the data in a clear effective manner
Descriptive Statistics
Representative Sample
Skewed Distribution
Range
28. The pattern of variation of data. The distribution may be described as symmetrical - positively skewed - or negatively skewed
Distribution
Parameter
s2
Systematic sampling
29. Is denoted by 'n' - is the number of data values in the sample
Sample Size
Nominal
The 2 measures of relative standing
Dependent events
30. Mean - mode - median and midrange.
Sample
Frequency
Data
The 4 measures of center
31. Sample proportion
Symmetric Distribution
p value left tail
p
Sampling
32. Is a number that describes a characteristic of a sample
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33. Represents categories - and is nonnumerical in nature
Descriptive Statistics
p value left tail
Graph
Categorical Variable
34. A method in which you randomly choose one number from 'l' to 'k' and continue to select the kth element
Raw Data
Systematic sampling
H0
Census
35. Statistics
Range
s2
The 4 measures of center
Numerical measurement describing some characteristic of a sample.
36. Members of the population select themselves by volunteering
N
Data
Self-selected sample
Independent events
37. Is a number that describes a characteristic of a population
Census
Parameter
Statistic (note there is no 's' at the end)
38. One extreme value can affect it dramatically.
The effect of extreme values on the measures of center
Categorical Variable
p value right tail
39. Population size
The 4 measures of center
N
Exploratory data analysis
s2
40. Capital sigma; summation
The effect of extreme values on the measures of center
S
n
Random Sample or Probability Sample
41. Null hypothesis
Sample Size
What symbol must always be found in H0
Bias
H0
42. Is a collection of several data pertaining to one or more variables
Independent events
Data Set
s
H0
43. A method of data collection where the researcher selects a sample from the population and measures the variable of interest
Survey
Parameter
Data Set
Disjoint event
44. Collection of information from a sample
n
Statistic (note there is no 's' at the end)
Survey
Ordinal
45. Parameter
Numerical measurement describing some characteristics of a population.
p value left tail
Dot plots
Population
46. Using graphs and numerical summaries to describe variables in a data set and their relationship
Characteristic of a distribution
Numerical measurement describing some characteristic of a sample.
Exploratory data analysis
Dependent events
47. A method of data collection in which the objects of study are observed in their natural settings and the variables are recorded
Observational study
Independent events
Dot plots
p value two tailed test
48. Type of bar graph that shows frequency distributions
p value right tail
Frequency histogram
The 4 measures of center
Representative Sample
49. 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
x
Outliers
Independent events
Random Sample or Probability Sample
50. 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
Sampling
Raw Data
Simple random sample
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