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Test your basic knowledge |
DSST Intro To Statistics
Start Test
Study First
Subjects
:
dsst
,
statistics
Instructions:
Answer 50 questions in 15 minutes.
If you are not ready to take this test, you can
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. A survey that includes every item or individual of the population
Census
Numerical measurement describing some characteristic of a sample.
s2
Percentile
2. Collection of information from a sample
Survey
Population Size
Outliers
H0
3. A method of experimentation in which you can control as many variables as possible in order to isolate the effects of a response variable
Statistic
The 2 measures of relative standing
Designed experiment
p
4. Population proportion
Random Sample or Probability Sample
Raw Data
p
Statistic (note there is no 's' at the end)
5. Using graphs and numerical summaries to describe variables in a data set and their relationship
Exploratory data analysis
s2
Outlier
Representative Sample
6. A numerical quantity measuring some aspect of the population
n
Systematic sampling
Parameter
Stem and leaf plots
7. Range - standard deviation and variance.
The 4 measures of center
Observational study
The 3 measures of variation
Stem and leaf plots
8. Before they are arranged or analyzed - information or observations are called________.
Survey
s
range
Raw Data
9. A number that is used to describe a characteristic of a sample - such as a sample average - is called a __________.
Statistic
The 4 measures of center
Independent events
p value right tail
10. Probability of event A
Strata sampling
P(A)
s
11. 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.
The 4 measures of center
Pictograph
Nominal
Skewed Distribution
12. _______________ 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
Distribution
The 2 measures of relative standing
H1
Simple Random Sample
13. When the distribution of the data values greater than the center of the display - and the data values less than the center of the display are mirror images of each other
n
Symmetric Distribution
range
Numerical measurement describing some characteristic of a sample.
14. Occur when one does not affect the probability of the occurrence of the other.
p value two tailed test
The 3 measures of variation
Distribution
Independent events
15. The important aspects of the data are called?
Characteristic of a distribution
Nominal
Statistic
Representative Sample
16. The pattern of variation of data. The distribution may be described as symmetrical - positively skewed - or negatively skewed
Distribution
Statistic (note there is no 's' at the end)
Symmetric Distribution
Raw Data
17. A descriptive tool used to visually describe the characteristics and relationships of collections of data quickly and attractively
Median
Numerical measurement describing some characteristics of a population.
Dependent events
Graph
18. Statistics
Bias
Numerical measurement describing some characteristic of a sample.
s2
Numerical Variable
19. Is the process of selecting a portion - or sample - of the entire population
Sample Variance
Sampling
Numerical measurement describing some characteristic of a sample.
The 3 measures of variation
20. Type of information - usually a property of characteristic of a person or thing that is measured or observed
p value left tail
Data Set
Variable
Numerical measurement describing some characteristic of a sample.
21. Population size
Variable
Population
Self-selected sample
N
22. Sample size or number of trials
s2
Outliers
p
n
23. For a left tailed test use normalcdf(-999 - ZTS)
Numerical measurement describing some characteristics of a population.
p value left tail
Self-selected sample
Bias
24. Is a sample that has the pertinent characteristics of the population in the same proportion - as they are included in that population
Representative Sample
Population Size
Population
Sampling
25. _______________ are numerical values that can assume only a limited number of values
H0
Inferential Statistics
Pictograph
Discrete Data
26. 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
The 2 measures of relative standing
p
Median
Census
27. An efficient method of graphing information using actual amounts: clusters - gaps - outliers are clearly identified.
The effect of extreme values on the measures of center
Graph
Ratio
Stem and leaf plots
28. 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
Statistics
Descriptive Statistics
Population
Outliers
29. Disjoint events cannot overlap. They are mutually exclusive if they cannot occur at the same time.
Relative frequency histogram
Disjoint event
Median
Percentile
30. Is a number that describes a characteristic of a population
Ratio
Independent events
Parameter
31. 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
Census
Stem-and-Leaf display
Percentile
Distribution
32. The variable value can be represented as isolated points on a number line
p
Distribution
s
Discrete numerical data
33. Create a sample by using data from population members that are readily available
Outlier
x
Nominal
Convenience sampling
34. Is denoted by 'n' - is the number of data values in the sample
Sample Size
Survey
Dependent events
Self-selected sample
35. Represents categories - and is nonnumerical in nature
Dot plots
p value left tail
Strata sampling
Categorical Variable
36. A method in which you randomly choose one number from 'l' to 'k' and continue to select the kth element
The effect of extreme values on the measures of center
H0
Systematic sampling
Stem-and-Leaf display
37. Square the standard deviation and to find the population variance square of the population standard deviation
Sample Variance
Descriptive Statistics
Population
Sample
38. 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
Sample Variance
Random Sample or Probability Sample
Dependent events
Nominal
39. One extreme value can affect it dramatically.
The 3 measures of variation
Representative Sample
N
The effect of extreme values on the measures of center
40. A quantity calculated from data gathered from a sample- usually used to estimate a population parameter
Census
Systematic sampling
Data
Statistic
41. 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).
Census
H0
Graph
Interval
42. Sample mean
s
Frequency histogram
Parameter
x
43. Collection of information from the whole population
Census
q
Parameter
Independent events
44. A subset of the population- it's important to choose a sample at random to avoid bias in the results
Continuous Data
Sample Variance
Observational study
Sample
45. Is the portion of the population that is selected for study
Outlier
S x
Statistic (note there is no 's' at the end)
Sample
46. 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
H1
P(A)
Raw Data
Outliers
47. 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
Ordinal
Discrete Data
48. To calculate the percentile take the number of values less than x - divide by total number of values and times by 100.
Distribution
Raw Data
Continuous Data
Percentile
49. Complement of p
Survey
n
q
Sample Variance
50. To find the range subtract the lowest value by the highest value.
Range
Exploratory data analysis
S
s