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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. 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
Statistic (note there is no 's' at the end)
Continuous Data
S
Outliers
2. Range - standard deviation and variance.
The 3 measures of variation
s2
Symmetric Distribution
s
3. Is denoted by 'n' - is the number of data values in the sample
Data
Sample Size
Census
N
4. Is the portion of the population that is selected for study
Skewed Distribution
Sample
Distribution
Outliers
5. Alternative hypothesis
H1
Designed experiment
n
Census
6. A descriptive tool used to visually describe the characteristics and relationships of collections of data quickly and attractively
Sampling
S
p value two tailed test
Graph
7. Is the entire collection of all individuals or objects of interest
S
The 4 measures of center
Relative frequency histogram
Population
8. Is a collection of several data pertaining to one or more variables
Data Set
S
Population Size
Representative Sample
9. Before they are arranged or analyzed - information or observations are called________.
Census
Sample Variance
Raw Data
Parameter
10. 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
The 2 measures of relative standing
Nominal
Sample Variance
q
11. For a left tailed test use normalcdf(-999 - ZTS)
P(A)
The 2 measures of relative standing
Numerical measurement describing some characteristic of a sample.
p value left tail
12. 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
Random Sample or Probability Sample
Ratio
Characteristic of a distribution
Sampling
13. Null hypothesis
Data
Pictograph
Percentile
H0
14. 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
p value left tail
Population Size
Nominal
Random Sample or Probability Sample
15. To calculate the percentile take the number of values less than x - divide by total number of values and times by 100.
Outliers
The 4 measures of center
P(A)
Percentile
16. Sample proportion
The 2 measures of relative standing
N
p
17. Complement of p
Population
Parameter
Data
q
18. The important aspects of the data are called?
Characteristic of a distribution
Strata sampling
Ordinal
N
19. Disjoint events cannot overlap. They are mutually exclusive if they cannot occur at the same time.
Convenience sampling
p value right tail
Disjoint event
n
20. Lowercase sigma; population standard deviaition
Sample Size
Designed experiment
s
Self-selected sample
21. Variable where the value is a number that results from a measurement process - also called numerical data
Symmetric Distribution
Sample
Numerical Variable
22. Occur when one of them affects the probability of the other.
Discrete Data
Census
Strata sampling
Dependent events
23. Is a number that describes a characteristic of a sample
24. Is a sample containing similar characteristics of the population
Center of Distribution
Interval
Representative Sample
Relative frequency histogram
25. Type of information - usually a property of characteristic of a person or thing that is measured or observed
Frequency histogram
Variable
Distribution
Statistics
26. Has the same shape and horizontal scale as a histogram - but the vertical scale is marked with relative frequencies instead of actual frequencies
Population
What symbol must always be found in H0
Exploratory data analysis
Relative frequency histogram
27. Uses numerical and or visual techniques to summarize or describe the data in a clear effective manner
Distribution
Numerical Variable
Bias
Descriptive Statistics
28. A flaw in the sampling procedure that makes it more likely that the sample will NOT be representative of population
Simple Random Sample
H0
Population Size
Bias
29. Collection of information from a sample
Range
Survey
Data
Convenience sampling
30. Collection of information from the whole population
Population
Stem and leaf plots
Census
p value left tail
31. Type II error is measured
H1
s2
Categorical Variable
32. _______________ 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
s2
Discrete Data
Distribution
S
33. A numerical quantity measuring some aspect of the population
Simple Random Sample
Strata sampling
Parameter
Survey
34. 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
s
S
Census
Ordinal
35. 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
n
Stem-and-Leaf display
36. 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
Survey
The effect of extreme values on the measures of center
Median
Ratio
37. Mean - mode - median and midrange.
Independent events
The 4 measures of center
Discrete Data
p value right tail
38. Sample size or number of trials
Dot plots
n
Skewed Distribution
Statistics
39. The number of times each data value occurs
Designed experiment
Disjoint event
Frequency
Population Size
40. Is denoted by 'N' - is the number of data values in the population
Interval
P(A)
Population Size
Sample Size
41. Sample variance
Stem and leaf plots
s2
Categorical Variable
Percentile
42. Represents categories - and is nonnumerical in nature
Survey
Categorical Variable
Symmetric Distribution
Census
43. A number that is used to describe a characteristic of a sample - such as a sample average - is called a __________.
Raw Data
Statistic
Continuous Data
Data
44. Parameter
Numerical measurement describing some characteristics of a population.
Census
Continuous Data
Outlier
45. Sum of the values
Representative Sample
Variable
S x
Median
46. To find the range subtract the lowest value by the highest value.
Statistic
What symbol must always be found in H0
Range
Characteristic of a distribution
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
The 2 measures of relative standing
p
Simple random sample
48. Square the standard deviation and to find the population variance square of the population standard deviation
Variable
Nominal
Raw Data
Sample Variance
49. The pattern of variation of data. The distribution may be described as symmetrical - positively skewed - or negatively skewed
Descriptive Statistics
s
Distribution
50. Occur when one does not affect the probability of the occurrence of the other.
Characteristic of a distribution
Independent events
Population
Statistic