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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. Is a sample containing similar characteristics of the population
Representative Sample
Sample
Alpha (a)
H0
2. A flaw in the sampling procedure that makes it more likely that the sample will NOT be representative of population
Sample
Numerical measurement describing some characteristic of a sample.
Bias
Survey
3. 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
Skewed Distribution
Pictograph
Statistic
Strata sampling
4. Information about individuals in a population
Data
Statistic
Convenience sampling
P(A)
5. 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
p
Representative Sample
Symmetric Distribution
Stem-and-Leaf display
6. A quantity calculated from data gathered from a sample- usually used to estimate a population parameter
Statistic
Distribution
Data
Census
7. One extreme value can affect it dramatically.
s2
Categorical Variable
S
The effect of extreme values on the measures of center
8. Population variance
p
Categorical Variable
s2
Population Size
9. (largest data value) - (smallest data value)
Stem-and-Leaf display
range
Convenience sampling
Observational study
10. Can be used to get an initial graphical view of data
Sample Variance
Dot plots
Discrete numerical data
Statistic (note there is no 's' at the end)
11. For a left tailed test use normalcdf(-999 - ZTS)
p value left tail
Census
range
Center of Distribution
12. 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.
p value right tail
Pictograph
S
13. Standard scores and percentile
Statistics
Stem-and-Leaf display
Relative frequency histogram
The 2 measures of relative standing
14. Always use a equal symbol
Alpha (a)
s
What symbol must always be found in H0
15. Is a number that describes a characteristic of a population
Numerical measurement describing some characteristic of a sample.
Parameter
Frequency
Convenience sampling
16. 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
p value right tail
The 4 measures of center
Characteristic of a distribution
Simple random sample
17. Is a collection of several data pertaining to one or more variables
Data Set
Bias
Sample Size
s
18. Collection of information from a sample
H1
Survey
Stem and leaf plots
Continuous Data
19. 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
The effect of extreme values on the measures of center
x
Alpha (a)
Data Set
20. To find the range subtract the lowest value by the highest value.
Stem-and-Leaf display
Range
Distribution
Stem and leaf plots
21. Range - standard deviation and variance.
Descriptive Statistics
The 3 measures of variation
p
Convenience sampling
22. Occur when one of them affects the probability of the other.
Numerical measurement describing some characteristics of a population.
Observational study
Cluster sampling
Dependent events
23. Statistics
Numerical measurement describing some characteristic of a sample.
Dot plots
Continuous Data
What symbol must always be found in H0
24. The variable value can be represented as isolated points on a number line
Dot plots
Discrete numerical data
Frequency histogram
range
25. Capital sigma; summation
Median
S
Systematic sampling
The 2 measures of relative standing
26. To divide the population into 2 or more non-overlapping subsets called strata
Designed experiment
Skewed Distribution
Strata sampling
Categorical Variable
27. The important aspects of the data are called?
Relative frequency histogram
p value two tailed test
Convenience sampling
Characteristic of a distribution
28. A survey that includes every item or individual of the population
Ordinal
Discrete numerical data
Frequency
Census
29. Is the entire collection of all individuals or objects of interest
Raw Data
Population
What symbol must always be found in H0
Census
30. Complement of p
Disjoint event
Census
P(A)
q
31. Sample proportion
What symbol must always be found in H0
Simple random sample
p
Numerical measurement describing some characteristic of a sample.
32. Type of information - usually a property of characteristic of a person or thing that is measured or observed
Population Size
Data Set
Stem and leaf plots
Variable
33. 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
Inferential Statistics
N
Outliers
Median
34. Type II error is measured
Continuous Data
Ratio
Range
35. Probability of event A
Range
Independent events
P(A)
Center of Distribution
36. Is denoted by 'n' - is the number of data values in the sample
p value right tail
What symbol must always be found in H0
Sample Size
Cluster sampling
37. Is the process of selecting a portion - or sample - of the entire population
Simple Random Sample
s
Dependent events
Sampling
38. Uses numerical and or visual techniques to summarize or describe the data in a clear effective manner
Designed experiment
Descriptive Statistics
Statistic
Representative Sample
39. Parameter
Numerical measurement describing some characteristics of a population.
Convenience sampling
Simple Random Sample
Interval
40. Square the standard deviation and to find the population variance square of the population standard deviation
Distribution
Sample Variance
Range
Population
41. _______________ are numerical measurements that can assume any value between two numbers
Sample Size
Sample Variance
Representative Sample
Continuous Data
42. Is a sample that has the pertinent characteristics of the population in the same proportion - as they are included in that population
Discrete Data
Median
Representative Sample
H0
43. To calculate the percentile take the number of values less than x - divide by total number of values and times by 100.
Percentile
Systematic sampling
Cluster sampling
s
44. _______________ 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
Representative Sample
Outlier
45. Sample size or number of trials
Data
Census
Disjoint event
n
46. Sample variance
Dot plots
Outlier
Center of Distribution
s2
47. Population proportion
Statistics
p
Sample Variance
Statistic
48. A method of experimentation in which you can control as many variables as possible in order to isolate the effects of a response variable
Range
Designed experiment
Center of Distribution
The effect of extreme values on the measures of center
49. Alternative hypothesis
Survey
Statistic
H1
Distribution
50. A number that is used to describe a characteristic of a sample - such as a sample average - is called a __________.
Representative Sample
p value left tail
Ordinal
Statistic