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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 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
Census
P(A)
p
Simple Random Sample
2. A method of data collection in which the objects of study are observed in their natural settings and the variables are recorded
S
Observational study
Statistics
3. Collection of information from a sample
Independent events
Survey
Observational study
4. 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
Sampling
Descriptive Statistics
S
Skewed Distribution
5. Using graphs and numerical summaries to describe variables in a data set and their relationship
Exploratory data analysis
Representative Sample
Descriptive Statistics
Sampling
6. Sum of the values
Alpha (a)
S x
Sample Size
H0
7. Is a collection of several data pertaining to one or more variables
Skewed Distribution
Percentile
Cluster sampling
Data Set
8. A collection of individuals about which we want to draw conclusions
Population
p value two tailed test
Symmetric Distribution
9. 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
Graph
Cluster sampling
Parameter
10. Is a number that describes a characteristic of a population
Parameter
What symbol must always be found in H0
Inferential Statistics
N
11. Null hypothesis
Pictograph
H0
Descriptive Statistics
Range
12. Population size
Sample Variance
N
Nominal
p value two tailed test
13. Represents categories - and is nonnumerical in nature
What symbol must always be found in H0
Simple random sample
Categorical Variable
Raw Data
14. A numerical quantity measuring some aspect of the population
Sample
Parameter
Interval
Frequency histogram
15. 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
Symmetric Distribution
Categorical Variable
Frequency histogram
Frequency
16. 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.
Designed experiment
Pictograph
p value left tail
Simple Random Sample
17. (largest data value) - (smallest data value)
Characteristic of a distribution
P(A)
range
Observational study
18. A method in which you randomly choose one number from 'l' to 'k' and continue to select the kth element
p value right tail
Observational study
Systematic sampling
19. The important aspects of the data are called?
Categorical Variable
Numerical measurement describing some characteristics of a population.
Distribution
Characteristic of a distribution
20. A number that is used to describe a characteristic of a sample - such as a sample average - is called a __________.
The 4 measures of center
Stem-and-Leaf display
Sample Variance
Statistic
21. Is denoted by 'N' - is the number of data values in the population
Representative Sample
Population Size
Stem-and-Leaf display
Data
22. Capital sigma; summation
Interval
Symmetric Distribution
H1
S
23. 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
Range
Descriptive Statistics
P(A)
24. A subset of the population- it's important to choose a sample at random to avoid bias in the results
Sample
Disjoint event
p value two tailed test
p
25. Parameter
Numerical measurement describing some characteristics of a population.
Observational study
s
Variable
26. A quantity calculated from data gathered from a sample- usually used to estimate a population parameter
p
Relative frequency histogram
Descriptive Statistics
Statistic
27. An efficient method of graphing information using actual amounts: clusters - gaps - outliers are clearly identified.
Systematic sampling
Convenience sampling
The effect of extreme values on the measures of center
Stem and leaf plots
28. Can be used to get an initial graphical view of data
p value left tail
Numerical Variable
q
Dot plots
29. Range - standard deviation and variance.
Sampling
s
The 3 measures of variation
Convenience sampling
30. Square the standard deviation and to find the population variance square of the population standard deviation
Parameter
Range
Sample Variance
Parameter
31. 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
Representative Sample
Interval
Numerical measurement describing some characteristic of a sample.
Simple random sample
32. Standard scores and percentile
The 2 measures of relative standing
q
Dot plots
Observational study
33. The variable value can be represented as isolated points on a number line
Ordinal
Discrete numerical data
Representative Sample
Sample Variance
34. _______________ 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
The effect of extreme values on the measures of center
Observational study
Designed experiment
Distribution
35. Alternative hypothesis
Stem and leaf plots
n
H1
Ordinal
36. 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
S x
Independent events
Outliers
Range
37. 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
Exploratory data analysis
Frequency
Ratio
Nominal
38. _______________ are numerical values that can assume only a limited number of values
Discrete Data
Stem and leaf plots
Median
Dependent events
39. Variable where the value is a number that results from a measurement process - also called numerical data
Numerical Variable
The 3 measures of variation
Nominal
40. One extreme value can affect it dramatically.
Statistic
Descriptive Statistics
The effect of extreme values on the measures of center
Population
41. Create a sample by using data from population members that are readily available
Convenience sampling
Statistic
Categorical Variable
P(A)
42. Is denoted by 'n' - is the number of data values in the sample
Sample Size
P(A)
Statistic
Population
43. The number of times each data value occurs
Frequency
S x
p
Population
44. Always use a equal symbol
Range
What symbol must always be found in H0
Cluster sampling
Population
45. Information about individuals in a population
Nominal
Observational study
Data
Data Set
46. Is the process of selecting a portion - or sample - of the entire population
Discrete numerical data
Sampling
Inferential Statistics
Statistic
47. A method of data collection where the researcher selects a sample from the population and measures the variable of interest
The 3 measures of variation
Statistic (note there is no 's' at the end)
Survey
Center of Distribution
48. Sample variance
Graph
s2
Skewed Distribution
Convenience sampling
49. Probability of event A
Dot plots
x
Ratio
P(A)
50. _______________ are numerical measurements that can assume any value between two numbers
Continuous Data
Disjoint event
Population
Sample