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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. 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
p value two tailed test
Numerical measurement describing some characteristic of a sample.
s2
Median
2. Population is organized into groups (i.e - neighborhoods/departments) - and sampling unit is selected by a simple random sample
p value two tailed test
Distribution
The 4 measures of center
Cluster sampling
3. Collection of information from a sample
Survey
The 3 measures of variation
Symmetric Distribution
Statistic
4. Is a number that describes a characteristic of a sample
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5. Collection of information from the whole population
Census
Discrete Data
Survey
Population Size
6. Square the standard deviation and to find the population variance square of the population standard deviation
Median
Sample Variance
Data Set
Symmetric Distribution
7. Always use a equal symbol
Continuous Data
What symbol must always be found in H0
Simple random sample
Sample
8. Sample size or number of trials
range
Distribution
H1
n
9. Is a collection of several data pertaining to one or more variables
Relative frequency histogram
p
Data Set
Statistics
10. Can be used to get an initial graphical view of data
Outlier
Dot plots
Exploratory data analysis
s
11. Is the portion of the population that is selected for study
Sample
Ratio
Statistic
Numerical measurement describing some characteristics of a population.
12. Is denoted by 'N' - is the number of data values in the population
The 4 measures of center
Population Size
Percentile
S x
13. A method of data collection in which the objects of study are observed in their natural settings and the variables are recorded
Survey
Statistic
s
Observational study
14. Sample mean
x
Center of Distribution
H0
Data
15. A numerical quantity measuring some aspect of the population
Sample Variance
H1
Parameter
What symbol must always be found in H0
16. Alternative hypothesis
H1
Disjoint event
Statistic
Observational study
17. Mu; population mean
n
p value right tail
Survey
18. 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
Frequency histogram
Outliers
Variable
q
19. Is a sample containing similar characteristics of the population
x
Cluster sampling
Graph
Representative Sample
20. Type of information - usually a property of characteristic of a person or thing that is measured or observed
Representative Sample
H1
s2
Variable
21. To divide the population into 2 or more non-overlapping subsets called strata
Strata sampling
What symbol must always be found in H0
Percentile
Systematic sampling
22. The pattern of variation of data. The distribution may be described as symmetrical - positively skewed - or negatively skewed
Characteristic of a distribution
Statistic (note there is no 's' at the end)
Distribution
23. A collection of individuals about which we want to draw conclusions
Discrete Data
Relative frequency histogram
Population
Sample Variance
24. Uses numerical and or visual techniques to summarize or describe the data in a clear effective manner
Descriptive Statistics
Sample Variance
Designed experiment
Statistic
25. A descriptive tool used to visually describe the characteristics and relationships of collections of data quickly and attractively
The 4 measures of center
Graph
Observational study
P(A)
26. Mean - mode - median and midrange.
Raw Data
The 4 measures of center
p value two tailed test
p
27. Range - standard deviation and variance.
Parameter
The 3 measures of variation
n
Percentile
28. 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
n
The 2 measures of relative standing
Discrete numerical data
29. Test use normalcdf(ZTS -999)
Percentile
p value right tail
The 2 measures of relative standing
Population Size
30. Lowercase sigma; population standard deviaition
s
The 3 measures of variation
Characteristic of a distribution
H0
31. 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
Simple Random Sample
s
Statistic
H1
32. _______________ are numerical values that can assume only a limited number of values
Discrete numerical data
Sample
Discrete Data
p
33. To calculate the percentile take the number of values less than x - divide by total number of values and times by 100.
Observational study
Frequency
Percentile
The 4 measures of center
34. A quantity calculated from data gathered from a sample- usually used to estimate a population parameter
Independent events
Exploratory data analysis
Distribution
Statistic
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
Systematic sampling
Categorical Variable
Designed experiment
Numerical Variable
36. For a left tailed test use normalcdf(-999 - ZTS)
s2
Parameter
p value left tail
Survey
37. _______________ are numerical measurements that can assume any value between two numbers
Exploratory data analysis
p
What symbol must always be found in H0
Continuous Data
38. Complement of p
Percentile
q
s
Strata sampling
39. One extreme value can affect it dramatically.
Statistics
S x
The effect of extreme values on the measures of center
40. Create a sample by using data from population members that are readily available
H0
Convenience sampling
Categorical Variable
Census
41. Sample proportion
p
Dependent events
Nominal
Raw Data
42. Before they are arranged or analyzed - information or observations are called________.
Raw Data
Symmetric Distribution
S x
Statistic
43. Is the process of selecting a portion - or sample - of the entire population
Convenience sampling
Frequency histogram
Sampling
s
44. A subset of the population- it's important to choose a sample at random to avoid bias in the results
p
n
The 2 measures of relative standing
Sample
45. 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.
Distribution
Outlier
Pictograph
Categorical Variable
46. The important aspects of the data are called?
Characteristic of a distribution
Pictograph
Distribution
Continuous Data
47. 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
Exploratory data analysis
Sample Size
p
48. The variable value can be represented as isolated points on a number line
Simple random sample
Discrete numerical data
Symmetric Distribution
Convenience sampling
49. Population variance
H1
s2
Representative Sample
Percentile
50. Is a number that describes a characteristic of a population
Ratio
Parameter
Skewed Distribution
Observational study