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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. Capital sigma; summation
Outliers
S
Stem and leaf plots
Sample
2. Collection of information from a sample
Strata sampling
Parameter
Outliers
Survey
3. To find the range subtract the lowest value by the highest value.
Survey
Cluster sampling
Range
p value right tail
4. 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
Exploratory data analysis
Sample Variance
Symmetric Distribution
p value left tail
5. A number that is used to describe a characteristic of a sample - such as a sample average - is called a __________.
What symbol must always be found in H0
Data
Statistic
Raw Data
6. 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
Outliers
Random Sample or Probability Sample
Survey
Data Set
7. Occur when one of them affects the probability of the other.
Statistic
Population
Dependent events
Strata sampling
8. Variable where the value is a number that results from a measurement process - also called numerical data
Characteristic of a distribution
The 2 measures of relative standing
Numerical Variable
Survey
9. Double the answer from step 1 or step 2 (on whichever side your test statistics falls).
Symmetric Distribution
Parameter
Skewed Distribution
p value two tailed test
10. Sum of the values
Statistic (note there is no 's' at the end)
S x
Categorical Variable
Survey
11. The pattern of variation of data. The distribution may be described as symmetrical - positively skewed - or negatively skewed
Distribution
Disjoint event
Convenience sampling
Sample
12. Is a collection of several data pertaining to one or more variables
Data Set
Data
Sampling
Sample Variance
13. A method in which you randomly choose one number from 'l' to 'k' and continue to select the kth element
range
Systematic sampling
Percentile
Center of Distribution
14. To calculate the percentile take the number of values less than x - divide by total number of values and times by 100.
Population
Distribution
Percentile
Symmetric Distribution
15. Is the process of using SAMPLE INFORMATION to draw inferences or conclusions about the POPULATION
Sample Variance
Frequency histogram
Inferential Statistics
Sample Size
16. Always use a equal symbol
The 2 measures of relative standing
Population
Ordinal
What symbol must always be found in H0
17. A descriptive tool used to visually describe the characteristics and relationships of collections of data quickly and attractively
Sampling
Inferential Statistics
Graph
Data
18. Parameter
Strata sampling
The effect of extreme values on the measures of center
Numerical measurement describing some characteristics of a population.
p value left tail
19. Type of information - usually a property of characteristic of a person or thing that is measured or observed
Nominal
Symmetric Distribution
S x
Variable
20. Square the standard deviation and to find the population variance square of the population standard deviation
Sample
The effect of extreme values on the measures of center
Sample Variance
P(A)
21. Is a number that describes a characteristic of a sample
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22. Sample mean
range
n
Sample Variance
x
23. For a left tailed test use normalcdf(-999 - ZTS)
p value left tail
Simple random sample
Relative frequency histogram
P(A)
24. _______________ are numerical values that can assume only a limited number of values
Graph
Discrete Data
The 2 measures of relative standing
Frequency
25. Information about individuals in a population
Sample
Survey
Data
Numerical measurement describing some characteristic of a sample.
26. The number of times each data value occurs
Census
The 3 measures of variation
Independent events
Frequency
27. 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
Stem-and-Leaf display
p value two tailed test
Simple random sample
Ordinal
28. The important aspects of the data are called?
Statistic
Characteristic of a distribution
Simple random sample
Percentile
29. Occur when one does not affect the probability of the occurrence of the other.
What symbol must always be found in H0
s2
H0
Independent events
30. Lowercase sigma; population standard deviaition
Descriptive Statistics
Sample
s
Disjoint event
31. Is the portion of the population that is selected for study
n
Distribution
Sample Size
Sample
32. 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
Numerical Variable
Bias
S
Ratio
33. A collection of individuals about which we want to draw conclusions
Population
Systematic sampling
Dependent events
Random Sample or Probability Sample
34. 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.
Simple random sample
Pictograph
q
Distribution
35. A method of data collection in which the objects of study are observed in their natural settings and the variables are recorded
Observational study
Simple random sample
Dependent events
Skewed Distribution
36. 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
Relative frequency histogram
x
s2
Nominal
37. Sample size or number of trials
Center of Distribution
Statistic
Data
n
38. Is denoted by 'n' - is the number of data values in the sample
Independent events
Sample Size
Pictograph
Outlier
39. _______________ 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
Statistic
Distribution
Simple random sample
Sample
40. Population is organized into groups (i.e - neighborhoods/departments) - and sampling unit is selected by a simple random sample
Cluster sampling
Discrete Data
Sample Variance
Ratio
41. 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
p value left tail
Frequency histogram
Frequency
Simple Random Sample
42. Complement of p
Data
Survey
q
Exploratory data analysis
43. Sample standard deviation
Alpha (a)
Simple Random Sample
Discrete numerical data
s
44. 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).
Distribution
Interval
The 4 measures of center
Sample
45. 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
Strata sampling
Ordinal
Simple random sample
46. Population proportion
Parameter
Ratio
Numerical measurement describing some characteristic of a sample.
p
47. Members of the population select themselves by volunteering
Numerical measurement describing some characteristics of a population.
Self-selected sample
p value two tailed test
Percentile
48. Type of bar graph that shows frequency distributions
Sample
Frequency histogram
q
Alpha (a)
49. Is a sample that has the pertinent characteristics of the population in the same proportion - as they are included in that population
S x
Representative Sample
p
The 3 measures of variation
50. A method of data collection where the researcher selects a sample from the population and measures the variable of interest
x
Survey
s