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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
Survey
Sample
Center of Distribution
S
2. A number that is used to describe a characteristic of a sample - such as a sample average - is called a __________.
The 2 measures of relative standing
Survey
Alpha (a)
Statistic
3. 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
Relative frequency histogram
Ratio
Simple Random Sample
Variable
4. The number of times each data value occurs
Frequency
Outlier
Observational study
Bias
5. Is the entire collection of all individuals or objects of interest
Graph
Data Set
Population
6. A descriptive tool used to visually describe the characteristics and relationships of collections of data quickly and attractively
Cluster sampling
Dot plots
Graph
Percentile
7. Sample size or number of trials
Sample Size
Median
The effect of extreme values on the measures of center
n
8. Type of bar graph that shows frequency distributions
Convenience sampling
Exploratory data analysis
Pictograph
Frequency histogram
9. Alternative hypothesis
s
Stem-and-Leaf display
H1
H0
10. 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.
Numerical Variable
Pictograph
Percentile
Bias
11. Is the process of selecting a portion - or sample - of the entire population
Variable
Sampling
Skewed Distribution
Outliers
12. 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
Observational study
Ordinal
p value two tailed test
Dependent events
13. _______________ are numerical values that can assume only a limited number of values
Ordinal
Sample Variance
Discrete Data
Frequency
14. Statistics
Raw Data
s
Numerical measurement describing some characteristic of a sample.
x
15. Using graphs and numerical summaries to describe variables in a data set and their relationship
P(A)
Exploratory data analysis
Skewed Distribution
Pictograph
16. Double the answer from step 1 or step 2 (on whichever side your test statistics falls).
Statistics
s
p value two tailed test
Observational study
17. A method of data collection in which the objects of study are observed in their natural settings and the variables are recorded
Alpha (a)
Observational study
Median
Pictograph
18. A flaw in the sampling procedure that makes it more likely that the sample will NOT be representative of population
What symbol must always be found in H0
Observational study
Survey
Bias
19. The pattern of variation of data. The distribution may be described as symmetrical - positively skewed - or negatively skewed
Distribution
s
Graph
Data Set
20. 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
Variable
Census
Statistics
Simple random sample
21. An efficient method of graphing information using actual amounts: clusters - gaps - outliers are clearly identified.
Stem and leaf plots
Data
p value left tail
Simple Random Sample
22. Disjoint events cannot overlap. They are mutually exclusive if they cannot occur at the same time.
Numerical measurement describing some characteristics of a population.
Disjoint event
Random Sample or Probability Sample
Census
23. Is a sample containing similar characteristics of the population
Representative Sample
Numerical measurement describing some characteristic of a sample.
Population Size
Median
24. A subset of the population- it's important to choose a sample at random to avoid bias in the results
Sample Variance
Sample
S x
s2
25. A visual exploratory data analysis technique that shows the shape of a distribution - this kind of display uses the actual values of the variable to present the shape of the distribution of data values
Stem-and-Leaf display
p value left tail
Simple random sample
Dependent events
26. Population proportion
Dot plots
Alpha (a)
p
Random Sample or Probability Sample
27. Create a sample by using data from population members that are readily available
p value left tail
Percentile
Census
Convenience sampling
28. _______________ 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
Categorical Variable
Representative Sample
Dependent events
Distribution
29. Sample standard deviation
Disjoint event
x
Cluster sampling
s
30. Range - standard deviation and variance.
Sample
Sample Size
S x
The 3 measures of variation
31. Variable where the value is a number that results from a measurement process - also called numerical data
Numerical measurement describing some characteristic of a sample.
Convenience sampling
Random Sample or Probability Sample
Numerical Variable
32. Square the standard deviation and to find the population variance square of the population standard deviation
Dot plots
Sample Variance
Cluster sampling
Sample Size
33. 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
range
Symmetric Distribution
Census
Random Sample or Probability Sample
34. A method in which you randomly choose one number from 'l' to 'k' and continue to select the kth element
Outlier
Systematic sampling
Stem and leaf plots
s
35. Can be used to get an initial graphical view of data
s2
H0
p value two tailed test
Dot plots
36. Information about individuals in a population
Data
Categorical Variable
Stem-and-Leaf display
Frequency
37. The important aspects of the data are called?
Characteristic of a distribution
Statistic
Exploratory data analysis
Sample
38. To find the range subtract the lowest value by the highest value.
Sampling
Range
S
s
39. One extreme value can affect it dramatically.
Disjoint event
The effect of extreme values on the measures of center
N
Survey
40. 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
Parameter
Simple Random Sample
Bias
Percentile
41. For a left tailed test use normalcdf(-999 - ZTS)
Population
Graph
p value left tail
Stem and leaf plots
42. Is a sample that has the pertinent characteristics of the population in the same proportion - as they are included in that population
Characteristic of a distribution
Representative Sample
Disjoint event
The 3 measures of variation
43. Collection of information from a sample
Outlier
Survey
The effect of extreme values on the measures of center
Sample
44. To calculate the percentile take the number of values less than x - divide by total number of values and times by 100.
Exploratory data analysis
The 4 measures of center
Raw Data
Percentile
45. Before they are arranged or analyzed - information or observations are called________.
Discrete numerical data
Raw Data
Descriptive Statistics
46. Test use normalcdf(ZTS -999)
Statistic
S
p value right tail
Data
47. Complement of p
Census
Convenience sampling
q
Representative Sample
48. 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
Outliers
Numerical measurement describing some characteristic of a sample.
Parameter
Simple random sample
49. Is denoted by 'n' - is the number of data values in the sample
Sample Size
Population
Independent events
q
50. Probability of event A
Outliers
Parameter
P(A)
Survey