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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. To divide the population into 2 or more non-overlapping subsets called strata
p
Strata sampling
Stem and leaf plots
Discrete Data
2. Mean - mode - median and midrange.
Discrete numerical data
Nominal
The 4 measures of center
Survey
3. A method of data collection in which the objects of study are observed in their natural settings and the variables are recorded
Stem and leaf plots
Cluster sampling
Observational study
4. Lowercase sigma; population standard deviaition
Cluster sampling
Bias
s
5. Sum of the values
Pictograph
S x
Representative Sample
p value left tail
6. An efficient method of graphing information using actual amounts: clusters - gaps - outliers are clearly identified.
Parameter
Stem and leaf plots
Inferential Statistics
The 4 measures of center
7. Is denoted by 'n' - is the number of data values in the sample
P(A)
Sample Size
Sample
p
8. Sample mean
x
Observational study
s
Nominal
9. Sample variance
Independent events
s2
Designed experiment
10. To calculate the percentile take the number of values less than x - divide by total number of values and times by 100.
Percentile
s2
Representative Sample
Dot plots
11. A survey that includes every item or individual of the population
Census
Bias
p
Nominal
12. Is the entire collection of all individuals or objects of interest
Numerical measurement describing some characteristic of a sample.
Population
Pictograph
Sampling
13. Is the process of selecting a portion - or sample - of the entire population
N
Data Set
Sampling
Symmetric Distribution
14. Is denoted by 'N' - is the number of data values in the population
Representative Sample
s
Population Size
p value left tail
15. One extreme value can affect it dramatically.
Outlier
s
The effect of extreme values on the measures of center
Cluster sampling
16. Collection of information from a sample
Variable
Sample
Survey
Statistics
17. The number of times each data value occurs
Frequency
Outliers
Distribution
Statistic
18. A descriptive tool used to visually describe the characteristics and relationships of collections of data quickly and attractively
Bias
Cluster sampling
Designed experiment
Graph
19. 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
Self-selected sample
Simple Random Sample
Parameter
Stem-and-Leaf display
20. A numerical quantity measuring some aspect of the population
Parameter
Cluster sampling
Survey
Nominal
21. A collection of individuals about which we want to draw conclusions
Self-selected sample
Sampling
Population
Independent events
22. 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
Frequency histogram
Descriptive Statistics
Simple Random Sample
23. Determine the location of the middle value of all the data values
Bias
Center of Distribution
n
Representative Sample
24. Sample proportion
Raw Data
Observational study
p
Discrete Data
25. Variable where the value is a number that results from a measurement process - also called numerical data
Simple Random Sample
Distribution
Numerical Variable
What symbol must always be found in H0
26. Type II error is measured
Sampling
Census
Observational study
27. Statistics
Numerical measurement describing some characteristic of a sample.
Raw Data
p
Simple Random Sample
28. 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.
s2
The effect of extreme values on the measures of center
Pictograph
Data
29. Type of bar graph that shows frequency distributions
Frequency histogram
Population
The 4 measures of center
30. Can be used to get an initial graphical view of data
Median
Parameter
Dot plots
Discrete Data
31. Is a sample that has the pertinent characteristics of the population in the same proportion - as they are included in that population
Systematic sampling
S x
Representative Sample
H0
32. The variable value can be represented as isolated points on a number line
Center of Distribution
The 4 measures of center
Discrete numerical data
Simple random sample
33. Sample standard deviation
n
Parameter
Parameter
s
34. 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
Stem and leaf plots
Nominal
q
Sample
35. Uses numerical and or visual techniques to summarize or describe the data in a clear effective manner
Graph
H0
Descriptive Statistics
Parameter
36. Is a collection of several data pertaining to one or more variables
The effect of extreme values on the measures of center
range
Sampling
Data Set
37. 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
Outlier
Random Sample or Probability Sample
Exploratory data analysis
n
38. Parameter
S
Numerical measurement describing some characteristics of a population.
Stem-and-Leaf display
Simple Random Sample
39. A method in which you randomly choose one number from 'l' to 'k' and continue to select the kth element
Systematic sampling
Pictograph
Raw Data
s2
40. _______________ are numerical values that can assume only a limited number of values
Discrete Data
The 3 measures of variation
Data
Outliers
41. Null hypothesis
q
Stem and leaf plots
Simple Random Sample
H0
42. To find the range subtract the lowest value by the highest value.
Interval
Categorical Variable
Range
Simple random sample
43. Population variance
s2
Data
Ratio
Numerical Variable
44. 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
Center of Distribution
Simple random sample
Convenience sampling
Inferential Statistics
45. Has the same shape and horizontal scale as a histogram - but the vertical scale is marked with relative frequencies instead of actual frequencies
Independent events
Relative frequency histogram
Stem-and-Leaf display
Stem and leaf plots
46. Test use normalcdf(ZTS -999)
Median
Data Set
p value right tail
The 2 measures of relative standing
47. _______________ 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
Population Size
Strata sampling
Population
Distribution
48. Occur when one does not affect the probability of the occurrence of the other.
p value left tail
Population
Independent events
Sample
49. Using graphs and numerical summaries to describe variables in a data set and their relationship
Exploratory data analysis
Survey
Statistics
Outlier
50. Sample size or number of trials
Ratio
Continuous Data
Survey
n