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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. 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
Sample
Percentile
Data
Ordinal
2. Sample variance
Dot plots
Census
Statistic
s2
3. Population proportion
Disjoint event
p
Systematic sampling
4. Sample standard deviation
Cluster sampling
q
Stem and leaf plots
s
5. Population size
Survey
N
p value right tail
Range
6. Using graphs and numerical summaries to describe variables in a data set and their relationship
Observational study
Exploratory data analysis
Population Size
Graph
7. Sample size or number of trials
Ratio
n
Continuous Data
Dependent events
8. _______________ are numerical values that can assume only a limited number of values
Discrete Data
Survey
Statistic (note there is no 's' at the end)
Skewed Distribution
9. Is a collection of several data pertaining to one or more variables
Numerical measurement describing some characteristic of a sample.
Statistics
Data Set
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.
Pictograph
Frequency
p value right tail
S x
11. An individual data value which lies far (above or below) from most or all of the other data values within a distribution
S
s
Observational study
Outlier
12. 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
Frequency
Statistic
Representative Sample
Symmetric Distribution
13. 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
Outlier
Simple Random Sample
Pictograph
Census
14. Parameter
s
Categorical Variable
Distribution
Numerical measurement describing some characteristics of a population.
15. Test use normalcdf(ZTS -999)
P(A)
Convenience sampling
Statistic (note there is no 's' at the end)
p value right tail
16. 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 display
Nominal
Sample Size
Representative Sample
17. _______________ 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
Symmetric Distribution
Range
Statistic
Distribution
18. Is the process of selecting a portion - or sample - of the entire population
Sampling
Sample Size
Center of Distribution
Data
19. Range - standard deviation and variance.
p value two tailed test
Descriptive Statistics
p value right tail
The 3 measures of variation
20. The important aspects of the data are called?
s2
Characteristic of a distribution
Simple Random Sample
p value right tail
21. Double the answer from step 1 or step 2 (on whichever side your test statistics falls).
Population Size
Census
The effect of extreme values on the measures of center
p value two tailed test
22. A method of data collection in which the objects of study are observed in their natural settings and the variables are recorded
Distribution
Observational study
Skewed Distribution
23. Capital sigma; summation
Systematic sampling
S
Data
p
24. One extreme value can affect it dramatically.
Random Sample or Probability Sample
Exploratory data analysis
The effect of extreme values on the measures of center
H0
25. Members of the population select themselves by volunteering
Statistic
Census
Self-selected sample
Representative Sample
26. Is denoted by 'N' - is the number of data values in the population
Stem and leaf plots
The 2 measures of relative standing
Population Size
Random Sample or Probability Sample
27. Probability of event A
Bias
Dot plots
Outlier
P(A)
28. Statistics
Stem and leaf plots
Numerical measurement describing some characteristic of a sample.
Data Set
Survey
29. Is the process of using SAMPLE INFORMATION to draw inferences or conclusions about the POPULATION
Census
Continuous Data
Inferential Statistics
Characteristic of a distribution
30. Population is organized into groups (i.e - neighborhoods/departments) - and sampling unit is selected by a simple random sample
p value left tail
Data
Parameter
Cluster sampling
31. Complement of p
Simple Random Sample
q
Raw Data
s
32. Is the portion of the population that is selected for study
Sample
s
Numerical Variable
The effect of extreme values on the measures of center
33. Information about individuals in a population
Exploratory data analysis
Data
s
s2
34. A method in which you randomly choose one number from 'l' to 'k' and continue to select the kth element
Systematic sampling
Discrete numerical data
Representative Sample
Sample
35. Collection of information from the whole population
Observational study
H0
Census
Numerical Variable
36. _______________ are numerical measurements that can assume any value between two numbers
S
Independent events
s2
Continuous Data
37. The level of significance and the probability of a type I error (rejecting a true null hypothesis). The area in the tail or tails of a distribution (z - t - or ?2); in hypothesis testing you don't always have a two tailed distribution as in confidenc
H0
Alpha (a)
Population Size
Descriptive Statistics
38. 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
Stem and leaf plots
Random Sample or Probability Sample
The 3 measures of variation
Representative Sample
39. Uses numerical and or visual techniques to summarize or describe the data in a clear effective manner
Outliers
Descriptive Statistics
P(A)
Numerical measurement describing some characteristics of a population.
40. The pattern of variation of data. The distribution may be described as symmetrical - positively skewed - or negatively skewed
Data
Self-selected sample
Ordinal
Distribution
41. A number that is used to describe a characteristic of a sample - such as a sample average - is called a __________.
Statistic
range
x
Convenience sampling
42. Has the same shape and horizontal scale as a histogram - but the vertical scale is marked with relative frequencies instead of actual frequencies
Representative Sample
Relative frequency histogram
Bias
Population
43. Type of information - usually a property of characteristic of a person or thing that is measured or observed
Cluster sampling
Designed experiment
Stem-and-Leaf display
Variable
44. 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
Ordinal
Stem-and-Leaf display
Systematic sampling
s2
45. A descriptive tool used to visually describe the characteristics and relationships of collections of data quickly and attractively
Ordinal
Frequency
Representative Sample
Graph
46. A survey that includes every item or individual of the population
Statistic (note there is no 's' at the end)
Census
Independent events
Strata sampling
47. Always use a equal symbol
Simple Random Sample
What symbol must always be found in H0
Dependent events
Census
48. 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).
Interval
Simple random sample
Numerical measurement describing some characteristic of a sample.
q
49. 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
Data
H0
Ratio
Simple random sample
50. A quantity calculated from data gathered from a sample- usually used to estimate a population parameter
x
Statistic
N
Dependent events