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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. Population proportion
Population
p
Distribution
s2
2. Uses numerical and or visual techniques to summarize or describe the data in a clear effective manner
Descriptive Statistics
The effect of extreme values on the measures of center
Statistics
Interval
3. Can be used to get an initial graphical view of data
Census
Center of Distribution
Dot plots
Statistics
4. Members of the population select themselves by volunteering
Percentile
Sample
Self-selected sample
Ratio
5. Population variance
Range
Graph
s2
Sample Size
6. Parameter
Numerical measurement describing some characteristics of a population.
Symmetric Distribution
p value right tail
Designed experiment
7. Population size
N
Representative Sample
Categorical Variable
p
8. For a left tailed test use normalcdf(-999 - ZTS)
Statistics
p value left tail
Graph
Statistic
9. Is denoted by 'n' - is the number of data values in the sample
Sample Size
Bias
Data Set
Random Sample or Probability Sample
10. The variable value can be represented as isolated points on a number line
Representative Sample
S x
p
Discrete numerical data
11. Always use a equal symbol
Stem and leaf plots
Skewed Distribution
Frequency
What symbol must always be found in H0
12. An individual data value which lies far (above or below) from most or all of the other data values within a distribution
Outlier
Bias
Data
Numerical measurement describing some characteristics of a population.
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
What symbol must always be found in H0
Systematic sampling
Simple Random Sample
Inferential Statistics
14. One extreme value can affect it dramatically.
Parameter
p
The effect of extreme values on the measures of center
Disjoint event
15. Sample proportion
Statistic (note there is no 's' at the end)
Descriptive Statistics
Outlier
p
16. Before they are arranged or analyzed - information or observations are called________.
Observational study
Population
Raw Data
Numerical Variable
17. A descriptive tool used to visually describe the characteristics and relationships of collections of data quickly and attractively
Population
q
Graph
H0
18. 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
Alpha (a)
Population
p
Random Sample or Probability Sample
19. Type of information - usually a property of characteristic of a person or thing that is measured or observed
Descriptive Statistics
Variable
s
Simple random sample
20. 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).
Skewed Distribution
Census
Raw Data
Interval
21. Square the standard deviation and to find the population variance square of the population standard deviation
Frequency
Stem and leaf plots
q
Sample Variance
22. 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
Parameter
range
Simple random sample
Outliers
23. 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
s
p
Discrete Data
24. Is a sample containing similar characteristics of the population
Ratio
Representative Sample
Designed experiment
Sample
25. Disjoint events cannot overlap. They are mutually exclusive if they cannot occur at the same time.
The 2 measures of relative standing
Disjoint event
Range
Parameter
26. Using graphs and numerical summaries to describe variables in a data set and their relationship
Dot plots
Statistic
Survey
Exploratory data analysis
27. 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
Simple random sample
p
Alpha (a)
28. Alternative hypothesis
Self-selected sample
H1
Data Set
Census
29. Double the answer from step 1 or step 2 (on whichever side your test statistics falls).
p value two tailed test
Dependent events
Survey
30. Is the process of selecting a portion - or sample - of the entire population
p
s
Sampling
Sample Size
31. Is a sample that has the pertinent characteristics of the population in the same proportion - as they are included in that population
Survey
Representative Sample
q
range
32. The number of times each data value occurs
Frequency
Stem-and-Leaf display
Median
Discrete Data
33. Is denoted by 'N' - is the number of data values in the population
Statistic
Alpha (a)
Frequency
Population Size
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.
P(A)
Sample Variance
Median
Pictograph
35. 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
The 4 measures of center
Skewed Distribution
q
Median
36. _______________ are numerical measurements that can assume any value between two numbers
Continuous Data
Population
Characteristic of a distribution
Population
37. Collection of information from the whole population
Inferential Statistics
n
Distribution
Census
38. To find the range subtract the lowest value by the highest value.
The effect of extreme values on the measures of center
Pictograph
Numerical Variable
Range
39. A survey that includes every item or individual of the population
N
Representative Sample
Sample Size
Census
40. 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
Discrete Data
Simple random sample
Sample Size
Outlier
41. A method in which you randomly choose one number from 'l' to 'k' and continue to select the kth element
Systematic sampling
Sample Size
The 2 measures of relative standing
Sample
42. Population is organized into groups (i.e - neighborhoods/departments) - and sampling unit is selected by a simple random sample
Distribution
Independent events
Cluster sampling
Interval
43. (largest data value) - (smallest data value)
Variable
n
range
The 4 measures of center
44. The pattern of variation of data. The distribution may be described as symmetrical - positively skewed - or negatively skewed
Census
Median
Distribution
H1
45. 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
Distribution
Dependent events
Statistics
Median
46. Type of bar graph that shows frequency distributions
s
Ordinal
Frequency histogram
Statistic
47. Collection of information from a sample
Survey
Sample Size
s2
p value left tail
48. A method of data collection in which the objects of study are observed in their natural settings and the variables are recorded
Pictograph
Observational study
The 4 measures of center
Population
49. Sample standard deviation
Sample
Ordinal
s
Outliers
50. Sample variance
Population
s2
Statistics
Parameter