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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
Numerical measurement describing some characteristics of a population.
S
Outliers
Exploratory data analysis
2. 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
Variable
Alpha (a)
p value two tailed test
s
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
range
Inferential Statistics
Statistics
Ratio
4. 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
S x
Random Sample or Probability Sample
What symbol must always be found in H0
Cluster sampling
5. Members of the population select themselves by volunteering
Self-selected sample
Symmetric Distribution
Continuous Data
S x
6. The variable value can be represented as isolated points on a number line
Percentile
Discrete numerical data
The 3 measures of variation
7. Null hypothesis
Systematic sampling
H0
Stem and leaf plots
8. Is a collection of several data pertaining to one or more variables
Data Set
Distribution
The 3 measures of variation
Percentile
9. Population is organized into groups (i.e - neighborhoods/departments) - and sampling unit is selected by a simple random sample
Cluster sampling
Self-selected sample
Characteristic of a distribution
10. Can be used to get an initial graphical view of data
Population Size
Discrete Data
The 4 measures of center
Dot plots
11. To find the range subtract the lowest value by the highest value.
Range
Cluster sampling
s
Representative Sample
12. Variable where the value is a number that results from a measurement process - also called numerical data
s
Numerical Variable
Random Sample or Probability Sample
Center of Distribution
13. Type II error is measured
Range
p value two tailed test
Discrete numerical data
14. Determine the location of the middle value of all the data values
Variable
Center of Distribution
Statistic (note there is no 's' at the end)
s2
15. To calculate the percentile take the number of values less than x - divide by total number of values and times by 100.
s
H0
p
Percentile
16. _______________ are numerical values that can assume only a limited number of values
Sample
Discrete Data
Sample
Disjoint event
17. A number that is used to describe a characteristic of a sample - such as a sample average - is called a __________.
Statistic
Percentile
What symbol must always be found in H0
S x
18. _______________ 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
Distribution
Alpha (a)
Disjoint event
Descriptive Statistics
19. Probability of event A
Strata sampling
Observational study
What symbol must always be found in H0
P(A)
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).
Interval
Strata sampling
Statistic
Median
21. Statistics
Bias
Numerical measurement describing some characteristic of a sample.
n
Center of Distribution
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
Outliers
Statistic (note there is no 's' at the end)
Frequency
H1
23. Double the answer from step 1 or step 2 (on whichever side your test statistics falls).
p value two tailed test
Descriptive Statistics
Observational study
Simple random sample
24. Parameter
Numerical measurement describing some characteristics of a population.
Sampling
n
s2
25. Standard scores and percentile
Frequency histogram
Frequency
The 2 measures of relative standing
H1
26. Using graphs and numerical summaries to describe variables in a data set and their relationship
Exploratory data analysis
Statistic
Frequency
Numerical measurement describing some characteristic of a sample.
27. 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
Data Set
p
What symbol must always be found in H0
Nominal
28. A quantity calculated from data gathered from a sample- usually used to estimate a population parameter
Statistic
Numerical measurement describing some characteristics of a population.
p value right tail
Discrete numerical data
29. Is the process of selecting a portion - or sample - of the entire population
Interval
Sampling
Pictograph
Sample Variance
30. Sample proportion
Continuous Data
p
n
Frequency histogram
31. Is denoted by 'n' - is the number of data values in the sample
Sample Size
Symmetric Distribution
Representative Sample
Descriptive Statistics
32. 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
Ratio
Systematic sampling
Center of Distribution
Statistics
33. Is a sample containing similar characteristics of the population
Inferential Statistics
What symbol must always be found in H0
p value two tailed test
Representative Sample
34. Collection of information from a sample
Survey
Representative Sample
p value two tailed test
n
35. Range - standard deviation and variance.
The 3 measures of variation
Dot plots
Convenience sampling
Disjoint event
36. A subset of the population- it's important to choose a sample at random to avoid bias in the results
The 4 measures of center
Sample
s2
Descriptive Statistics
37. Uses numerical and or visual techniques to summarize or describe the data in a clear effective manner
Descriptive Statistics
Data
Sample
Survey
38. The number of times each data value occurs
Sample Variance
The 4 measures of center
Graph
Frequency
39. A flaw in the sampling procedure that makes it more likely that the sample will NOT be representative of population
Strata sampling
Bias
Survey
Ordinal
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
Simple random sample
Population
Distribution
Relative frequency histogram
41. Always use a equal symbol
What symbol must always be found in H0
Distribution
Numerical measurement describing some characteristic of a sample.
Dependent events
42. Occur when one does not affect the probability of the occurrence of the other.
Sample Size
Sample
P(A)
Independent events
43. Lowercase sigma; population standard deviaition
Sample Size
Distribution
s
44. Is denoted by 'N' - is the number of data values in the population
The 2 measures of relative standing
Distribution
Population Size
Random Sample or Probability Sample
45. A collection of individuals about which we want to draw conclusions
Discrete Data
Population
Outliers
Bias
46. When the distribution of the data values tend to be concentrated toward one end of the display or tail of the distribution - while the data values in the other tail are spread out through extreme values resulting in a longer tail
Variable
Skewed Distribution
x
47. A descriptive tool used to visually describe the characteristics and relationships of collections of data quickly and attractively
N
p value right tail
Strata sampling
Graph
48. An individual data value which lies far (above or below) from most or all of the other data values within a distribution
S x
Outlier
The 4 measures of center
Continuous Data
49. For a left tailed test use normalcdf(-999 - ZTS)
Strata sampling
Population Size
p value left tail
Median
50. A method of experimentation in which you can control as many variables as possible in order to isolate the effects of a response variable
Survey
Outlier
Designed experiment
Pictograph