SUBJECTS
|
BROWSE
|
CAREER CENTER
|
POPULAR
|
JOIN
|
LOGIN
Business Skills
|
Soft Skills
|
Basic Literacy
|
Certifications
About
|
Help
|
Privacy
|
Terms
|
Email
Search
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. Probability of event A
Raw Data
P(A)
s2
Range
2. Population is organized into groups (i.e - neighborhoods/departments) - and sampling unit is selected by a simple random sample
Cluster sampling
Census
Ordinal
Ratio
3. 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
Skewed Distribution
Relative frequency histogram
Continuous Data
Parameter
4. An efficient method of graphing information using actual amounts: clusters - gaps - outliers are clearly identified.
Representative Sample
Stem and leaf plots
The 2 measures of relative standing
range
5. Information about individuals in a population
Survey
Raw Data
Data
Observational study
6. Population variance
Stem-and-Leaf display
s
s2
Categorical Variable
7. Type of information - usually a property of characteristic of a person or thing that is measured or observed
Dot plots
P(A)
Discrete Data
Variable
8. Test use normalcdf(ZTS -999)
Survey
p value right tail
H0
9. 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
Survey
N
Simple random sample
Alpha (a)
10. Mu; population mean
Frequency
Stem and leaf plots
p value left tail
11. A method of experimentation in which you can control as many variables as possible in order to isolate the effects of a response variable
Outlier
Systematic sampling
Designed experiment
Population Size
12. Sample mean
The 3 measures of variation
x
P(A)
H0
13. Square the standard deviation and to find the population variance square of the population standard deviation
Parameter
Statistics
s2
Sample Variance
14. Members of the population select themselves by volunteering
Statistic (note there is no 's' at the end)
Graph
Self-selected sample
Variable
15. A quantity calculated from data gathered from a sample- usually used to estimate a population parameter
Dot plots
p value two tailed test
Population Size
Statistic
16. The number of times each data value occurs
Observational study
Stem-and-Leaf display
Frequency
Descriptive Statistics
17. Is denoted by 'N' - is the number of data values in the population
Population Size
s
Stem and leaf plots
Sampling
18. Complement of p
Simple Random Sample
q
Population Size
Survey
19. Sample standard deviation
Characteristic of a distribution
Graph
Statistics
s
20. A method in which you randomly choose one number from 'l' to 'k' and continue to select the kth element
N
Representative Sample
Variable
Systematic sampling
21. Collection of information from a sample
Dot plots
Sample Variance
Sample Size
Survey
22. 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
Statistic
Statistics
s
Ordinal
23. A survey that includes every item or individual of the population
Frequency histogram
Observational study
Census
Bias
24. A subset of the population- it's important to choose a sample at random to avoid bias in the results
Sample
Continuous Data
Sample Variance
p
25. Determine the location of the middle value of all the data values
Parameter
range
The effect of extreme values on the measures of center
Center of Distribution
26. Statistics
Bias
Population
Pictograph
Numerical measurement describing some characteristic of a sample.
27. Is the process of using SAMPLE INFORMATION to draw inferences or conclusions about the POPULATION
Inferential Statistics
Representative Sample
Median
Designed experiment
28. Alternative hypothesis
N
p
Statistic
H1
29. Type II error is measured
Data Set
The 3 measures of variation
p value left tail
30. A collection of individuals about which we want to draw conclusions
Skewed Distribution
Sample Size
The 4 measures of center
Population
31. _______________ 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
Descriptive Statistics
Ordinal
p
32. Population proportion
Outliers
The 4 measures of center
p
S
33. Sample size or number of trials
p
Sample Size
Outlier
n
34. Lowercase sigma; population standard deviaition
s
Random Sample or Probability Sample
Pictograph
35. 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
Population Size
Representative Sample
Survey
36. Range - standard deviation and variance.
The 4 measures of center
Variable
p
The 3 measures of variation
37. Variable where the value is a number that results from a measurement process - also called numerical data
Numerical Variable
p value right tail
Continuous Data
38. 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
Simple Random Sample
Dependent events
Dot plots
Numerical Variable
39. Is a number that describes a characteristic of a sample
40. 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
p value left tail
q
s2
Ratio
41. Is a sample that has the pertinent characteristics of the population in the same proportion - as they are included in that population
Representative Sample
p value right tail
Census
Numerical Variable
42. Sample variance
Nominal
Disjoint event
s2
Population Size
43. Population size
Strata sampling
Parameter
Stem and leaf plots
N
44. Represents categories - and is nonnumerical in nature
The 2 measures of relative standing
Center of Distribution
Discrete numerical data
Categorical Variable
45. Mean - mode - median and midrange.
Census
Parameter
The 4 measures of center
Skewed Distribution
46. 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
Sample
p
Independent events
47. 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
Survey
Median
Sampling
Parameter
48. A number that is used to describe a characteristic of a sample - such as a sample average - is called a __________.
Statistic
The effect of extreme values on the measures of center
N
P(A)
49. (largest data value) - (smallest data value)
p value left tail
Representative Sample
range
The 3 measures of variation
50. Always use a equal symbol
What symbol must always be found in H0
Population
S
Skewed Distribution