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. Is a sample containing similar characteristics of the population
Sample Size
Discrete numerical data
What symbol must always be found in H0
Representative Sample
2. 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
Outlier
p
3. Capital sigma; summation
Skewed Distribution
Continuous Data
S
s2
4. Is the portion of the population that is selected for study
Statistic
Sample
Discrete Data
Independent events
5. A quantity calculated from data gathered from a sample- usually used to estimate a population parameter
Statistic
Graph
Random Sample or Probability Sample
Exploratory data analysis
6. Lowercase sigma; population standard deviaition
s
N
Skewed Distribution
S x
7. Test use normalcdf(ZTS -999)
Data
Frequency
p
p value right tail
8. A method of data collection where the researcher selects a sample from the population and measures the variable of interest
Survey
Distribution
Strata sampling
Representative Sample
9. Population size
Exploratory data analysis
N
Ratio
Characteristic of a distribution
10. A flaw in the sampling procedure that makes it more likely that the sample will NOT be representative of population
Bias
Pictograph
p
Dot plots
11. An efficient method of graphing information using actual amounts: clusters - gaps - outliers are clearly identified.
Stem and leaf plots
Ordinal
Dot plots
Outlier
12. Square the standard deviation and to find the population variance square of the population standard deviation
Sample Variance
Ratio
Strata sampling
H0
13. Sum of the values
S x
Simple random sample
Numerical Variable
p
14. Is a collection of several data pertaining to one or more variables
The 4 measures of center
Population Size
Data Set
Distribution
15. A subset of the population- it's important to choose a sample at random to avoid bias in the results
Census
Sample
Parameter
Distribution
16. 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
Numerical measurement describing some characteristics of a population.
Sample
Outliers
Random Sample or Probability Sample
17. 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
Ratio
Population
Dependent events
Statistic
18. Sample proportion
p
Relative frequency histogram
Self-selected sample
19. Mu; population mean
p
Sample
Outliers
20. Always use a equal symbol
What symbol must always be found in H0
The 2 measures of relative standing
Designed experiment
Independent events
21. Standard scores and percentile
Distribution
Independent events
The effect of extreme values on the measures of center
The 2 measures of relative standing
22. Can be used to get an initial graphical view of data
Dot plots
Ratio
H1
p
23. A collection of individuals about which we want to draw conclusions
Frequency
Statistic (note there is no 's' at the end)
Population
Observational study
24. An individual data value which lies far (above or below) from most or all of the other data values within a distribution
Outlier
Center of Distribution
x
Pictograph
25. Occur when one does not affect the probability of the occurrence of the other.
The 2 measures of relative standing
Data
Independent events
26. Is the entire collection of all individuals or objects of interest
Population
Independent events
Discrete numerical data
Population Size
27. A method of data collection in which the objects of study are observed in their natural settings and the variables are recorded
S x
Observational study
Graph
Nominal
28. A number that is used to describe a characteristic of a sample - such as a sample average - is called a __________.
Distribution
Statistic
Frequency
Ratio
29. Population proportion
Ratio
s2
p
Outlier
30. 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).
Nominal
Bias
Statistic
Interval
31. Is the process of selecting a portion - or sample - of the entire population
p
Raw Data
p value two tailed test
Sampling
32. 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
N
Representative Sample
Outliers
Numerical measurement describing some characteristic of a sample.
33. Type II error is measured
Convenience sampling
Symmetric Distribution
Parameter
34. Is a number that describes a characteristic of a sample
Warning
: Invalid argument supplied for foreach() in
/var/www/html/basicversity.com/show_quiz.php
on line
183
35. Sample standard deviation
range
The 2 measures of relative standing
s
Range
36. Sample variance
Alpha (a)
s2
H0
Self-selected sample
37. Using graphs and numerical summaries to describe variables in a data set and their relationship
Exploratory data analysis
Stem-and-Leaf display
Simple random sample
Statistic
38. _______________ are numerical measurements that can assume any value between two numbers
Percentile
Continuous Data
Frequency
Bias
39. Range - standard deviation and variance.
Parameter
s2
The 3 measures of variation
Stem-and-Leaf display
40. Has the same shape and horizontal scale as a histogram - but the vertical scale is marked with relative frequencies instead of actual frequencies
Relative frequency histogram
Stem-and-Leaf display
Census
Descriptive Statistics
41. Type of information - usually a property of characteristic of a person or thing that is measured or observed
Outliers
Disjoint event
q
Variable
42. Create a sample by using data from population members that are readily available
P(A)
Ordinal
The 2 measures of relative standing
Convenience sampling
43. The important aspects of the data are called?
Characteristic of a distribution
x
44. Information about individuals in a population
Data
Median
Alpha (a)
Statistics
45. A method of experimentation in which you can control as many variables as possible in order to isolate the effects of a response variable
Convenience sampling
Alpha (a)
Designed experiment
The 2 measures of relative standing
46. Members of the population select themselves by volunteering
Self-selected sample
Stem-and-Leaf display
n
Census
47. Represents categories - and is nonnumerical in nature
Outliers
Categorical Variable
Pictograph
s2
48. 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
p
P(A)
Range
49. Sample size or number of trials
Census
n
Descriptive Statistics
S
50. _______________ 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
Range
Inferential Statistics
Alpha (a)
Distribution