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. Always use a equal symbol
What symbol must always be found in H0
Continuous Data
The effect of extreme values on the measures of center
Independent events
2. A number that is used to describe a characteristic of a sample - such as a sample average - is called a __________.
S
Numerical measurement describing some characteristics of a population.
Statistic
Graph
3. Population variance
s
Cluster sampling
S x
s2
4. Is a number that describes a characteristic of a population
Statistic
Parameter
Designed experiment
Population
5. _______________ are numerical values that can assume only a limited number of values
Bias
Discrete Data
Sample
Sample Variance
6. 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
7. Square the standard deviation and to find the population variance square of the population standard deviation
Sample Variance
Discrete Data
Simple random sample
Median
8. The important aspects of the data are called?
Characteristic of a distribution
Statistics
x
Strata sampling
9. Determine the location of the middle value of all the data values
Census
x
Center of Distribution
Numerical measurement describing some characteristics of a population.
10. Is a sample that has the pertinent characteristics of the population in the same proportion - as they are included in that population
Representative Sample
Variable
Discrete numerical data
What symbol must always be found in H0
11. Sample mean
Strata sampling
S
x
Statistic
12. Is a collection of several data pertaining to one or more variables
Strata sampling
Data Set
Cluster sampling
q
13. Statistics
Numerical measurement describing some characteristics of a population.
Exploratory data analysis
Numerical measurement describing some characteristic of a sample.
Symmetric Distribution
14. 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
Survey
H0
Cluster sampling
15. To find the range subtract the lowest value by the highest value.
Range
q
The 3 measures of variation
p value right tail
16. Members of the population select themselves by volunteering
Percentile
range
Self-selected sample
Frequency histogram
17. A subset of the population- it's important to choose a sample at random to avoid bias in the results
P(A)
Sample
The effect of extreme values on the measures of center
s
18. Sample standard deviation
s
Sample
What symbol must always be found in H0
Observational study
19. 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
Alpha (a)
Convenience sampling
Range
20. Null hypothesis
Survey
Parameter
H0
The 4 measures of center
21. Lowercase sigma; population standard deviaition
Census
Descriptive Statistics
s
What symbol must always be found in H0
22. 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
Graph
n
Symmetric Distribution
p value left tail
23. 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
Data Set
Numerical measurement describing some characteristic of a sample.
Outliers
Raw Data
24. The pattern of variation of data. The distribution may be described as symmetrical - positively skewed - or negatively skewed
Distribution
Graph
Data
Numerical measurement describing some characteristics of a population.
25. Uses numerical and or visual techniques to summarize or describe the data in a clear effective manner
Descriptive Statistics
Variable
Dot plots
Data Set
26. To divide the population into 2 or more non-overlapping subsets called strata
Disjoint event
Strata sampling
p value two tailed test
Parameter
27. The variable value can be represented as isolated points on a number line
Discrete numerical data
H1
Sample
Graph
28. 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
Representative Sample
Simple Random Sample
Statistics
Discrete numerical data
29. Create a sample by using data from population members that are readily available
Bias
Convenience sampling
Skewed Distribution
Outliers
30. For a left tailed test use normalcdf(-999 - ZTS)
s2
s2
P(A)
p value left tail
31. Is the portion of the population that is selected for study
Numerical Variable
Sample
Census
Census
32. Is denoted by 'N' - is the number of data values in the population
Population Size
Population
p
Disjoint event
33. An efficient method of graphing information using actual amounts: clusters - gaps - outliers are clearly identified.
Cluster sampling
s2
Stem and leaf plots
Distribution
34. Collection of information from the whole population
The 3 measures of variation
Numerical Variable
Alpha (a)
Census
35. Occur when one does not affect the probability of the occurrence of the other.
Dependent events
Raw Data
Independent events
Categorical Variable
36. Is denoted by 'n' - is the number of data values in the sample
Sample Size
Numerical Variable
Strata sampling
Simple random sample
37. Population is organized into groups (i.e - neighborhoods/departments) - and sampling unit is selected by a simple random sample
Cluster sampling
Exploratory data analysis
Survey
Symmetric Distribution
38. 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).
Continuous Data
Interval
Systematic sampling
39. Range - standard deviation and variance.
The 3 measures of variation
Frequency
Range
Designed experiment
40. One extreme value can affect it dramatically.
q
Self-selected sample
The effect of extreme values on the measures of center
Outlier
41. Disjoint events cannot overlap. They are mutually exclusive if they cannot occur at the same time.
Pictograph
Disjoint event
Exploratory data analysis
Statistic
42. 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
Census
Pictograph
Statistic
Statistics
43. Using graphs and numerical summaries to describe variables in a data set and their relationship
q
Exploratory data analysis
Skewed Distribution
44. A method of experimentation in which you can control as many variables as possible in order to isolate the effects of a response variable
Random Sample or Probability Sample
Sample Size
Designed experiment
Simple random sample
45. Test use normalcdf(ZTS -999)
Sample Size
Outlier
Cluster sampling
p value right tail
46. 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
Distribution
The 3 measures of variation
Numerical measurement describing some characteristics of a population.
47. Alternative hypothesis
H1
n
p
Self-selected sample
48. 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.
Systematic sampling
Stem and leaf plots
Pictograph
Simple random sample
49. Before they are arranged or analyzed - information or observations are called________.
Graph
Raw Data
q
Pictograph
50. Is a sample containing similar characteristics of the population
Dependent events
range
Representative Sample