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. Mean - mode - median and midrange.
p value two tailed test
The 4 measures of center
Sample Size
The effect of extreme values on the measures of center
2. Is the process of selecting a portion - or sample - of the entire population
Sampling
Data Set
Stem-and-Leaf display
Survey
3. Is a sample that has the pertinent characteristics of the population in the same proportion - as they are included in that population
Systematic sampling
Statistic
Stem-and-Leaf display
Representative Sample
4. Before they are arranged or analyzed - information or observations are called________.
S
Raw Data
Stem and leaf plots
Ratio
5. Sample mean
s2
The 3 measures of variation
x
n
6. Is denoted by 'N' - is the number of data values in the population
Population Size
Symmetric Distribution
Relative frequency histogram
Census
7. A method of data collection where the researcher selects a sample from the population and measures the variable of interest
Systematic sampling
Self-selected sample
Survey
8. A method of data collection in which the objects of study are observed in their natural settings and the variables are recorded
The 4 measures of center
Graph
Ordinal
Observational study
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
range
Categorical Variable
Statistic
Simple random sample
10. A method of experimentation in which you can control as many variables as possible in order to isolate the effects of a response variable
Distribution
Designed experiment
Numerical measurement describing some characteristic of a sample.
Sample Variance
11. 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
Categorical Variable
Alpha (a)
Simple Random Sample
12. Null hypothesis
H0
Sample Size
Nominal
p value two tailed test
13. Collection of information from the whole population
Observational study
Census
Range
Frequency
14. Members of the population select themselves by volunteering
Systematic sampling
Disjoint event
Observational study
Self-selected sample
15. Alternative hypothesis
H1
p value left tail
Simple Random Sample
Survey
16. Double the answer from step 1 or step 2 (on whichever side your test statistics falls).
Distribution
p value two tailed test
Statistics
P(A)
17. Probability of event A
Bias
Designed experiment
P(A)
The effect of extreme values on the measures of center
18. To calculate the percentile take the number of values less than x - divide by total number of values and times by 100.
H1
Cluster sampling
Percentile
The effect of extreme values on the measures of center
19. _______________ are numerical values that can assume only a limited number of values
Data
s2
Percentile
Discrete Data
20. Using graphs and numerical summaries to describe variables in a data set and their relationship
Median
Disjoint event
Exploratory data analysis
Observational study
21. Test use normalcdf(ZTS -999)
Independent events
Parameter
p value right tail
Data Set
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
Median
Numerical Variable
Symmetric Distribution
Outlier
23. 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
s2
Population Size
Bias
Ratio
24. Level of measurement- Involves data that may be arranged in some order - but differences between data values either cannot be determined or are meaningless. (Example) Questions on a survey are scored with integers 1 thru 5 with 1 representing strong
The 3 measures of variation
Stem-and-Leaf display
Ordinal
x
25. Capital sigma; summation
Representative Sample
Exploratory data analysis
Outliers
S
26. Type of information - usually a property of characteristic of a person or thing that is measured or observed
Graph
Nominal
Variable
Ordinal
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
Alpha (a)
Designed experiment
Sample
s2
28. Statistics
s2
Frequency histogram
Numerical measurement describing some characteristic of a sample.
Survey
29. The variable value can be represented as isolated points on a number line
Ratio
Discrete numerical data
Survey
Bias
30. Sample standard deviation
Variable
Categorical Variable
Distribution
s
31. Collection of information from a sample
Statistic
Pictograph
Inferential Statistics
Survey
32. The pattern of variation of data. The distribution may be described as symmetrical - positively skewed - or negatively skewed
Distribution
p
Continuous Data
33. Sample size or number of trials
Parameter
n
Exploratory data analysis
p
34. Occur when one of them affects the probability of the other.
Dependent events
Simple random sample
Convenience sampling
p value two tailed test
35. 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 value right tail
Discrete numerical data
36. 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
Bias
Ratio
Census
37. 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
Sampling
Numerical measurement describing some characteristic of a sample.
n
38. A quantity calculated from data gathered from a sample- usually used to estimate a population parameter
Statistics
Statistic
Numerical measurement describing some characteristic of a sample.
Population
39. Population size
N
Designed experiment
Population
Outlier
40. An efficient method of graphing information using actual amounts: clusters - gaps - outliers are clearly identified.
Observational study
Stem and leaf plots
Representative Sample
s2
41. Is the portion of the population that is selected for study
Bias
Symmetric Distribution
Sample
Data Set
42. Type of bar graph that shows frequency distributions
Population Size
Descriptive Statistics
Frequency histogram
p
43. Standard scores and percentile
Ordinal
Pictograph
The 2 measures of relative standing
Bias
44. 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
Median
s
Distribution
45. Is the entire collection of all individuals or objects of interest
s2
Population
Sample Variance
Nominal
46. Is a number that describes a characteristic of a population
Representative Sample
Numerical measurement describing some characteristics of a population.
Ordinal
Parameter
47. 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
48. Information about individuals in a population
Continuous Data
Data
Characteristic of a distribution
n
49. Create a sample by using data from population members that are readily available
Frequency histogram
Discrete numerical data
Dependent events
Convenience sampling
50. A survey that includes every item or individual of the population
Ratio
What symbol must always be found in H0
Census
Survey