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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. Occur when one of them affects the probability of the other.
Dependent events
Census
Range
Survey
2. Is a sample that has the pertinent characteristics of the population in the same proportion - as they are included in that population
Alpha (a)
S
Representative Sample
Stem and leaf plots
3. Determine the location of the middle value of all the data values
Distribution
Raw Data
Descriptive Statistics
Center of Distribution
4. Is the entire collection of all individuals or objects of interest
Independent events
Population
Numerical measurement describing some characteristics of a population.
s
5. A descriptive tool used to visually describe the characteristics and relationships of collections of data quickly and attractively
Dependent events
Statistic
Graph
6. Information about individuals in a population
p value two tailed test
Percentile
x
Data
7. Capital sigma; summation
S
Representative Sample
Survey
s2
8. For a left tailed test use normalcdf(-999 - ZTS)
p value left tail
Characteristic of a distribution
The 3 measures of variation
Representative Sample
9. The number of times each data value occurs
Skewed Distribution
Raw Data
Convenience sampling
Frequency
10. Members of the population select themselves by volunteering
Dot plots
Percentile
Dependent events
Self-selected sample
11. 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
Discrete numerical data
Simple random sample
Exploratory data analysis
Representative Sample
12. Is denoted by 'N' - is the number of data values in the population
The 2 measures of relative standing
p value right tail
x
Population Size
13. Lowercase sigma; population standard deviaition
S x
Data Set
Sample Variance
s
14. 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
Simple Random Sample
Outlier
Statistics
Descriptive Statistics
15. Is a number that describes a characteristic of a sample
16. Sample proportion
p
Statistic
Cluster sampling
Skewed Distribution
17. Occur when one does not affect the probability of the occurrence of the other.
Population Size
The 3 measures of variation
Independent events
Center of Distribution
18. One extreme value can affect it dramatically.
The effect of extreme values on the measures of center
Simple Random Sample
The 3 measures of variation
19. A method of data collection in which the objects of study are observed in their natural settings and the variables are recorded
Statistic (note there is no 's' at the end)
range
Observational study
Stem-and-Leaf display
20. Null hypothesis
Relative frequency histogram
Convenience sampling
Continuous Data
H0
21. Mean - mode - median and midrange.
The 4 measures of center
Symmetric Distribution
Population Size
Bias
22. Mu; population mean
p value right tail
Statistic
p value two tailed test
23. The important aspects of the data are called?
Characteristic of a distribution
Dot plots
Representative Sample
range
24. 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
Dot plots
Ratio
range
H1
25. 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
s
Alpha (a)
Independent events
26. A collection of individuals about which we want to draw conclusions
Population
Census
Categorical Variable
27. A subset of the population- it's important to choose a sample at random to avoid bias in the results
Categorical Variable
s
Sample
Distribution
28. Uses numerical and or visual techniques to summarize or describe the data in a clear effective manner
p
p
p value left tail
Descriptive Statistics
29. 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
Symmetric Distribution
Numerical Variable
Census
Discrete numerical data
30. Sum of the values
Strata sampling
Self-selected sample
H0
S x
31. 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
q
Population
Stem-and-Leaf display
Data
32. Create a sample by using data from population members that are readily available
range
Categorical Variable
Convenience sampling
What symbol must always be found in H0
33. Alternative hypothesis
The effect of extreme values on the measures of center
Dependent events
H1
Statistic (note there is no 's' at the end)
34. A method of data collection where the researcher selects a sample from the population and measures the variable of interest
Descriptive Statistics
Outlier
Observational study
Survey
35. 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
Median
Sampling
Cluster sampling
range
36. Standard scores and percentile
The 2 measures of relative standing
p value two tailed test
Survey
Census
37. 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).
Sample
Stem and leaf plots
Interval
Census
38. Is a sample containing similar characteristics of the population
Exploratory data analysis
Representative Sample
range
Pictograph
39. Sample standard deviation
Characteristic of a distribution
Population
s
Outlier
40. Sample size or number of trials
S
Skewed Distribution
Discrete numerical data
n
41. Is a collection of several data pertaining to one or more variables
Sample
Data Set
Representative Sample
Cluster sampling
42. Is the process of selecting a portion - or sample - of the entire population
n
Pictograph
Statistic
Sampling
43. 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
Variable
Representative Sample
Random Sample or Probability Sample
Statistics
44. _______________ 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
Sample Variance
Random Sample or Probability Sample
S
45. Complement of p
q
Sampling
p
Independent events
46. Type of bar graph that shows frequency distributions
Statistics
Frequency histogram
Inferential Statistics
Observational study
47. A method in which you randomly choose one number from 'l' to 'k' and continue to select the kth element
Range
Systematic sampling
Interval
Percentile
48. Test use normalcdf(ZTS -999)
Variable
p value right tail
Observational study
Frequency
49. A quantity calculated from data gathered from a sample- usually used to estimate a population parameter
Statistic
Self-selected sample
Frequency
p
50. Variable where the value is a number that results from a measurement process - also called numerical data
Numerical Variable
Sample
Variable