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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. A collection of individuals about which we want to draw conclusions
s2
Statistic
Population
S
2. Members of the population select themselves by volunteering
Self-selected sample
Survey
Center of Distribution
Nominal
3. Is a collection of several data pertaining to one or more variables
Data Set
Center of Distribution
Dot plots
Raw Data
4. 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
s
Random Sample or Probability Sample
Relative frequency histogram
H0
5. Is a number that describes a characteristic of a sample
6. Always use a equal symbol
What symbol must always be found in H0
Parameter
Symmetric Distribution
7. To find the range subtract the lowest value by the highest value.
Range
Population Size
Ordinal
Outlier
8. Capital sigma; summation
S
H0
Numerical Variable
Parameter
9. 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
Survey
Ratio
H1
s2
10. Sample proportion
Numerical Variable
p
Disjoint event
p value left tail
11. Standard scores and percentile
n
The 2 measures of relative standing
Relative frequency histogram
Center of Distribution
12. Collection of information from a sample
Population
Discrete Data
x
Survey
13. Occur when one of them affects the probability of the other.
q
Dependent events
What symbol must always be found in H0
s
14. Has the same shape and horizontal scale as a histogram - but the vertical scale is marked with relative frequencies instead of actual frequencies
Pictograph
N
Relative frequency histogram
Survey
15. Sample standard deviation
Center of Distribution
Cluster sampling
Dependent events
s
16. An individual data value which lies far (above or below) from most or all of the other data values within a distribution
The 2 measures of relative standing
Self-selected sample
Skewed Distribution
Outlier
17. Is the entire collection of all individuals or objects of interest
Alpha (a)
Population
Distribution
Population Size
18. Range - standard deviation and variance.
The 3 measures of variation
Descriptive Statistics
Continuous Data
p value right tail
19. Can be used to get an initial graphical view of data
Frequency histogram
Dot plots
Outlier
p value two tailed test
20. Population size
Random Sample or Probability Sample
Census
Disjoint event
N
21. 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
Statistic
H0
Observational study
22. 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 plots
Data Set
Stem-and-Leaf display
Ordinal
23. A descriptive tool used to visually describe the characteristics and relationships of collections of data quickly and attractively
Skewed Distribution
Systematic sampling
Characteristic of a distribution
Graph
24. _______________ 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
Cluster sampling
Distribution
Numerical Variable
The effect of extreme values on the measures of center
25. Type of information - usually a property of characteristic of a person or thing that is measured or observed
p value left tail
Frequency histogram
s
Variable
26. Statistics
Random Sample or Probability Sample
Nominal
Numerical measurement describing some characteristic of a sample.
n
27. A quantity calculated from data gathered from a sample- usually used to estimate a population parameter
s2
Statistic
Numerical Variable
28. Mean - mode - median and midrange.
Continuous Data
Survey
The 4 measures of center
Sample
29. Type II error is measured
Independent events
Statistic
Parameter
30. 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
p value two tailed test
Outliers
Symmetric Distribution
Disjoint event
31. A method of data collection in which the objects of study are observed in their natural settings and the variables are recorded
Statistics
Sample
Discrete numerical data
Observational study
32. Is the portion of the population that is selected for study
range
Sample
Median
n
33. A method of experimentation in which you can control as many variables as possible in order to isolate the effects of a response variable
Raw Data
Designed experiment
Numerical Variable
The 3 measures of variation
34. A method of data collection where the researcher selects a sample from the population and measures the variable of interest
Distribution
Data Set
Survey
35. Sample variance
Representative Sample
s2
The 3 measures of variation
Observational study
36. Is the process of selecting a portion - or sample - of the entire population
Self-selected sample
Independent events
Sampling
Percentile
37. Test use normalcdf(ZTS -999)
p value right tail
Frequency histogram
Discrete numerical data
Frequency
38. Determine the location of the middle value of all the data values
Independent events
Population
Center of Distribution
Ratio
39. Variable where the value is a number that results from a measurement process - also called numerical data
Statistic
Census
Pictograph
Numerical Variable
40. Create a sample by using data from population members that are readily available
Convenience sampling
Discrete numerical data
Range
H1
41. _______________ are numerical measurements that can assume any value between two numbers
x
Statistic
Continuous Data
Outliers
42. A numerical quantity measuring some aspect of the population
Dependent events
H1
Parameter
p value right tail
43. Uses numerical and or visual techniques to summarize or describe the data in a clear effective manner
Outliers
p
Skewed Distribution
Descriptive Statistics
44. The number of times each data value occurs
Frequency
s2
Ratio
Disjoint event
45. An efficient method of graphing information using actual amounts: clusters - gaps - outliers are clearly identified.
Bias
Stem and leaf plots
Frequency
Numerical measurement describing some characteristic of a sample.
46. 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
Statistic (note there is no 's' at the end)
Categorical Variable
Nominal
Stem-and-Leaf display
47. 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
Numerical measurement describing some characteristics of a population.
Outliers
Simple Random Sample
Cluster sampling
48. Sample size or number of trials
Descriptive Statistics
n
Range
Parameter
49. Represents categories - and is nonnumerical in nature
Descriptive Statistics
Categorical Variable
The 4 measures of center
Dot plots
50. Sample mean
Simple Random Sample
Designed experiment
s2
x