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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. Uses numerical and or visual techniques to summarize or describe the data in a clear effective manner
Descriptive Statistics
What symbol must always be found in H0
Cluster sampling
Center of Distribution
2. Sum of the values
S x
Raw Data
Parameter
Sample Size
3. _______________ are numerical measurements that can assume any value between two numbers
Characteristic of a distribution
Continuous Data
Simple Random Sample
Cluster sampling
4. Can be used to get an initial graphical view of data
S x
Dot plots
Sample Variance
Parameter
5. _______________ 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
Systematic sampling
Characteristic of a distribution
Symmetric Distribution
Distribution
6. 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.
q
Pictograph
Continuous Data
Representative Sample
7. Is denoted by 'n' - is the number of data values in the sample
Relative frequency histogram
Inferential Statistics
Simple random sample
Sample Size
8. A number that is used to describe a characteristic of a sample - such as a sample average - is called a __________.
Sample
Sample Variance
Statistic
Characteristic of a distribution
9. Mu; population mean
q
Sample
Graph
10. (largest data value) - (smallest data value)
Bias
s2
Distribution
range
11. Is the process of selecting a portion - or sample - of the entire population
p value right tail
Sampling
Alpha (a)
Data Set
12. 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
Simple Random Sample
Ordinal
n
Discrete Data
13. One extreme value can affect it dramatically.
Percentile
Frequency histogram
The effect of extreme values on the measures of center
Pictograph
14. A subset of the population- it's important to choose a sample at random to avoid bias in the results
Simple random sample
H0
Sample
Frequency
15. 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
Convenience sampling
Symmetric Distribution
s
16. Complement of p
Raw Data
Statistic (note there is no 's' at the end)
Dependent events
q
17. A collection of individuals about which we want to draw conclusions
Population
S
Distribution
Dependent events
18. Is a number that describes a characteristic of a sample
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19. An individual data value which lies far (above or below) from most or all of the other data values within a distribution
Outlier
Population
s
Graph
20. 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
Stem and leaf plots
Random Sample or Probability Sample
Bias
Ordinal
21. Is the portion of the population that is selected for study
Parameter
Ordinal
Discrete numerical data
Sample
22. To divide the population into 2 or more non-overlapping subsets called strata
Sample
Independent events
Sampling
Strata sampling
23. The variable value can be represented as isolated points on a number line
Self-selected sample
Random Sample or Probability Sample
Simple random sample
Discrete numerical data
24. Members of the population select themselves by volunteering
Frequency histogram
Population
N
Self-selected sample
25. Sample mean
s
x
Distribution
Simple random sample
26. 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
s2
Statistic (note there is no 's' at the end)
The 4 measures of center
27. Is a sample containing similar characteristics of the population
p value left tail
Representative Sample
Population
Discrete Data
28. Population variance
s2
Variable
p value left tail
x
29. Is the entire collection of all individuals or objects of interest
H1
Population
Census
p
30. An efficient method of graphing information using actual amounts: clusters - gaps - outliers are clearly identified.
N
Stem and leaf plots
What symbol must always be found in H0
Data
31. Type of information - usually a property of characteristic of a person or thing that is measured or observed
Representative Sample
x
Variable
Numerical measurement describing some characteristic of a sample.
32. To calculate the percentile take the number of values less than x - divide by total number of values and times by 100.
p
Percentile
Statistic
Distribution
33. Information about individuals in a population
Data
Distribution
P(A)
Convenience sampling
34. A method in which you randomly choose one number from 'l' to 'k' and continue to select the kth element
Alpha (a)
Discrete numerical data
Population Size
Systematic sampling
35. Probability of event A
N
range
s2
P(A)
36. Is a sample that has the pertinent characteristics of the population in the same proportion - as they are included in that population
Systematic sampling
Representative Sample
Data
Statistic
37. Represents categories - and is nonnumerical in nature
Survey
Categorical Variable
Census
x
38. The important aspects of the data are called?
Sample Variance
Independent events
Characteristic of a distribution
Stem-and-Leaf display
39. A method of experimentation in which you can control as many variables as possible in order to isolate the effects of a response variable
Designed experiment
s
Frequency
Census
40. A method of data collection where the researcher selects a sample from the population and measures the variable of interest
Census
Survey
S x
The 3 measures of variation
41. 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
The 3 measures of variation
Survey
q
42. Variable where the value is a number that results from a measurement process - also called numerical data
Numerical Variable
Independent events
Data Set
Statistic
43. Is a collection of several data pertaining to one or more variables
S x
Disjoint event
Data Set
Census
44. 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).
Interval
Relative frequency histogram
H0
Data
45. Collection of information from the whole population
Center of Distribution
s
Percentile
Census
46. Is a number that describes a characteristic of a population
Parameter
Bias
Center of Distribution
Descriptive Statistics
47. Type of bar graph that shows frequency distributions
Pictograph
Characteristic of a distribution
Categorical Variable
Frequency histogram
48. Parameter
Numerical measurement describing some characteristic of a sample.
N
Parameter
Numerical measurement describing some characteristics of a population.
49. A flaw in the sampling procedure that makes it more likely that the sample will NOT be representative of population
Bias
Median
Parameter
Interval
50. Occur when one does not affect the probability of the occurrence of the other.
Independent events
Simple Random Sample
Strata sampling
The 3 measures of variation