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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. _______________ are numerical measurements that can assume any value between two numbers
q
p value left tail
Continuous Data
Relative frequency histogram
2. To divide the population into 2 or more non-overlapping subsets called strata
The 2 measures of relative standing
s
Variable
Strata sampling
3. Null hypothesis
Pictograph
The 4 measures of center
H0
S
4. Can be used to get an initial graphical view of data
Variable
Statistic
Representative Sample
Dot plots
5. A subset of the population- it's important to choose a sample at random to avoid bias in the results
The 4 measures of center
Sample
Outlier
Random Sample or Probability Sample
6. Variable where the value is a number that results from a measurement process - also called numerical data
H0
Stem and leaf plots
Numerical Variable
Numerical measurement describing some characteristics of a population.
7. A method of data collection where the researcher selects a sample from the population and measures the variable of interest
Survey
Population
The 3 measures of variation
Frequency histogram
8. A numerical quantity measuring some aspect of the population
S x
s2
Parameter
P(A)
9. Alternative hypothesis
H1
Sampling
Dot plots
Range
10. An individual data value which lies far (above or below) from most or all of the other data values within a distribution
Outlier
Numerical Variable
Observational study
Representative Sample
11. Square the standard deviation and to find the population variance square of the population standard deviation
Discrete Data
Graph
Statistic (note there is no 's' at the end)
Sample Variance
12. Is the process of using SAMPLE INFORMATION to draw inferences or conclusions about the POPULATION
p
p
Inferential Statistics
Representative Sample
13. A flaw in the sampling procedure that makes it more likely that the sample will NOT be representative of population
s2
Discrete numerical data
Median
Bias
14. Always use a equal symbol
s2
What symbol must always be found in H0
Outliers
H0
15. Is the entire collection of all individuals or objects of interest
Discrete Data
Sample Variance
Population
p value left tail
16. Is a sample containing similar characteristics of the population
Center of Distribution
Statistic
Representative Sample
Independent events
17. (largest data value) - (smallest data value)
The effect of extreme values on the measures of center
range
Sample Size
Interval
18. Sample variance
Self-selected sample
Observational study
s2
Skewed Distribution
19. 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
Raw Data
Distribution
Stem-and-Leaf display
20. Is a sample that has the pertinent characteristics of the population in the same proportion - as they are included in that population
p
Median
Data
Representative Sample
21. Is denoted by 'n' - is the number of data values in the sample
Range
Percentile
Sample Size
Sample Variance
22. _______________ 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
s
Numerical measurement describing some characteristics of a population.
p value right tail
Distribution
23. Population proportion
p
The 2 measures of relative standing
H0
Numerical measurement describing some characteristic of a sample.
24. One extreme value can affect it dramatically.
Raw Data
Observational study
Categorical Variable
The effect of extreme values on the measures of center
25. A method in which you randomly choose one number from 'l' to 'k' and continue to select the kth element
Continuous Data
p value right tail
Systematic sampling
s2
26. A method of data collection in which the objects of study are observed in their natural settings and the variables are recorded
Observational study
Sample Variance
s2
27. Members of the population select themselves by volunteering
Self-selected sample
Survey
Raw Data
Skewed Distribution
28. Population is organized into groups (i.e - neighborhoods/departments) - and sampling unit is selected by a simple random sample
Cluster sampling
What symbol must always be found in H0
Self-selected sample
Stem and leaf plots
29. Is a number that describes a characteristic of a population
Population Size
Sample
Convenience sampling
Parameter
30. 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
s2
p value left tail
Outliers
Ordinal
31. Determine the location of the middle value of all the data values
Percentile
Self-selected sample
Representative Sample
Center of Distribution
32. Capital sigma; summation
Dot plots
Population
S
Systematic sampling
33. 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.
Symmetric Distribution
Pictograph
Representative Sample
Interval
34. Occur when one of them affects the probability of the other.
Sample Size
Dependent events
Descriptive Statistics
Population Size
35. Is denoted by 'N' - is the number of data values in the population
Numerical measurement describing some characteristic of a sample.
Population Size
Dot plots
Statistic
36. To find the range subtract the lowest value by the highest value.
Range
N
Dot plots
Survey
37. Double the answer from step 1 or step 2 (on whichever side your test statistics falls).
Numerical measurement describing some characteristic of a sample.
p value two tailed test
P(A)
Inferential Statistics
38. Complement of p
Outlier
q
The 3 measures of variation
H0
39. Sum of the values
Stem-and-Leaf display
S x
Stem and leaf plots
Simple Random Sample
40. A quantity calculated from data gathered from a sample- usually used to estimate a population parameter
s2
Alpha (a)
Statistic
41. 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
Data Set
Range
Simple Random Sample
42. The variable value can be represented as isolated points on a number line
Bias
Discrete numerical data
Independent events
Percentile
43. 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
Simple Random Sample
Survey
Dot plots
44. Population variance
Convenience sampling
s2
Relative frequency histogram
Outliers
45. Create a sample by using data from population members that are readily available
Statistic
Independent events
Convenience sampling
Outliers
46. 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 histogram
What symbol must always be found in H0
47. Disjoint events cannot overlap. They are mutually exclusive if they cannot occur at the same time.
Data Set
Sampling
Frequency
Disjoint event
48. Collection of information from the whole population
S
S x
Census
Dot plots
49. Mean - mode - median and midrange.
s
The 4 measures of center
Statistics
Population
50. The number of times each data value occurs
Dot plots
Systematic sampling
Statistic
Frequency