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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. Create a sample by using data from population members that are readily available
Stem and leaf plots
Convenience sampling
Median
2. Is a sample containing similar characteristics of the population
Representative Sample
p
What symbol must always be found in H0
Median
3. Has the same shape and horizontal scale as a histogram - but the vertical scale is marked with relative frequencies instead of actual frequencies
Dependent events
Population Size
Graph
Relative frequency histogram
4. Uses numerical and or visual techniques to summarize or describe the data in a clear effective manner
Dot plots
Relative frequency histogram
Descriptive Statistics
Self-selected sample
5. Statistics
Variable
P(A)
Numerical measurement describing some characteristic of a sample.
Self-selected sample
6. Double the answer from step 1 or step 2 (on whichever side your test statistics falls).
p value two tailed test
Range
Designed experiment
Disjoint event
7. Population size
N
Population Size
Ordinal
Statistic (note there is no 's' at the end)
8. Sample proportion
Systematic sampling
Frequency
p
Statistic
9. For a left tailed test use normalcdf(-999 - ZTS)
Discrete numerical data
Outlier
p value left tail
Center of Distribution
10. Probability of event A
Median
Population
P(A)
11. Sample size or number of trials
Exploratory data analysis
The 4 measures of center
n
Outlier
12. Sample mean
x
Distribution
Dependent events
Random Sample or Probability Sample
13. Is a sample that has the pertinent characteristics of the population in the same proportion - as they are included in that population
p
Distribution
Representative Sample
Survey
14. Lowercase sigma; population standard deviaition
Data Set
s
Disjoint event
Median
15. Population proportion
p
Characteristic of a distribution
Population Size
16. Collection of information from the whole population
Designed experiment
Stem-and-Leaf display
Simple Random Sample
Census
17. A method of data collection in which the objects of study are observed in their natural settings and the variables are recorded
range
Observational study
p
Convenience sampling
18. 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
s2
Random Sample or Probability Sample
Outliers
Simple Random Sample
19. Square the standard deviation and to find the population variance square of the population standard deviation
Dot plots
Cluster sampling
p
Sample Variance
20. _______________ are numerical values that can assume only a limited number of values
Discrete Data
p
Outliers
Dependent events
21. Is the portion of the population that is selected for study
Survey
range
Sample
Numerical Variable
22. Determine the location of the middle value of all the data values
Population
Representative Sample
Center of Distribution
Strata sampling
23. Mu; population mean
Sample Size
Exploratory data analysis
Center of Distribution
24. Is the process of selecting a portion - or sample - of the entire population
Frequency
q
Sampling
Systematic sampling
25. Type of bar graph that shows frequency distributions
Frequency histogram
Self-selected sample
Continuous Data
s
26. Mean - mode - median and midrange.
Center of Distribution
The 4 measures of center
Statistic
27. _______________ are numerical measurements that can assume any value between two numbers
N
What symbol must always be found in H0
Continuous Data
Center of Distribution
28. Null hypothesis
The effect of extreme values on the measures of center
Survey
H0
Dependent events
29. A collection of individuals about which we want to draw conclusions
Population
s
n
Alpha (a)
30. Occur when one of them affects the probability of the other.
Parameter
The 4 measures of center
Simple random sample
Dependent events
31. Is a number that describes a characteristic of a sample
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32. Sample variance
Population Size
range
Parameter
s2
33. The variable value can be represented as isolated points on a number line
Exploratory data analysis
Observational study
Discrete numerical data
Dot plots
34. The important aspects of the data are called?
The 2 measures of relative standing
Characteristic of a distribution
Variable
Symmetric Distribution
35. Always use a equal symbol
Data
Sample Size
Parameter
What symbol must always be found in H0
36. Capital sigma; summation
Characteristic of a distribution
Self-selected sample
Sample Variance
S
37. Before they are arranged or analyzed - information or observations are called________.
Raw Data
Bias
Population
s
38. To divide the population into 2 or more non-overlapping subsets called strata
Statistic
Strata sampling
The 3 measures of variation
Distribution
39. Complement of p
Cluster sampling
Data Set
The 4 measures of center
q
40. Population variance
Nominal
Exploratory data analysis
Discrete numerical data
s2
41. Sum of the values
Raw Data
Symmetric Distribution
Representative Sample
S x
42. The pattern of variation of data. The distribution may be described as symmetrical - positively skewed - or negatively skewed
Simple random sample
Range
Distribution
Pictograph
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
Alpha (a)
N
Frequency histogram
Skewed Distribution
44. An efficient method of graphing information using actual amounts: clusters - gaps - outliers are clearly identified.
What symbol must always be found in H0
Stem and leaf plots
Statistic
The 2 measures of relative standing
45. A quantity calculated from data gathered from a sample- usually used to estimate a population parameter
S x
Distribution
Numerical measurement describing some characteristics of a population.
Statistic
46. Is a number that describes a characteristic of a population
s2
p
P(A)
Parameter
47. Alternative hypothesis
Designed experiment
Skewed Distribution
Nominal
H1
48. Parameter
Self-selected sample
Statistic
Numerical measurement describing some characteristics of a population.
49. A descriptive tool used to visually describe the characteristics and relationships of collections of data quickly and attractively
Graph
Alpha (a)
Distribution
s
50. Standard scores and percentile
Convenience sampling
q
Raw Data
The 2 measures of relative standing