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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. Is a number that describes a characteristic of a sample
2. A subset of the population- it's important to choose a sample at random to avoid bias in the results
Alpha (a)
N
Frequency
Sample
3. Level of measurement- Involves data that may be arranged in some order - but differences between data values either cannot be determined or are meaningless. (Example) Questions on a survey are scored with integers 1 thru 5 with 1 representing strong
Categorical Variable
Ordinal
Frequency histogram
Survey
4. Complement of p
p value right tail
Nominal
q
p
5. Type of bar graph that shows frequency distributions
Ordinal
Frequency histogram
Sample
Strata sampling
6. Sample size or number of trials
Data Set
Graph
p
n
7. The number of times each data value occurs
Alpha (a)
Frequency
p
Census
8. Information about individuals in a population
Designed experiment
Dependent events
p value two tailed test
Data
9. Lowercase sigma; population standard deviaition
Alpha (a)
s
Convenience sampling
Stem and leaf plots
10. Is the process of selecting a portion - or sample - of the entire population
Random Sample or Probability Sample
Stem and leaf plots
Strata sampling
Sampling
11. Is a sample containing similar characteristics of the population
Representative Sample
Statistics
Self-selected sample
Census
12. Is the process of using SAMPLE INFORMATION to draw inferences or conclusions about the POPULATION
x
Inferential Statistics
Statistic
13. The variable value can be represented as isolated points on a number line
Discrete numerical data
Dependent events
H0
Simple Random Sample
14. Sum of the values
S x
Outlier
Discrete numerical data
range
15. Always use a equal symbol
Sample Size
What symbol must always be found in H0
q
S x
16. Sample mean
Statistics
Simple random sample
p value right tail
x
17. Mu; population mean
Parameter
Sample
Random Sample or Probability Sample
18. The important aspects of the data are called?
Sample Variance
Sample
Characteristic of a distribution
Stem and leaf plots
19. Variable where the value is a number that results from a measurement process - also called numerical data
Distribution
Population
Statistic
Numerical Variable
20. Null hypothesis
Inferential Statistics
Relative frequency histogram
H0
Parameter
21. 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
Discrete Data
Outlier
p value right tail
Ratio
22. Is denoted by 'n' - is the number of data values in the sample
Range
Sample Size
Graph
Data Set
23. _______________ are numerical measurements that can assume any value between two numbers
Numerical measurement describing some characteristics of a population.
Self-selected sample
Continuous Data
Pictograph
24. Is a number that describes a characteristic of a population
S
Parameter
Statistic (note there is no 's' at the end)
p value right tail
25. Square the standard deviation and to find the population variance square of the population standard deviation
Sample Variance
Strata sampling
p value right tail
Distribution
26. Type II error is measured
Sample
Numerical Variable
s
27. Is a sample that has the pertinent characteristics of the population in the same proportion - as they are included in that population
Skewed Distribution
Stem and leaf plots
Representative Sample
Pictograph
28. A descriptive tool used to visually describe the characteristics and relationships of collections of data quickly and attractively
Graph
Data Set
Statistic
Convenience sampling
29. Sample standard deviation
s
Distribution
Sample Variance
Sampling
30. Members of the population select themselves by volunteering
Data Set
Self-selected sample
Nominal
Survey
31. To calculate the percentile take the number of values less than x - divide by total number of values and times by 100.
Percentile
p
Dot plots
Convenience sampling
32. Mean - mode - median and midrange.
Sample Size
The 4 measures of center
Sample Variance
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
Percentile
P(A)
Sample
Designed experiment
34. A flaw in the sampling procedure that makes it more likely that the sample will NOT be representative of population
Relative frequency histogram
Nominal
Independent events
Bias
35. Statistics
Cluster sampling
Ordinal
Median
Numerical measurement describing some characteristic of a sample.
36. One extreme value can affect it dramatically.
Sample
The effect of extreme values on the measures of center
Graph
Sampling
37. Sample variance
Dependent events
Median
N
s2
38. Collection of information from a sample
s
The 3 measures of variation
Survey
Simple Random Sample
39. 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
Descriptive Statistics
Variable
Statistic
Nominal
40. A method of data collection where the researcher selects a sample from the population and measures the variable of interest
Descriptive Statistics
Sample Size
Survey
S x
41. 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
H0
s
Disjoint event
Outliers
42. _______________ are numerical values that can assume only a limited number of values
The 4 measures of center
Data Set
Discrete Data
Statistic (note there is no 's' at the end)
43. Occur when one does not affect the probability of the occurrence of the other.
Statistic (note there is no 's' at the end)
Independent events
p value left tail
Frequency histogram
44. Capital sigma; summation
S
Numerical measurement describing some characteristic of a sample.
Disjoint event
The 3 measures of variation
45. A method of data collection in which the objects of study are observed in their natural settings and the variables are recorded
Strata sampling
Population
Observational study
Self-selected sample
46. Range - standard deviation and variance.
Population
The 3 measures of variation
H0
Sampling
47. 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
Alpha (a)
p
H0
Discrete numerical data
48. Is a collection of several data pertaining to one or more variables
Data Set
q
s
Bias
49. Uses numerical and or visual techniques to summarize or describe the data in a clear effective manner
Census
Descriptive Statistics
Dot plots
Representative Sample
50. Before they are arranged or analyzed - information or observations are called________.
p
Raw Data
range
Inferential Statistics