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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. Involves the procedures associated with the data collection process - the summarizing and interpretation of data - and the drawing of inferences or conclusions based on the analysis of the data
H0
Statistics
What symbol must always be found in H0
H1
2. Sample mean
Numerical measurement describing some characteristic of a sample.
x
Numerical Variable
Continuous Data
3. 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
Distribution
Symmetric Distribution
The 2 measures of relative standing
Numerical measurement describing some characteristics of a population.
4. 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
Alpha (a)
The 3 measures of variation
Median
Data Set
5. To find the range subtract the lowest value by the highest value.
Variable
Designed experiment
Range
p
6. 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
Representative Sample
Census
Skewed Distribution
Statistic (note there is no 's' at the end)
7. Type of information - usually a property of characteristic of a person or thing that is measured or observed
Center of Distribution
Variable
Representative Sample
Percentile
8. A flaw in the sampling procedure that makes it more likely that the sample will NOT be representative of population
The 4 measures of center
Bias
Descriptive Statistics
Symmetric Distribution
9. Variable where the value is a number that results from a measurement process - also called numerical data
Frequency histogram
Survey
Discrete numerical data
Numerical Variable
10. 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
Ratio
Outliers
Observational study
Bias
11. Type of bar graph that shows frequency distributions
Convenience sampling
Descriptive Statistics
Categorical Variable
Frequency histogram
12. Sample standard deviation
s
p
Relative frequency histogram
s2
13. Statistics
p
Categorical Variable
Pictograph
Numerical measurement describing some characteristic of a sample.
14. Capital sigma; summation
Alpha (a)
S
Sample
Stem-and-Leaf display
15. Is denoted by 'n' - is the number of data values in the sample
Sample Size
Statistic
Skewed Distribution
Frequency histogram
16. 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)
n
Dependent events
Categorical Variable
17. 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
Ordinal
Skewed Distribution
Stem-and-Leaf display
Sample Size
18. For a left tailed test use normalcdf(-999 - ZTS)
Relative frequency histogram
Distribution
Data
p value left tail
19. 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
Numerical measurement describing some characteristics of a population.
Relative frequency histogram
Percentile
20. A number that is used to describe a characteristic of a sample - such as a sample average - is called a __________.
Stem and leaf plots
Statistic
Census
Bias
21. A method in which you randomly choose one number from 'l' to 'k' and continue to select the kth element
P(A)
The 2 measures of relative standing
Systematic sampling
Census
22. An individual data value which lies far (above or below) from most or all of the other data values within a distribution
Pictograph
Simple random sample
Outlier
23. Mean - mode - median and midrange.
Characteristic of a distribution
Survey
The 4 measures of center
Skewed Distribution
24. A collection of individuals about which we want to draw conclusions
Population
Exploratory data analysis
Random Sample or Probability Sample
Bias
25. To calculate the percentile take the number of values less than x - divide by total number of values and times by 100.
p
Statistics
Data Set
Percentile
26. Is the portion of the population that is selected for study
Sample
Nominal
p value right tail
Discrete Data
27. Occur when one does not affect the probability of the occurrence of the other.
S x
Stem-and-Leaf display
Independent events
Survey
28. A method of data collection in which the objects of study are observed in their natural settings and the variables are recorded
Statistic
Statistic
Census
Observational study
29. Sum of the values
Numerical measurement describing some characteristics of a population.
Nominal
S x
Independent events
30. Mu; population mean
s
Numerical measurement describing some characteristics of a population.
Sampling
31. To divide the population into 2 or more non-overlapping subsets called strata
Descriptive Statistics
Bias
Strata sampling
s2
32. Always use a equal symbol
Range
What symbol must always be found in H0
Distribution
Simple random sample
33. Population size
Population
Symmetric Distribution
N
s
34. Parameter
Numerical measurement describing some characteristic of a sample.
Numerical measurement describing some characteristics of a population.
Survey
Statistic
35. Collection of information from the whole population
Census
Continuous Data
Sample Variance
Outlier
36. Population proportion
p
Graph
Census
Distribution
37. Is the process of selecting a portion - or sample - of the entire population
p value left tail
Discrete Data
Data
Sampling
38. Is the entire collection of all individuals or objects of interest
Census
Parameter
Survey
Population
39. Null hypothesis
H0
Simple random sample
s
Numerical measurement describing some characteristic of a sample.
40. Occur when one of them affects the probability of the other.
p value left tail
Systematic sampling
Dependent events
Interval
41. Is denoted by 'N' - is the number of data values in the population
N
Ratio
Population Size
Symmetric Distribution
42. An efficient method of graphing information using actual amounts: clusters - gaps - outliers are clearly identified.
Random Sample or Probability Sample
Parameter
Stem and leaf plots
Discrete numerical data
43. A method of data collection where the researcher selects a sample from the population and measures the variable of interest
Statistic (note there is no 's' at the end)
Observational study
Survey
p value right tail
44. 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
Dot plots
p value left tail
Simple random sample
Sample
45. _______________ 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
Sample Variance
Distribution
Parameter
Statistic (note there is no 's' at the end)
46. A survey that includes every item or individual of the population
Census
H0
Disjoint event
The effect of extreme values on the measures of center
47. Members of the population select themselves by volunteering
Categorical Variable
Self-selected sample
n
Inferential Statistics
48. A descriptive tool used to visually describe the characteristics and relationships of collections of data quickly and attractively
Characteristic of a distribution
Dot plots
Population
Graph
49. One extreme value can affect it dramatically.
S x
The effect of extreme values on the measures of center
Pictograph
p value left tail
50. Is a number that describes a characteristic of a sample