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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. Population is organized into groups (i.e - neighborhoods/departments) - and sampling unit is selected by a simple random sample
Statistic (note there is no 's' at the end)
Pictograph
Statistic
Cluster sampling
2. Range - standard deviation and variance.
Discrete numerical data
The 3 measures of variation
The effect of extreme values on the measures of center
3. 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
The 2 measures of relative standing
Graph
Variable
Random Sample or Probability Sample
4. 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
Interval
Disjoint event
Stem and leaf plots
5. A collection of individuals about which we want to draw conclusions
Population
Cluster sampling
Sample
Random Sample or Probability Sample
6. Null hypothesis
Representative Sample
Strata sampling
Frequency histogram
H0
7. The important aspects of the data are called?
Numerical measurement describing some characteristics of a population.
Stem and leaf plots
Characteristic of a distribution
s
8. Is the portion of the population that is selected for study
Sample
Discrete Data
Center of Distribution
9. Always use a equal symbol
What symbol must always be found in H0
Random Sample or Probability Sample
Simple random sample
Disjoint event
10. Determine the location of the middle value of all the data values
Center of Distribution
N
Alpha (a)
Census
11. Mean - mode - median and midrange.
Simple random sample
The 4 measures of center
Statistic (note there is no 's' at the end)
p value two tailed test
12. A numerical quantity measuring some aspect of the population
Parameter
Sample
Categorical Variable
13. Occur when one of them affects the probability of the other.
The 3 measures of variation
Numerical Variable
Survey
Dependent events
14. _______________ are numerical measurements that can assume any value between two numbers
Continuous Data
Frequency
Numerical Variable
Stem and leaf plots
15. Is denoted by 'N' - is the number of data values in the population
Population Size
Frequency
Systematic sampling
Skewed Distribution
16. Uses numerical and or visual techniques to summarize or describe the data in a clear effective manner
p value two tailed test
H0
H1
Descriptive Statistics
17. For a left tailed test use normalcdf(-999 - ZTS)
Relative frequency histogram
p value left tail
Dot plots
Statistic
18. A method of data collection where the researcher selects a sample from the population and measures the variable of interest
Ordinal
Survey
Symmetric Distribution
Frequency histogram
19. Test use normalcdf(ZTS -999)
p value right tail
Dependent events
Stem and leaf plots
Survey
20. Statistics
Representative Sample
Numerical measurement describing some characteristic of a sample.
Skewed Distribution
Graph
21. 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)
Numerical measurement describing some characteristic of a sample.
Data Set
The effect of extreme values on the measures of center
22. 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
S x
Outliers
Representative Sample
Simple random sample
23. Lowercase sigma; population standard deviaition
s
The 4 measures of center
s2
Designed experiment
24. Members of the population select themselves by volunteering
s2
q
P(A)
Self-selected sample
25. Type of information - usually a property of characteristic of a person or thing that is measured or observed
Variable
Random Sample or Probability Sample
H0
Frequency
26. 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
Population
H1
Numerical measurement describing some characteristics of a population.
Median
27. Before they are arranged or analyzed - information or observations are called________.
Ordinal
Sample Variance
Skewed Distribution
Raw Data
28. Sample standard deviation
s
Dependent events
H1
Descriptive Statistics
29. Create a sample by using data from population members that are readily available
Disjoint event
Census
Convenience sampling
P(A)
30. 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.
Raw Data
Representative Sample
Pictograph
Systematic sampling
31. Has the same shape and horizontal scale as a histogram - but the vertical scale is marked with relative frequencies instead of actual frequencies
Relative frequency histogram
Discrete Data
S
Ordinal
32. Sample variance
s2
Census
Dependent events
Representative Sample
33. The variable value can be represented as isolated points on a number line
Numerical measurement describing some characteristics of a population.
Discrete numerical data
Parameter
Population
34. Capital sigma; summation
Simple Random Sample
Frequency histogram
S
Range
35. A flaw in the sampling procedure that makes it more likely that the sample will NOT be representative of population
Census
Sample Size
Bias
Numerical measurement describing some characteristic of a sample.
36. Information about individuals in a population
Data
The effect of extreme values on the measures of center
Statistic
Numerical measurement describing some characteristic of a sample.
37. Is the process of selecting a portion - or sample - of the entire population
Sampling
s2
Population
Descriptive Statistics
38. A survey that includes every item or individual of the population
range
Variable
s
Census
39. Double the answer from step 1 or step 2 (on whichever side your test statistics falls).
p value two tailed test
p
Survey
Stem-and-Leaf display
40. Parameter
H0
Numerical measurement describing some characteristics of a population.
Disjoint event
Designed experiment
41. Is the entire collection of all individuals or objects of interest
Observational study
N
Systematic sampling
Population
42. 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
Symmetric Distribution
Descriptive Statistics
Statistics
H0
43. A descriptive tool used to visually describe the characteristics and relationships of collections of data quickly and attractively
Discrete Data
Statistics
Graph
p value left tail
44. 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
Variable
Exploratory data analysis
Skewed Distribution
Statistic (note there is no 's' at the end)
45. A number that is used to describe a characteristic of a sample - such as a sample average - is called a __________.
Population
Statistic
Cluster sampling
S
46. (largest data value) - (smallest data value)
Census
n
range
Raw Data
47. Population proportion
Distribution
Observational study
p value left tail
p
48. An efficient method of graphing information using actual amounts: clusters - gaps - outliers are clearly identified.
Stem and leaf plots
Range
Designed experiment
Parameter
49. Is a number that describes a characteristic of a population
Independent events
Systematic sampling
Parameter
Census
50. _______________ are numerical values that can assume only a limited number of values
Disjoint event
Discrete Data
Dot plots
Distribution