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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. Sample mean
Representative Sample
Stem and leaf plots
S x
x
2. A numerical quantity measuring some aspect of the population
P(A)
Parameter
Statistics
Exploratory data analysis
3. Capital sigma; summation
S
Range
Systematic sampling
Simple Random Sample
4. A quantity calculated from data gathered from a sample- usually used to estimate a population parameter
Sample Variance
Dependent events
Sample
Statistic
5. 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
Convenience sampling
The 2 measures of relative standing
Simple Random Sample
Parameter
6. The important aspects of the data are called?
p value right tail
q
Characteristic of a distribution
Parameter
7. Is the process of selecting a portion - or sample - of the entire population
Cluster sampling
Pictograph
Sampling
H1
8. 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
s2
Statistics
p value right tail
x
9. Is a number that describes a characteristic of a population
Representative Sample
q
Dependent events
Parameter
10. A survey that includes every item or individual of the population
Census
Symmetric Distribution
Ratio
Sample Variance
11. Alternative hypothesis
Census
H1
Outlier
Median
12. A method of experimentation in which you can control as many variables as possible in order to isolate the effects of a response variable
Graph
Sampling
Designed experiment
Skewed Distribution
13. Range - standard deviation and variance.
Symmetric Distribution
S
The 3 measures of variation
The 2 measures of relative standing
14. Collection of information from the whole population
Exploratory data analysis
Statistics
x
Census
15. Determine the location of the middle value of all the data values
Observational study
Center of Distribution
p
The 4 measures of center
16. The variable value can be represented as isolated points on a number line
x
Discrete numerical data
Representative Sample
Alpha (a)
17. 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
Range
Stem-and-Leaf display
N
Exploratory data analysis
18. The pattern of variation of data. The distribution may be described as symmetrical - positively skewed - or negatively skewed
Distribution
Population Size
Independent events
Interval
19. Mu; population mean
Sample
Self-selected sample
Graph
20. Sample size or number of trials
The 2 measures of relative standing
The effect of extreme values on the measures of center
n
Dot plots
21. A subset of the population- it's important to choose a sample at random to avoid bias in the results
Sample
Percentile
Population
s2
22. Is a collection of several data pertaining to one or more variables
Data
Data Set
Representative Sample
Frequency histogram
23. Type II error is measured
Simple Random Sample
p
Distribution
24. Probability of event A
n
Independent events
Symmetric Distribution
P(A)
25. A flaw in the sampling procedure that makes it more likely that the sample will NOT be representative of population
Bias
p value right tail
Independent events
Parameter
26. Is the entire collection of all individuals or objects of interest
Distribution
Numerical measurement describing some characteristics of a population.
Systematic sampling
Population
27. Is denoted by 'n' - is the number of data values in the sample
Population Size
Sample Size
s2
S
28. 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
Numerical Variable
Alpha (a)
H1
Disjoint event
29. Lowercase sigma; population standard deviaition
Systematic sampling
s
Survey
Dot plots
30. (largest data value) - (smallest data value)
P(A)
range
Convenience sampling
Systematic sampling
31. _______________ are numerical values that can assume only a limited number of values
Parameter
Dot plots
Discrete Data
Statistic (note there is no 's' at the end)
32. Mean - mode - median and midrange.
Designed experiment
Graph
The 4 measures of center
Symmetric Distribution
33. Population is organized into groups (i.e - neighborhoods/departments) - and sampling unit is selected by a simple random sample
Cluster sampling
The 3 measures of variation
The 2 measures of relative standing
The 4 measures of center
34. For a left tailed test use normalcdf(-999 - ZTS)
Numerical measurement describing some characteristics of a population.
p value left tail
Variable
n
35. Is the portion of the population that is selected for study
Graph
Sample
Simple Random Sample
Distribution
36. Population size
Simple random sample
p value left tail
N
Descriptive Statistics
37. An individual data value which lies far (above or below) from most or all of the other data values within a distribution
q
Cluster sampling
Simple random sample
Outlier
38. Occur when one does not affect the probability of the occurrence of the other.
Independent events
Stem and leaf plots
p value left tail
Statistics
39. Occur when one of them affects the probability of the other.
Relative frequency histogram
Dependent events
Representative Sample
p value right tail
40. Information about individuals in a population
Alpha (a)
Data
Ratio
Raw Data
41. 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
Designed experiment
Population Size
Data Set
Symmetric Distribution
42. Is a sample containing similar characteristics of the population
Representative Sample
q
s2
Sample
43. Double the answer from step 1 or step 2 (on whichever side your test statistics falls).
Sampling
p value two tailed test
What symbol must always be found in H0
Distribution
44. Level of measurement- Is like the ordinal level - with the additional property that we can determine meaningful amounts of differences between data. However - there is no inherent (natural) zero starting point (where none of the quantity is present).
Random Sample or Probability Sample
Survey
s
Interval
45. Type of information - usually a property of characteristic of a person or thing that is measured or observed
Frequency
Data Set
range
Variable
46. One extreme value can affect it dramatically.
Percentile
Ordinal
The effect of extreme values on the measures of center
Disjoint event
47. 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
Random Sample or Probability Sample
Skewed Distribution
H0
Symmetric Distribution
48. A collection of individuals about which we want to draw conclusions
Population
Parameter
Statistic
Skewed Distribution
49. 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.
Sampling
Characteristic of a distribution
Pictograph
50. A method in which you randomly choose one number from 'l' to 'k' and continue to select the kth element
Designed experiment
Alpha (a)
Systematic sampling