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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. Mu; population mean
p value right tail
Stem and leaf plots
S x
2. Determine the location of the middle value of all the data values
Disjoint event
Center of Distribution
Percentile
Dot plots
3. Alternative hypothesis
H1
Statistics
p value right tail
Independent events
4. Probability of event A
Representative Sample
Parameter
Data
P(A)
5. Can be used to get an initial graphical view of data
p value right tail
Dot plots
Continuous Data
Raw Data
6. Uses numerical and or visual techniques to summarize or describe the data in a clear effective manner
Descriptive Statistics
Distribution
Exploratory data analysis
p
7. Null hypothesis
The 4 measures of center
Ordinal
H0
Self-selected sample
8. Population size
Designed experiment
The 2 measures of relative standing
Bias
N
9. 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
Survey
S
Simple Random Sample
p
10. The pattern of variation of data. The distribution may be described as symmetrical - positively skewed - or negatively skewed
H1
Distribution
Variable
n
11. (largest data value) - (smallest data value)
Distribution
range
p value two tailed test
12. Before they are arranged or analyzed - information or observations are called________.
Range
Raw Data
s
Population
13. Double the answer from step 1 or step 2 (on whichever side your test statistics falls).
s
s2
p value two tailed test
H1
14. Capital sigma; summation
Random Sample or Probability Sample
S
Self-selected sample
Ordinal
15. 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
Median
Numerical measurement describing some characteristic of a sample.
Outlier
x
16. A method of data collection in which the objects of study are observed in their natural settings and the variables are recorded
Observational study
Statistics
n
Data
17. Test use normalcdf(ZTS -999)
Sampling
Cluster sampling
p value right tail
18. Statistics
Stem-and-Leaf display
Stem and leaf plots
Numerical measurement describing some characteristic of a sample.
19. Is denoted by 'n' - is the number of data values in the sample
Outliers
Census
Sample Size
p
20. 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
Systematic sampling
Nominal
Alpha (a)
Statistic
21. To find the range subtract the lowest value by the highest value.
Alpha (a)
Statistic (note there is no 's' at the end)
Descriptive Statistics
Range
22. 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
q
Numerical measurement describing some characteristics of a population.
Statistics
Census
23. To divide the population into 2 or more non-overlapping subsets called strata
Cluster sampling
Independent events
Ordinal
Strata sampling
24. Sum of the values
Discrete Data
Range
S x
Simple random sample
25. Is a collection of several data pertaining to one or more variables
Sample Variance
Designed experiment
s2
Data Set
26. An individual data value which lies far (above or below) from most or all of the other data values within a distribution
Outlier
Stem and leaf plots
Simple random sample
Interval
27. 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.
Census
Convenience sampling
Pictograph
Categorical Variable
28. 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
Ratio
Data Set
Outlier
The 3 measures of variation
29. Type of bar graph that shows frequency distributions
Discrete Data
Frequency
Census
Frequency histogram
30. A flaw in the sampling procedure that makes it more likely that the sample will NOT be representative of population
Convenience sampling
Ordinal
Bias
31. 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
Raw Data
Nominal
Inferential Statistics
Random Sample or Probability Sample
32. A method of data collection where the researcher selects a sample from the population and measures the variable of interest
Alpha (a)
Symmetric Distribution
The 3 measures of variation
Survey
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
Survey
Designed experiment
Statistic
H1
34. 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
Disjoint event
p value right tail
Graph
Ordinal
35. Sample variance
What symbol must always be found in H0
s2
S
Dependent events
36. Always use a equal symbol
Exploratory data analysis
s2
What symbol must always be found in H0
s
37. A method in which you randomly choose one number from 'l' to 'k' and continue to select the kth element
Representative Sample
Systematic sampling
Pictograph
Range
38. Parameter
Numerical measurement describing some characteristics of a population.
Frequency histogram
P(A)
Categorical Variable
39. A number that is used to describe a characteristic of a sample - such as a sample average - is called a __________.
Frequency
H1
Statistic
The 3 measures of variation
40. Sample mean
x
Systematic sampling
p
N
41. Is the portion of the population that is selected for study
Sample
Data
N
Alpha (a)
42. Population variance
s2
Population
S
Interval
43. Is denoted by 'N' - is the number of data values in the population
H1
Population Size
Numerical measurement describing some characteristics of a population.
Symmetric Distribution
44. Represents categories - and is nonnumerical in nature
Census
Categorical Variable
Outlier
Statistic (note there is no 's' at the end)
45. Lowercase sigma; population standard deviaition
Inferential Statistics
s2
Independent events
s
46. A descriptive tool used to visually describe the characteristics and relationships of collections of data quickly and attractively
Data Set
Sample
Disjoint event
Graph
47. Population proportion
Median
Continuous Data
p
Statistics
48. Mean - mode - median and midrange.
Frequency histogram
The 4 measures of center
Sample
Center of Distribution
49. Has the same shape and horizontal scale as a histogram - but the vertical scale is marked with relative frequencies instead of actual frequencies
Range
Relative frequency histogram
Parameter
50. Is a sample that has the pertinent characteristics of the population in the same proportion - as they are included in that population
Parameter
Representative Sample
Sample
p