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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. A number that is used to describe a characteristic of a sample - such as a sample average - is called a __________.
x
Percentile
Statistic
p value left tail
2. Has the same shape and horizontal scale as a histogram - but the vertical scale is marked with relative frequencies instead of actual frequencies
Random Sample or Probability Sample
Relative frequency histogram
Discrete numerical data
Dot plots
3. Is the portion of the population that is selected for study
Sample
Independent events
Parameter
Parameter
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
Median
Sample
Frequency histogram
Raw Data
5. Is the entire collection of all individuals or objects of interest
Parameter
Population
Independent events
Statistic
6. Population variance
Statistic (note there is no 's' at the end)
The effect of extreme values on the measures of center
s2
Data Set
7. A survey that includes every item or individual of the population
Stem and leaf plots
Census
Frequency histogram
8. The important aspects of the data are called?
Self-selected sample
Cluster sampling
Characteristic of a distribution
Distribution
9. Is denoted by 'N' - is the number of data values in the population
Population Size
Data
The 2 measures of relative standing
Categorical Variable
10. 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
Stem-and-Leaf display
Alpha (a)
H1
Categorical Variable
11. A descriptive tool used to visually describe the characteristics and relationships of collections of data quickly and attractively
Outlier
Ratio
Graph
Representative Sample
12. A method in which you randomly choose one number from 'l' to 'k' and continue to select the kth element
Systematic sampling
Sample
Symmetric Distribution
Independent events
13. Type II error is measured
Sample Variance
p
Relative frequency histogram
14. 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
Dependent events
H0
Disjoint event
15. Members of the population select themselves by volunteering
Statistic (note there is no 's' at the end)
Self-selected sample
The 4 measures of center
16. Create a sample by using data from population members that are readily available
Numerical Variable
Convenience sampling
s2
S x
17. Sample size or number of trials
Symmetric Distribution
n
Population
Distribution
18. 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
N
Exploratory data analysis
Nominal
Distribution
19. Is a number that describes a characteristic of a population
Distribution
Parameter
Median
The effect of extreme values on the measures of center
20. Always use a equal symbol
s2
What symbol must always be found in H0
Graph
Population Size
21. Double the answer from step 1 or step 2 (on whichever side your test statistics falls).
p value two tailed test
Categorical Variable
Center of Distribution
Ordinal
22. An efficient method of graphing information using actual amounts: clusters - gaps - outliers are clearly identified.
Statistic
Stem and leaf plots
Exploratory data analysis
Bias
23. (largest data value) - (smallest data value)
Statistic (note there is no 's' at the end)
s
Symmetric Distribution
range
24. Mean - mode - median and midrange.
The 4 measures of center
p
Sample
Distribution
25. Using graphs and numerical summaries to describe variables in a data set and their relationship
range
Bias
Survey
Exploratory data analysis
26. Population is organized into groups (i.e - neighborhoods/departments) - and sampling unit is selected by a simple random sample
Numerical Variable
Observational study
s
Cluster sampling
27. Sample proportion
Distribution
p value right tail
p
Bias
28. 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
Characteristic of a distribution
Raw Data
Alpha (a)
29. A method of data collection where the researcher selects a sample from the population and measures the variable of interest
Self-selected sample
Nominal
Dot plots
Survey
30. Mu; population mean
Numerical measurement describing some characteristic of a sample.
Range
Symmetric Distribution
31. A subset of the population- it's important to choose a sample at random to avoid bias in the results
Sample
p value right tail
What symbol must always be found in H0
32. 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
Stem and leaf plots
Strata sampling
Statistics
Symmetric Distribution
33. A collection of individuals about which we want to draw conclusions
Population
Raw Data
Survey
34. Complement of p
Exploratory data analysis
Symmetric Distribution
q
Continuous Data
35. Before they are arranged or analyzed - information or observations are called________.
Statistic
s
Raw Data
Stem-and-Leaf display
36. Square the standard deviation and to find the population variance square of the population standard deviation
Census
Center of Distribution
Sample Variance
Numerical measurement describing some characteristics of a population.
37. Is a number that describes a characteristic of a sample
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38. To divide the population into 2 or more non-overlapping subsets called strata
Strata sampling
Variable
Distribution
The 4 measures of center
39. A flaw in the sampling procedure that makes it more likely that the sample will NOT be representative of population
Bias
Data Set
Population
H0
40. Sum of the values
H0
Center of Distribution
S x
The 2 measures of relative standing
41. Uses numerical and or visual techniques to summarize or describe the data in a clear effective manner
Representative Sample
Categorical Variable
Descriptive Statistics
Numerical measurement describing some characteristics of a population.
42. For a left tailed test use normalcdf(-999 - ZTS)
Convenience sampling
s
p value left tail
Ratio
43. 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
Representative Sample
Exploratory data analysis
Systematic sampling
Simple Random Sample
44. 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
Convenience sampling
H0
Ordinal
Systematic sampling
45. Probability of event A
Population Size
Convenience sampling
Sample
P(A)
46. Test use normalcdf(ZTS -999)
Bias
S
p value right tail
The 3 measures of variation
47. Alternative hypothesis
Dot plots
H1
Frequency histogram
The 3 measures of variation
48. 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
s
Numerical measurement describing some characteristics of a population.
Outliers
Designed experiment
49. Represents categories - and is nonnumerical in nature
Categorical Variable
P(A)
The effect of extreme values on the measures of center
Statistic (note there is no 's' at the end)
50. Information about individuals in a population
p value right tail
Population
Data
The effect of extreme values on the measures of center