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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 survey that includes every item or individual of the population
Census
Frequency histogram
Designed experiment
Range
2. 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
Statistic
Cluster sampling
Symmetric Distribution
Statistics
3. An individual data value which lies far (above or below) from most or all of the other data values within a distribution
Statistic
Outlier
Data
x
4. Always use a equal symbol
Data
Strata sampling
Random Sample or Probability Sample
What symbol must always be found in H0
5. Is the process of selecting a portion - or sample - of the entire population
Statistic (note there is no 's' at the end)
Ordinal
Parameter
Sampling
6. A flaw in the sampling procedure that makes it more likely that the sample will NOT be representative of population
Designed experiment
Variable
Independent events
Bias
7. Is the portion of the population that is selected for study
Percentile
Alpha (a)
Parameter
Sample
8. _______________ are numerical values that can assume only a limited number of values
Percentile
Discrete Data
9. Occur when one of them affects the probability of the other.
p value two tailed test
Frequency
Dependent events
Designed experiment
10. Is the entire collection of all individuals or objects of interest
Population
Relative frequency histogram
Exploratory data analysis
Dependent events
11. Occur when one does not affect the probability of the occurrence of the other.
Independent events
Sampling
s2
Ratio
12. A method of data collection where the researcher selects a sample from the population and measures the variable of interest
The 3 measures of variation
Survey
Pictograph
Sample
13. Population proportion
Self-selected sample
Descriptive Statistics
s2
p
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
range
Sample
Strata sampling
15. Population is organized into groups (i.e - neighborhoods/departments) - and sampling unit is selected by a simple random sample
Cluster sampling
Data Set
Interval
p
16. Disjoint events cannot overlap. They are mutually exclusive if they cannot occur at the same time.
S
Raw Data
Disjoint event
Statistic
17. Create a sample by using data from population members that are readily available
Survey
range
Representative Sample
Convenience sampling
18. _______________ are numerical measurements that can assume any value between two numbers
Dot plots
Representative Sample
Continuous Data
Discrete Data
19. A subset of the population- it's important to choose a sample at random to avoid bias in the results
Sample
Survey
Observational study
Representative Sample
20. The number of times each data value occurs
Frequency
Exploratory data analysis
Self-selected sample
The effect of extreme values on the measures of center
21. To calculate the percentile take the number of values less than x - divide by total number of values and times by 100.
Percentile
p
Graph
n
22. Parameter
N
Numerical measurement describing some characteristics of a population.
P(A)
s2
23. A method of experimentation in which you can control as many variables as possible in order to isolate the effects of a response variable
Distribution
Parameter
Designed experiment
Survey
24. A collection of individuals about which we want to draw conclusions
What symbol must always be found in H0
Population
Observational study
Sample
25. The important aspects of the data are called?
Distribution
Random Sample or Probability Sample
Characteristic of a distribution
Survey
26. 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
Numerical measurement describing some characteristic of a sample.
Sampling
Simple Random Sample
Interval
27. The pattern of variation of data. The distribution may be described as symmetrical - positively skewed - or negatively skewed
Percentile
What symbol must always be found in H0
Observational study
Distribution
28. Members of the population select themselves by volunteering
S x
Distribution
Self-selected sample
n
29. Mean - mode - median and midrange.
Dot plots
The 3 measures of variation
The 4 measures of center
Statistic
30. Test use normalcdf(ZTS -999)
p value right tail
p value left tail
Numerical measurement describing some characteristic of a sample.
Simple random sample
31. Is a collection of several data pertaining to one or more variables
p value right tail
Data Set
Distribution
The 4 measures of center
32. Can be used to get an initial graphical view of data
Stem-and-Leaf display
Data Set
Distribution
Dot plots
33. 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
Ordinal
Statistics
Sample Size
Nominal
34. 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
Sample
Statistic
The 2 measures of relative standing
Statistics
35. A numerical quantity measuring some aspect of the population
s
Independent events
Characteristic of a distribution
Parameter
36. Sample proportion
Outliers
p
Census
37. 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
P(A)
The effect of extreme values on the measures of center
Distribution
38. Sample mean
Survey
x
Distribution
The 2 measures of relative standing
39. Sample standard deviation
Statistic
H0
s
Representative Sample
40. A method in which you randomly choose one number from 'l' to 'k' and continue to select the kth element
Systematic sampling
Symmetric Distribution
Interval
Bias
41. Complement of p
What symbol must always be found in H0
Distribution
q
Self-selected sample
42. To find the range subtract the lowest value by the highest value.
Simple random sample
Range
Strata sampling
Sample
43. Collection of information from a sample
Outlier
Survey
Pictograph
Characteristic of a distribution
44. Capital sigma; summation
Inferential Statistics
S
Census
Descriptive Statistics
45. To divide the population into 2 or more non-overlapping subsets called strata
S x
Raw Data
Strata sampling
46. Is denoted by 'N' - is the number of data values in the population
Population Size
Descriptive Statistics
Discrete numerical data
Strata sampling
47. Standard scores and percentile
Parameter
The 2 measures of relative standing
What symbol must always be found in H0
Variable
48. Sample variance
Population
Dependent events
s2
Graph
49. A method of data collection in which the objects of study are observed in their natural settings and the variables are recorded
Observational study
Systematic sampling
Stem and leaf plots
p value left tail
50. 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
Stem and leaf plots
Sampling
x
Random Sample or Probability Sample