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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
Frequency histogram
P(A)
x
Random Sample or Probability Sample
2. Disjoint events cannot overlap. They are mutually exclusive if they cannot occur at the same time.
s
s
Numerical measurement describing some characteristics of a population.
Disjoint event
3. Is a number that describes a characteristic of a sample
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4. A descriptive tool used to visually describe the characteristics and relationships of collections of data quickly and attractively
Stem-and-Leaf display
Interval
Population
Graph
5. A numerical quantity measuring some aspect of the population
Survey
Parameter
Convenience sampling
S x
6. Is the portion of the population that is selected for study
P(A)
Pictograph
Sample
Numerical measurement describing some characteristics of a population.
7. Sum of the values
Alpha (a)
Symmetric Distribution
S x
Nominal
8. 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
Survey
Ratio
Stem and leaf plots
9. A method in which you randomly choose one number from 'l' to 'k' and continue to select the kth element
Raw Data
Survey
Systematic sampling
10. The important aspects of the data are called?
The 3 measures of variation
Characteristic of a distribution
Population
Symmetric Distribution
11. Probability of event A
Discrete Data
Data
Designed experiment
P(A)
12. 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
Strata sampling
Representative Sample
Outliers
Census
13. A method of experimentation in which you can control as many variables as possible in order to isolate the effects of a response variable
Alpha (a)
Designed experiment
Dot plots
Self-selected sample
14. Sample variance
Census
The effect of extreme values on the measures of center
Numerical Variable
s2
15. Is a sample containing similar characteristics of the population
Representative Sample
Inferential Statistics
Interval
Continuous Data
16. Capital sigma; summation
range
Designed experiment
S
Simple Random Sample
17. Test use normalcdf(ZTS -999)
p
Parameter
p value right tail
Frequency
18. To find the range subtract the lowest value by the highest value.
Frequency histogram
Range
Parameter
Simple Random Sample
19. To divide the population into 2 or more non-overlapping subsets called strata
Strata sampling
Parameter
The 3 measures of variation
Parameter
20. Uses numerical and or visual techniques to summarize or describe the data in a clear effective manner
Skewed Distribution
Random Sample or Probability Sample
Descriptive Statistics
Dependent events
21. An individual data value which lies far (above or below) from most or all of the other data values within a distribution
Population
Outlier
The 2 measures of relative standing
Census
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
Statistics
p
Systematic sampling
n
23. 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
Outliers
Frequency histogram
Numerical measurement describing some characteristics of a population.
Stem-and-Leaf display
24. 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
The effect of extreme values on the measures of center
Skewed Distribution
Categorical Variable
Median
25. Range - standard deviation and variance.
Strata sampling
The 3 measures of variation
Data Set
Sample
26. A method of data collection in which the objects of study are observed in their natural settings and the variables are recorded
Sample
Discrete numerical data
p value left tail
Observational study
27. Mean - mode - median and midrange.
The 4 measures of center
Independent events
Inferential Statistics
N
28. Population variance
s2
Characteristic of a distribution
Sample
Stem-and-Leaf display
29. Members of the population select themselves by volunteering
p value right tail
Population
Sample Variance
Self-selected sample
30. Mu; population mean
Statistic (note there is no 's' at the end)
Bias
p
31. Create a sample by using data from population members that are readily available
Data Set
Self-selected sample
Convenience sampling
Distribution
32. The number of times each data value occurs
Frequency
Pictograph
Frequency histogram
Convenience sampling
33. Represents categories - and is nonnumerical in nature
x
Categorical Variable
Numerical measurement describing some characteristic of a sample.
Sample Variance
34. _______________ are numerical values that can assume only a limited number of values
Categorical Variable
Discrete Data
Percentile
Statistic
35. Before they are arranged or analyzed - information or observations are called________.
Raw Data
x
Simple Random Sample
Population
36. Is the entire collection of all individuals or objects of interest
Census
Dependent events
Percentile
Population
37. Standard scores and percentile
s
The 2 measures of relative standing
Systematic sampling
38. Information about individuals in a population
Distribution
Data
Continuous Data
Skewed Distribution
39. Is denoted by 'n' - is the number of data values in the sample
Census
Survey
Sample Size
Stem and leaf plots
40. The variable value can be represented as isolated points on a number line
Discrete numerical data
Strata sampling
Population
Designed experiment
41. Determine the location of the middle value of all the data values
Center of Distribution
Median
S
What symbol must always be found in H0
42. Lowercase sigma; population standard deviaition
Population
Characteristic of a distribution
Self-selected sample
s
43. A survey that includes every item or individual of the population
N
Census
Sample Variance
Disjoint event
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
Stem and leaf plots
x
Ordinal
Symmetric Distribution
45. 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)
Center of Distribution
Range
Convenience sampling
46. 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
Sample
Simple Random Sample
Statistic
s2
47. To calculate the percentile take the number of values less than x - divide by total number of values and times by 100.
Discrete numerical data
s2
Percentile
Frequency
48. Can be used to get an initial graphical view of data
Dot plots
Sample
Representative Sample
Data Set
49. A collection of individuals about which we want to draw conclusions
Numerical Variable
Data Set
Categorical Variable
Population
50. Parameter
Numerical measurement describing some characteristics of a population.
Simple Random Sample
Dependent events
Exploratory data analysis