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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. 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
Descriptive Statistics
Statistics
Representative Sample
n
2. 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
Disjoint event
Inferential Statistics
The 3 measures of variation
Median
3. Range - standard deviation and variance.
Continuous Data
Strata sampling
The 3 measures of variation
Symmetric Distribution
4. The pattern of variation of data. The distribution may be described as symmetrical - positively skewed - or negatively skewed
The effect of extreme values on the measures of center
The 2 measures of relative standing
Numerical measurement describing some characteristics of a population.
Distribution
5. Collection of information from the whole population
Numerical measurement describing some characteristic of a sample.
Convenience sampling
Random Sample or Probability Sample
Census
6. A method in which each combination of people has an equal chance of being selected- the sample is representative of the population and is independent
Sample Size
Population
Simple random sample
H1
7. When the distribution of the data values tend to be concentrated toward one end of the display or tail of the distribution - while the data values in the other tail are spread out through extreme values resulting in a longer tail
Skewed Distribution
Disjoint event
Categorical Variable
Census
8. Sum of the values
Continuous Data
Nominal
H1
S x
9. Parameter
Representative Sample
s
Strata sampling
Numerical measurement describing some characteristics of a population.
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
p
Alpha (a)
Sample
Discrete numerical data
11. (largest data value) - (smallest data value)
range
Independent events
Numerical measurement describing some characteristic of a sample.
Statistic
12. 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).
q
Interval
Skewed Distribution
Disjoint event
13. 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
q
Dependent events
Relative frequency histogram
14. Is the portion of the population that is selected for study
Sample
Center of Distribution
p value right tail
Discrete Data
15. Variable where the value is a number that results from a measurement process - also called numerical data
Bias
Dependent events
Numerical Variable
16. Population proportion
p
n
Inferential Statistics
Sample
17. _______________ of a numerical variable represents the data values of the variable from the lowest to the highest value along with the number of times each data value occurs
Independent events
Distribution
S
Data
18. 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
Dependent events
Outliers
Convenience sampling
Distribution
19. Has the same shape and horizontal scale as a histogram - but the vertical scale is marked with relative frequencies instead of actual frequencies
q
Observational study
H1
Relative frequency histogram
20. Type II error is measured
Survey
Sample Variance
Outliers
21. The variable value can be represented as isolated points on a number line
Discrete numerical data
Dependent events
The 2 measures of relative standing
Stem-and-Leaf display
22. One extreme value can affect it dramatically.
Center of Distribution
The effect of extreme values on the measures of center
Survey
s
23. A method of data collection in which the objects of study are observed in their natural settings and the variables are recorded
Population
Designed experiment
Observational study
Variable
24. Is a sample that has the pertinent characteristics of the population in the same proportion - as they are included in that population
Continuous Data
Representative Sample
Cluster sampling
N
25. Mu; population mean
Range
Descriptive Statistics
S x
26. The number of times each data value occurs
p
Frequency
Dot plots
x
27. Create a sample by using data from population members that are readily available
Numerical measurement describing some characteristics of a population.
Statistics
P(A)
Convenience sampling
28. A descriptive tool used to visually describe the characteristics and relationships of collections of data quickly and attractively
S x
Sampling
Outlier
Graph
29. Is denoted by 'n' - is the number of data values in the sample
What symbol must always be found in H0
Variable
Sample Size
The 4 measures of center
30. Complement of p
Interval
Characteristic of a distribution
Self-selected sample
q
31. To calculate the percentile take the number of values less than x - divide by total number of values and times by 100.
n
Percentile
Median
Ratio
32. Is the entire collection of all individuals or objects of interest
Population
H0
Parameter
p value two tailed test
33. Using graphs and numerical summaries to describe variables in a data set and their relationship
Distribution
Representative Sample
Exploratory data analysis
Outlier
34. Collection of information from a sample
Survey
Symmetric Distribution
Population Size
The 3 measures of variation
35. Information about individuals in a population
Descriptive Statistics
Population
Data
Alpha (a)
36. A flaw in the sampling procedure that makes it more likely that the sample will NOT be representative of population
Bias
The effect of extreme values on the measures of center
Observational study
Statistics
37. Double the answer from step 1 or step 2 (on whichever side your test statistics falls).
Independent events
Alpha (a)
p value two tailed test
s
38. Lowercase sigma; population standard deviaition
Sample
s
Distribution
p value left tail
39. A method in which you randomly choose one number from 'l' to 'k' and continue to select the kth element
Systematic sampling
Median
Pictograph
Population
40. 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
Bias
Statistics
Outlier
Random Sample or Probability Sample
41. To divide the population into 2 or more non-overlapping subsets called strata
The 3 measures of variation
Survey
Numerical measurement describing some characteristics of a population.
Strata sampling
42. Always use a equal symbol
Census
Sample
What symbol must always be found in H0
Numerical measurement describing some characteristics of a population.
43. Sample standard deviation
Population Size
s
Variable
Skewed Distribution
44. _______________ are numerical values that can assume only a limited number of values
Nominal
Survey
Discrete Data
What symbol must always be found in H0
45. A subset of the population- it's important to choose a sample at random to avoid bias in the results
Census
Discrete numerical data
Sample
Population Size
46. Is the process of using SAMPLE INFORMATION to draw inferences or conclusions about the POPULATION
Inferential Statistics
Disjoint event
Census
range
47. Disjoint events cannot overlap. They are mutually exclusive if they cannot occur at the same time.
Discrete numerical data
Statistic (note there is no 's' at the end)
Cluster sampling
Disjoint event
48. Population size
Distribution
Frequency
N
Dot plots
49. 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
Stem-and-Leaf display
p
Simple Random Sample
Convenience sampling
50. Sample size or number of trials
s2
Statistic (note there is no 's' at the end)
n
Descriptive Statistics