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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
Sample
x
Systematic sampling
What symbol must always be found in H0
2. Population is organized into groups (i.e - neighborhoods/departments) - and sampling unit is selected by a simple random sample
Ratio
H0
Cluster sampling
H1
3. Is the process of using SAMPLE INFORMATION to draw inferences or conclusions about the POPULATION
Inferential Statistics
Discrete numerical data
Continuous Data
Sample
4. A survey that includes every item or individual of the population
Parameter
q
Observational study
Census
5. Before they are arranged or analyzed - information or observations are called________.
Population
Raw Data
Numerical measurement describing some characteristics of a population.
H1
6. A collection of individuals about which we want to draw conclusions
Census
p value left tail
Population
7. 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).
Census
Interval
Independent events
Center of Distribution
8. Disjoint events cannot overlap. They are mutually exclusive if they cannot occur at the same time.
Disjoint event
Dot plots
H0
Frequency
9. Variable where the value is a number that results from a measurement process - also called numerical data
Survey
Numerical Variable
Simple Random Sample
Systematic sampling
10. Always use a equal symbol
What symbol must always be found in H0
Continuous Data
Percentile
11. 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.
Percentile
Alpha (a)
Data
Pictograph
12. Is a sample that has the pertinent characteristics of the population in the same proportion - as they are included in that population
The effect of extreme values on the measures of center
Representative Sample
Symmetric Distribution
Descriptive Statistics
13. An efficient method of graphing information using actual amounts: clusters - gaps - outliers are clearly identified.
Population Size
Convenience sampling
Survey
Stem and leaf plots
14. Using graphs and numerical summaries to describe variables in a data set and their relationship
N
Representative Sample
Statistics
Exploratory data analysis
15. Sum of the values
Interval
S x
Center of Distribution
Symmetric Distribution
16. A method of data collection in which the objects of study are observed in their natural settings and the variables are recorded
Discrete numerical data
Stem-and-Leaf display
Observational study
Representative Sample
17. To divide the population into 2 or more non-overlapping subsets called strata
x
Dependent events
Strata sampling
Exploratory data analysis
18. Has the same shape and horizontal scale as a histogram - but the vertical scale is marked with relative frequencies instead of actual frequencies
Observational study
Statistic
Relative frequency histogram
Population
19. Complement of p
Numerical measurement describing some characteristic of a sample.
Numerical measurement describing some characteristics of a population.
The 4 measures of center
q
20. Population size
Survey
Variable
N
p
21. Is denoted by 'n' - is the number of data values in the sample
H0
Raw Data
Ordinal
Sample Size
22. The number of times each data value occurs
Inferential Statistics
q
Frequency
Simple random sample
23. Represents categories - and is nonnumerical in nature
Representative Sample
Categorical Variable
Nominal
Inferential Statistics
24. 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
Random Sample or Probability Sample
Survey
Raw Data
Frequency histogram
25. 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
Dot plots
Sample
Statistics
Ordinal
26. 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)
Self-selected sample
Stem and leaf plots
Strata sampling
27. _______________ are numerical values that can assume only a limited number of values
p value right tail
Discrete Data
x
Sample Variance
28. The pattern of variation of data. The distribution may be described as symmetrical - positively skewed - or negatively skewed
Distribution
Stem and leaf plots
Sample Variance
Representative Sample
29. A method in which you randomly choose one number from 'l' to 'k' and continue to select the kth element
Ratio
Systematic sampling
H1
Discrete Data
30. The important aspects of the data are called?
Exploratory data analysis
Frequency histogram
Characteristic of a distribution
Data Set
31. Can be used to get an initial graphical view of data
Stem and leaf plots
The 3 measures of variation
Dot plots
32. Sample size or number of trials
Dot plots
n
Representative Sample
s
33. 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
s
Variable
Stem-and-Leaf display
Pictograph
34. 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
Descriptive Statistics
Alpha (a)
Center of Distribution
Skewed Distribution
35. Mu; population mean
Disjoint event
Cluster sampling
Median
36. Double the answer from step 1 or step 2 (on whichever side your test statistics falls).
Frequency
p value two tailed test
Numerical measurement describing some characteristics of a population.
Inferential Statistics
37. 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
H1
Bias
s
Symmetric Distribution
38. Is the process of selecting a portion - or sample - of the entire population
Sampling
Statistic (note there is no 's' at the end)
Representative Sample
Outlier
39. Collection of information from the whole population
Census
H0
Distribution
Population Size
40. 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
Population Size
Bias
Outliers
Nominal
41. Sample proportion
Sample Size
Alpha (a)
p
Sample Variance
42. Alternative hypothesis
Continuous Data
Variable
What symbol must always be found in H0
H1
43. Is a number that describes a characteristic of a sample
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44. (largest data value) - (smallest data value)
Graph
Systematic sampling
range
Percentile
45. Population proportion
s2
p
Designed experiment
Variable
46. Capital sigma; summation
Inferential Statistics
Statistic
S
47. 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
N
The 4 measures of center
Outliers
Median
48. Uses numerical and or visual techniques to summarize or describe the data in a clear effective manner
Descriptive Statistics
Percentile
Random Sample or Probability Sample
Representative Sample
49. Lowercase sigma; population standard deviaition
Population Size
s
Random Sample or Probability Sample
Numerical measurement describing some characteristics of a population.
50. A descriptive tool used to visually describe the characteristics and relationships of collections of data quickly and attractively
Survey
Graph
The 3 measures of variation
Median
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