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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. Lowercase sigma; population standard deviaition
Alpha (a)
Dependent events
s
Statistic (note there is no 's' at the end)
2. Population is organized into groups (i.e - neighborhoods/departments) - and sampling unit is selected by a simple random sample
Representative Sample
Statistic
Parameter
Cluster sampling
3. A descriptive tool used to visually describe the characteristics and relationships of collections of data quickly and attractively
Graph
Designed experiment
Independent events
Sample Size
4. Before they are arranged or analyzed - information or observations are called________.
Stem and leaf plots
Raw Data
Inferential Statistics
Range
5. 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
Ordinal
Symmetric Distribution
Bias
6. Population size
N
Exploratory data analysis
Population
p value left tail
7. Variable where the value is a number that results from a measurement process - also called numerical data
q
Discrete numerical data
Parameter
Numerical Variable
8. Is denoted by 'N' - is the number of data values in the population
Data
Population Size
N
The 2 measures of relative standing
9. Type of bar graph that shows frequency distributions
Frequency histogram
Bias
Stem and leaf plots
Representative Sample
10. Is denoted by 'n' - is the number of data values in the sample
Sample Size
Center of Distribution
Descriptive Statistics
Characteristic of a distribution
11. Is the entire collection of all individuals or objects of interest
p value left tail
Numerical measurement describing some characteristics of a population.
Stem and leaf plots
Population
12. Null hypothesis
p
H0
Outlier
N
13. A survey that includes every item or individual of the population
S x
Survey
Outliers
Census
14. Is a sample containing similar characteristics of the population
Outliers
Distribution
Representative Sample
p value two tailed test
15. The variable value can be represented as isolated points on a number line
Survey
Disjoint event
Discrete numerical data
Simple Random Sample
16. Uses numerical and or visual techniques to summarize or describe the data in a clear effective manner
Descriptive Statistics
Numerical measurement describing some characteristics of a population.
Symmetric Distribution
Data
17. Complement of p
Statistic
Exploratory data analysis
Representative Sample
q
18. One extreme value can affect it dramatically.
Ratio
What symbol must always be found in H0
The effect of extreme values on the measures of center
Interval
19. 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
Nominal
Bias
The 4 measures of center
Interval
20. Sample size or number of trials
n
Continuous Data
The 3 measures of variation
Simple random sample
21. Standard scores and percentile
Sample Variance
Data
Parameter
The 2 measures of relative standing
22. 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
p
Survey
H0
23. A method in which you randomly choose one number from 'l' to 'k' and continue to select the kth element
Systematic sampling
Data Set
Data
What symbol must always be found in H0
24. A method of data collection in which the objects of study are observed in their natural settings and the variables are recorded
range
Dot plots
x
Observational study
25. Disjoint events cannot overlap. They are mutually exclusive if they cannot occur at the same time.
s
Relative frequency histogram
Disjoint event
The 2 measures of relative standing
26. Square the standard deviation and to find the population variance square of the population standard deviation
Ratio
Alpha (a)
Distribution
Sample Variance
27. Collection of information from a sample
Survey
Data Set
What symbol must always be found in H0
28. A subset of the population- it's important to choose a sample at random to avoid bias in the results
Statistic
Census
H0
Sample
29. Double the answer from step 1 or step 2 (on whichever side your test statistics falls).
Representative Sample
Raw Data
p value two tailed test
Numerical measurement describing some characteristic of a sample.
30. Determine the location of the middle value of all the data values
The effect of extreme values on the measures of center
Center of Distribution
Cluster sampling
Discrete Data
31. An efficient method of graphing information using actual amounts: clusters - gaps - outliers are clearly identified.
Variable
What symbol must always be found in H0
Stem and leaf plots
Representative Sample
32. Information about individuals in a population
Range
Data
The 3 measures of variation
Interval
33. Always use a equal symbol
Continuous Data
Survey
What symbol must always be found in H0
Nominal
34. _______________ 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
Census
Symmetric Distribution
Distribution
The 3 measures of variation
35. Type of information - usually a property of characteristic of a person or thing that is measured or observed
s
Variable
range
s2
36. 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).
Interval
range
Relative frequency histogram
Strata sampling
37. 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
Discrete Data
Random Sample or Probability Sample
p
Range
38. A method of experimentation in which you can control as many variables as possible in order to isolate the effects of a response variable
Interval
Outliers
Designed experiment
Percentile
39. _______________ are numerical measurements that can assume any value between two numbers
Disjoint event
Census
Continuous Data
Cluster sampling
40. 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
Inferential Statistics
Simple Random Sample
Distribution
Census
41. The pattern of variation of data. The distribution may be described as symmetrical - positively skewed - or negatively skewed
Distribution
Survey
Numerical measurement describing some characteristic of a sample.
H1
42. Population proportion
Sample
p
Representative Sample
Graph
43. Mean - mode - median and midrange.
Population Size
Continuous Data
The 4 measures of center
Stem-and-Leaf display
44. 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
Variable
Statistic (note there is no 's' at the end)
Ratio
Numerical measurement describing some characteristics of a population.
45. (largest data value) - (smallest data value)
Stem and leaf plots
p value right tail
Variable
range
46. Is the process of using SAMPLE INFORMATION to draw inferences or conclusions about the POPULATION
Sampling
Inferential Statistics
Symmetric Distribution
Ordinal
47. Can be used to get an initial graphical view of data
Representative Sample
The 4 measures of center
Dot plots
P(A)
48. Has the same shape and horizontal scale as a histogram - but the vertical scale is marked with relative frequencies instead of actual frequencies
Relative frequency histogram
Representative Sample
Stem-and-Leaf display
Population
49. A flaw in the sampling procedure that makes it more likely that the sample will NOT be representative of population
Statistics
Bias
p value two tailed test
Census
50. Is a number that describes a characteristic of a sample
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