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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. 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
Raw Data
Dot plots
Ordinal
Independent events
2. Sum of the values
Outlier
Census
S x
Graph
3. Has the same shape and horizontal scale as a histogram - but the vertical scale is marked with relative frequencies instead of actual frequencies
H0
Distribution
Relative frequency histogram
p
4. _______________ are numerical measurements that can assume any value between two numbers
Discrete Data
Percentile
H0
Continuous Data
5. A numerical quantity measuring some aspect of the population
Parameter
Discrete numerical data
Outliers
6. Is a number that describes a characteristic of a population
Statistics
Data
Statistic
Parameter
7. Sample size or number of trials
Relative frequency histogram
n
Exploratory data analysis
Census
8. A method in which you randomly choose one number from 'l' to 'k' and continue to select the kth element
s
Exploratory data analysis
Systematic sampling
Discrete Data
9. Double the answer from step 1 or step 2 (on whichever side your test statistics falls).
p value two tailed test
Designed experiment
Numerical Variable
Categorical Variable
10. 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.
Sample
Pictograph
Random Sample or Probability Sample
11. Range - standard deviation and variance.
n
H1
Descriptive Statistics
The 3 measures of variation
12. The pattern of variation of data. The distribution may be described as symmetrical - positively skewed - or negatively skewed
Distribution
Pictograph
Center of Distribution
Outliers
13. 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
The 3 measures of variation
Simple random sample
The effect of extreme values on the measures of center
Interval
14. Members of the population select themselves by volunteering
range
What symbol must always be found in H0
Self-selected sample
Ratio
15. Type of information - usually a property of characteristic of a person or thing that is measured or observed
Independent events
s2
Dot plots
Variable
16. 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
Strata sampling
range
Sample
Ratio
17. 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
Data
Continuous Data
Skewed Distribution
Statistics
18. Variable where the value is a number that results from a measurement process - also called numerical data
range
Numerical Variable
Population Size
s
19. Square the standard deviation and to find the population variance square of the population standard deviation
Parameter
Frequency
Sample Variance
Observational study
20. Mean - mode - median and midrange.
Sampling
The 4 measures of center
Continuous Data
Statistics
21. Mu; population mean
p value left tail
Simple Random Sample
p value right tail
22. Collection of information from a sample
The 2 measures of relative standing
p value two tailed test
Survey
Sample
23. Sample mean
The 3 measures of variation
x
What symbol must always be found in H0
Strata sampling
24. 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).
p value left tail
Interval
s2
Graph
25. 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
The effect of extreme values on the measures of center
Alpha (a)
Self-selected sample
26. A quantity calculated from data gathered from a sample- usually used to estimate a population parameter
Sample
Median
Statistic
Parameter
27. An individual data value which lies far (above or below) from most or all of the other data values within a distribution
H0
Outlier
Cluster sampling
Alpha (a)
28. For a left tailed test use normalcdf(-999 - ZTS)
Numerical measurement describing some characteristics of a population.
p value left tail
p
p value right tail
29. Population size
Dependent events
N
Numerical measurement describing some characteristic of a sample.
P(A)
30. Sample standard deviation
range
Strata sampling
s
p
31. A flaw in the sampling procedure that makes it more likely that the sample will NOT be representative of population
Simple random sample
Survey
Graph
Bias
32. Is a number that describes a characteristic of a sample
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33. Information about individuals in a population
s2
Discrete Data
p value right tail
Data
34. 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
Sample
The 4 measures of center
range
Median
35. Statistics
Center of Distribution
Categorical Variable
Continuous Data
Numerical measurement describing some characteristic of a sample.
36. Is the portion of the population that is selected for study
Discrete Data
Sample
s
Sample Size
37. Is the process of selecting a portion - or sample - of the entire population
Inferential Statistics
Statistic
Sampling
Data Set
38. Probability of event A
Discrete numerical data
p value left tail
S
P(A)
39. Parameter
Sample Size
Outliers
Center of Distribution
Numerical measurement describing some characteristics of a population.
40. Using graphs and numerical summaries to describe variables in a data set and their relationship
Exploratory data analysis
s2
Discrete Data
Systematic sampling
41. Occur when one of them affects the probability of the other.
Distribution
p
Dependent events
Population
42. A number that is used to describe a characteristic of a sample - such as a sample average - is called a __________.
The 3 measures of variation
Statistic
Designed experiment
Parameter
43. A method of data collection where the researcher selects a sample from the population and measures the variable of interest
Survey
p
Frequency
N
44. An efficient method of graphing information using actual amounts: clusters - gaps - outliers are clearly identified.
Outlier
n
Stem and leaf plots
Parameter
45. To find the range subtract the lowest value by the highest value.
Range
Continuous Data
q
Simple random sample
46. Null hypothesis
The 4 measures of center
Dot plots
Statistic (note there is no 's' at the end)
H0
47. Create a sample by using data from population members that are readily available
Convenience sampling
p value right tail
Representative Sample
s2
48. Population proportion
Bias
Numerical measurement describing some characteristic of a sample.
s2
p
49. A method of experimentation in which you can control as many variables as possible in order to isolate the effects of a response variable
Designed experiment
Outlier
Continuous Data
Independent events
50. Type of bar graph that shows frequency distributions
Ordinal
Frequency histogram
p value two tailed test
The 2 measures of relative standing
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