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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. A numerical quantity measuring some aspect of the population
Parameter
Representative Sample
Continuous Data
Nominal
2. Can be used to get an initial graphical view of data
Statistics
Raw Data
Statistic
Dot plots
3. A flaw in the sampling procedure that makes it more likely that the sample will NOT be representative of population
Statistic
s
Ratio
Bias
4. To divide the population into 2 or more non-overlapping subsets called strata
Ordinal
Numerical measurement describing some characteristics of a population.
Independent events
Strata sampling
5. Is a sample containing similar characteristics of the population
Independent events
Disjoint event
Cluster sampling
Representative Sample
6. Mean - mode - median and midrange.
Percentile
Descriptive Statistics
The 4 measures of center
7. Alternative hypothesis
H1
Population Size
Bias
8. 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
s
Simple random sample
Skewed Distribution
9. The important aspects of the data are called?
Characteristic of a distribution
Survey
Simple Random Sample
p
10. For a left tailed test use normalcdf(-999 - ZTS)
Bias
Disjoint event
p value left tail
Observational study
11. Create a sample by using data from population members that are readily available
Convenience sampling
Frequency histogram
Independent events
Population
12. Collection of information from the whole population
Census
Population
Independent events
Distribution
13. To find the range subtract the lowest value by the highest value.
Simple Random Sample
Range
Random Sample or Probability Sample
Independent events
14. Mu; population mean
Statistic (note there is no 's' at the end)
Ordinal
N
15. 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)
Numerical measurement describing some characteristics of a population.
N
range
16. A subset of the population- it's important to choose a sample at random to avoid bias in the results
Descriptive Statistics
N
Numerical measurement describing some characteristics of a population.
Sample
17. Population variance
Parameter
p
Range
s2
18. Is a number that describes a characteristic of a population
Statistic
p
Parameter
Stem and leaf plots
19. Lowercase sigma; population standard deviaition
s
Symmetric Distribution
Convenience sampling
Inferential Statistics
20. Disjoint events cannot overlap. They are mutually exclusive if they cannot occur at the same time.
Disjoint event
Exploratory data analysis
n
Data
21. An efficient method of graphing information using actual amounts: clusters - gaps - outliers are clearly identified.
Ratio
Exploratory data analysis
Stem and leaf plots
p value right tail
22. Information about individuals in a population
Statistic (note there is no 's' at the end)
Sample Size
Data
Stem and leaf plots
23. A method in which you randomly choose one number from 'l' to 'k' and continue to select the kth element
q
Relative frequency histogram
Symmetric Distribution
Systematic sampling
24. 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.
Pictograph
H1
Survey
Continuous Data
25. Standard scores and percentile
s2
The 2 measures of relative standing
Range
Dependent events
26. Is the process of using SAMPLE INFORMATION to draw inferences or conclusions about the POPULATION
Outliers
Inferential Statistics
Characteristic of a distribution
27. Null hypothesis
Continuous Data
H0
Symmetric Distribution
The 3 measures of variation
28. A survey that includes every item or individual of the population
S
Census
Sampling
Independent events
29. Sample standard deviation
The effect of extreme values on the measures of center
s
Frequency histogram
Designed experiment
30. Collection of information from a sample
Systematic sampling
S x
Nominal
Survey
31. The variable value can be represented as isolated points on a number line
Population Size
Discrete numerical data
Sample Size
32. Population proportion
Simple random sample
Statistic (note there is no 's' at the end)
p
Percentile
33. Always use a equal symbol
Self-selected sample
What symbol must always be found in H0
Distribution
Population
34. 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
q
Ordinal
range
Random Sample or Probability Sample
35. 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
The effect of extreme values on the measures of center
Population
Random Sample or Probability Sample
p
36. Sample mean
x
Population Size
Survey
p value two tailed test
37. Is a number that describes a characteristic of a sample
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38. Double the answer from step 1 or step 2 (on whichever side your test statistics falls).
s
Convenience sampling
p value two tailed test
p
39. Sum of the values
S x
Graph
S
Range
40. Type of information - usually a property of characteristic of a person or thing that is measured or observed
Variable
Center of Distribution
Exploratory data analysis
Simple Random Sample
41. Represents categories - and is nonnumerical in nature
Categorical Variable
Continuous Data
Discrete Data
Representative Sample
42. Members of the population select themselves by volunteering
p value right tail
Self-selected sample
Descriptive Statistics
Sample Size
43. Statistics
Numerical measurement describing some characteristic of a sample.
s
Representative Sample
p value right tail
44. A method of data collection in which the objects of study are observed in their natural settings and the variables are recorded
Observational study
n
Representative Sample
x
45. The pattern of variation of data. The distribution may be described as symmetrical - positively skewed - or negatively skewed
Pictograph
Median
p
Distribution
46. Type II error is measured
Ratio
Representative Sample
Discrete numerical data
47. _______________ 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
q
Distribution
Strata sampling
Percentile
48. A quantity calculated from data gathered from a sample- usually used to estimate a population parameter
Percentile
Designed experiment
Statistic
Numerical measurement describing some characteristic of a sample.
49. Capital sigma; summation
Strata sampling
Outlier
S
p value two tailed test
50. One extreme value can affect it dramatically.
Numerical Variable
Symmetric Distribution
The effect of extreme values on the measures of center
Sample