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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. Disjoint events cannot overlap. They are mutually exclusive if they cannot occur at the same time.
Disjoint event
p value two tailed test
Representative Sample
Parameter
2. 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
Ordinal
Symmetric Distribution
Range
Numerical measurement describing some characteristics of a population.
3. Parameter
Numerical measurement describing some characteristic of a sample.
Discrete numerical data
Numerical measurement describing some characteristics of a population.
Sample Variance
4. 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
Sample Variance
Random Sample or Probability Sample
s
The effect of extreme values on the measures of center
5. 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
Outliers
Sample
Graph
Skewed Distribution
6. The important aspects of the data are called?
Independent events
Dependent events
Stem-and-Leaf display
Characteristic of a distribution
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).
Interval
p
Nominal
S x
8. A quantity calculated from data gathered from a sample- usually used to estimate a population parameter
Bias
Stem and leaf plots
n
Statistic
9. _______________ are numerical measurements that can assume any value between two numbers
Population Size
Data
Observational study
Continuous Data
10. For a left tailed test use normalcdf(-999 - ZTS)
Sample
Bias
Descriptive Statistics
p value left tail
11. To divide the population into 2 or more non-overlapping subsets called strata
Systematic sampling
Strata sampling
Population
Frequency
12. Sample standard deviation
s
Distribution
p value right tail
Outliers
13. (largest data value) - (smallest data value)
Frequency
range
Nominal
Convenience sampling
14. Capital sigma; summation
Parameter
s2
S
p value two tailed test
15. Variable where the value is a number that results from a measurement process - also called numerical data
The 4 measures of center
Numerical Variable
Descriptive Statistics
S
16. Standard scores and percentile
Population Size
What symbol must always be found in H0
The 2 measures of relative standing
Cluster sampling
17. One extreme value can affect it dramatically.
Alpha (a)
The effect of extreme values on the measures of center
Representative Sample
Center of Distribution
18. 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)
Survey
Center of Distribution
Outlier
19. Lowercase sigma; population standard deviaition
range
Inferential Statistics
s
p
20. Always use a equal symbol
Stem and leaf plots
Stem-and-Leaf display
Statistics
What symbol must always be found in H0
21. 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
Nominal
Observational study
Simple random sample
p value two tailed test
22. Population proportion
Convenience sampling
Variable
p
23. 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
Sampling
Descriptive Statistics
Interval
Ordinal
24. The pattern of variation of data. The distribution may be described as symmetrical - positively skewed - or negatively skewed
Frequency histogram
Numerical Variable
Stem-and-Leaf display
Distribution
25. A descriptive tool used to visually describe the characteristics and relationships of collections of data quickly and attractively
p
Graph
Raw Data
Independent events
26. An individual data value which lies far (above or below) from most or all of the other data values within a distribution
Statistic (note there is no 's' at the end)
Survey
Distribution
Outlier
27. Square the standard deviation and to find the population variance square of the population standard deviation
Simple random sample
Disjoint event
Sample Variance
Population
28. Is denoted by 'N' - is the number of data values in the population
Inferential Statistics
Population Size
Population
Descriptive Statistics
29. Is the process of using SAMPLE INFORMATION to draw inferences or conclusions about the POPULATION
Independent events
Representative Sample
Inferential Statistics
Categorical Variable
30. Members of the population select themselves by volunteering
Discrete Data
Continuous Data
Self-selected sample
Sample Variance
31. Occur when one does not affect the probability of the occurrence of the other.
Descriptive Statistics
s
Parameter
Independent events
32. Type II error is measured
Population
Outlier
Frequency histogram
33. Alternative hypothesis
Raw Data
The effect of extreme values on the measures of center
H1
s
34. Is the process of selecting a portion - or sample - of the entire population
Sampling
Sample Variance
s2
p value right tail
35. A method in which you randomly choose one number from 'l' to 'k' and continue to select the kth element
Dot plots
Strata sampling
Systematic sampling
Descriptive Statistics
36. 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
Cluster sampling
p value two tailed test
Skewed Distribution
Nominal
37. A numerical quantity measuring some aspect of the population
Sample
Parameter
Numerical measurement describing some characteristics of a population.
Sample
38. Create a sample by using data from population members that are readily available
N
Variable
Convenience sampling
Center of Distribution
39. 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
Sampling
Statistics
Representative Sample
N
40. A method of data collection in which the objects of study are observed in their natural settings and the variables are recorded
Observational study
Graph
Population
Ratio
41. Type of information - usually a property of characteristic of a person or thing that is measured or observed
Census
Interval
Variable
Population
42. Double the answer from step 1 or step 2 (on whichever side your test statistics falls).
Population
Distribution
Distribution
p value two tailed test
43. Determine the location of the middle value of all the data values
Center of Distribution
Continuous Data
H0
Independent events
44. A collection of individuals about which we want to draw conclusions
Population
Self-selected sample
Systematic sampling
p
45. A subset of the population- it's important to choose a sample at random to avoid bias in the results
Numerical measurement describing some characteristic of a sample.
Bias
Designed experiment
Sample
46. Collection of information from a sample
Survey
Parameter
Systematic sampling
Population
47. Is a number that describes a characteristic of a sample
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48. A flaw in the sampling procedure that makes it more likely that the sample will NOT be representative of population
Bias
Percentile
Sample Variance
n
49. Population size
p value two tailed test
N
Exploratory data analysis
The 2 measures of relative standing
50. A method of data collection where the researcher selects a sample from the population and measures the variable of interest
Survey
Simple Random Sample
Population