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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. To calculate the percentile take the number of values less than x - divide by total number of values and times by 100.
Percentile
Sampling
What symbol must always be found in H0
The 4 measures of center
2. An efficient method of graphing information using actual amounts: clusters - gaps - outliers are clearly identified.
Stem and leaf plots
Survey
P(A)
Statistics
3. Create a sample by using data from population members that are readily available
Statistic (note there is no 's' at the end)
S
Independent events
Convenience sampling
4. A number that is used to describe a characteristic of a sample - such as a sample average - is called a __________.
Statistic
The effect of extreme values on the measures of center
p
5. Sample variance
s2
Center of Distribution
x
Numerical measurement describing some characteristic of a sample.
6. Disjoint events cannot overlap. They are mutually exclusive if they cannot occur at the same time.
Center of Distribution
Disjoint event
Statistic
Convenience sampling
7. Alternative hypothesis
H1
Pictograph
Numerical measurement describing some characteristic of a sample.
p value left tail
8. Is the process of using SAMPLE INFORMATION to draw inferences or conclusions about the POPULATION
The 4 measures of center
Inferential Statistics
x
9. A collection of individuals about which we want to draw conclusions
range
Strata sampling
Population
Census
10. A quantity calculated from data gathered from a sample- usually used to estimate a population parameter
Statistic
Simple random sample
p
Independent events
11. The number of times each data value occurs
Frequency
Distribution
Discrete numerical data
Population
12. Statistics
Numerical measurement describing some characteristic of a sample.
Population
Parameter
Designed experiment
13. 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
Self-selected sample
Interval
Data Set
14. Population proportion
Distribution
p
p value two tailed test
15. Mu; population mean
Frequency
Parameter
Sample Variance
16. Parameter
Observational study
n
Numerical measurement describing some characteristics of a population.
Random Sample or Probability Sample
17. 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
p
Population Size
Designed experiment
18. (largest data value) - (smallest data value)
Discrete numerical data
Relative frequency histogram
range
Outliers
19. _______________ are numerical values that can assume only a limited number of values
H1
Relative frequency histogram
Discrete Data
Variable
20. Lowercase sigma; population standard deviaition
s
Ordinal
p value left tail
21. 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
Characteristic of a distribution
Sample Size
Data Set
Stem-and-Leaf display
22. 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
Continuous Data
Population Size
The effect of extreme values on the measures of center
23. The pattern of variation of data. The distribution may be described as symmetrical - positively skewed - or negatively skewed
Discrete Data
Distribution
Symmetric Distribution
Simple Random Sample
24. Is a sample containing similar characteristics of the population
Representative Sample
Simple Random Sample
Raw Data
P(A)
25. Square the standard deviation and to find the population variance square of the population standard deviation
s2
n
Sample Variance
Representative Sample
26. Always use a equal symbol
What symbol must always be found in H0
Statistics
Frequency
The 3 measures of variation
27. A descriptive tool used to visually describe the characteristics and relationships of collections of data quickly and attractively
Frequency
Sample Variance
Graph
Continuous Data
28. Is the entire collection of all individuals or objects of interest
Population
Parameter
Survey
Simple Random Sample
29. 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
Distribution
Characteristic of a distribution
Ratio
Designed experiment
30. 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
Relative frequency histogram
H1
Alpha (a)
s
31. Complement of p
q
Survey
Center of Distribution
32. Sample standard deviation
Numerical Variable
s
Census
Survey
33. 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
Sample Size
Interval
S x
34. An individual data value which lies far (above or below) from most or all of the other data values within a distribution
Self-selected sample
Outlier
Discrete Data
n
35. Is the process of selecting a portion - or sample - of the entire population
P(A)
The 3 measures of variation
Sampling
36. Occur when one of them affects the probability of the other.
Independent events
Exploratory data analysis
Dependent events
Numerical measurement describing some characteristic of a sample.
37. 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
H1
Simple random sample
Symmetric Distribution
Statistic
38. _______________ are numerical measurements that can assume any value between two numbers
Skewed Distribution
Continuous Data
Alpha (a)
Inferential Statistics
39. Is denoted by 'n' - is the number of data values in the sample
Survey
Sample Size
Dependent events
Skewed Distribution
40. Range - standard deviation and variance.
The 3 measures of variation
p value right tail
Dependent events
Nominal
41. Information about individuals in a population
Data
Simple Random Sample
Statistic
Range
42. Type of bar graph that shows frequency distributions
Statistic
Cluster sampling
Sample Size
Frequency histogram
43. Double the answer from step 1 or step 2 (on whichever side your test statistics falls).
p value two tailed test
Statistic
Symmetric Distribution
Sample
44. Test use normalcdf(ZTS -999)
p value right tail
q
Numerical measurement describing some characteristic of a sample.
Representative Sample
45. A numerical quantity measuring some aspect of the population
Ratio
Range
Parameter
Simple Random Sample
46. Is denoted by 'N' - is the number of data values in the population
Sample Variance
Random Sample or Probability Sample
Bias
Population Size
47. A survey that includes every item or individual of the population
Stem and leaf plots
Descriptive Statistics
Representative Sample
Census
48. Sample proportion
Disjoint event
Independent events
p value right tail
p
49. To divide the population into 2 or more non-overlapping subsets called strata
x
Median
Strata sampling
S x
50. Population is organized into groups (i.e - neighborhoods/departments) - and sampling unit is selected by a simple random sample
Cluster sampling
S
Discrete numerical data
Data Set