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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 quantity calculated from data gathered from a sample- usually used to estimate a population parameter
Simple random sample
What symbol must always be found in H0
Sample
Statistic
2. One extreme value can affect it dramatically.
Inferential Statistics
Representative Sample
p value right tail
The effect of extreme values on the measures of center
3. The pattern of variation of data. The distribution may be described as symmetrical - positively skewed - or negatively skewed
p value two tailed test
Distribution
Strata sampling
Data Set
4. Test use normalcdf(ZTS -999)
p value right tail
Strata sampling
Pictograph
Simple Random Sample
5. Sample mean
Parameter
Survey
Percentile
x
6. Complement of p
Census
q
Ratio
Median
7. Is a collection of several data pertaining to one or more variables
Graph
Data Set
Discrete Data
p value right tail
8. Parameter
s
The 4 measures of center
Variable
Numerical measurement describing some characteristics of a population.
9. The number of times each data value occurs
Frequency
Data Set
q
Graph
10. 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
Statistic (note there is no 's' at the end)
Alpha (a)
Ratio
s2
11. Type II error is measured
Frequency
Sample Variance
Categorical Variable
12. Disjoint events cannot overlap. They are mutually exclusive if they cannot occur at the same time.
The 2 measures of relative standing
Disjoint event
Center of Distribution
Convenience sampling
13. Type of information - usually a property of characteristic of a person or thing that is measured or observed
Median
Variable
Parameter
14. 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
p value right tail
Outliers
Frequency
Numerical measurement describing some characteristic of a sample.
15. Uses numerical and or visual techniques to summarize or describe the data in a clear effective manner
Systematic sampling
Survey
Distribution
Descriptive Statistics
16. Lowercase sigma; population standard deviaition
s
The 2 measures of relative standing
p value right tail
Census
17. Is denoted by 'n' - is the number of data values in the sample
Cluster sampling
Statistics
Population Size
Sample Size
18. Has the same shape and horizontal scale as a histogram - but the vertical scale is marked with relative frequencies instead of actual frequencies
Parameter
Numerical measurement describing some characteristic of a sample.
Relative frequency histogram
Descriptive Statistics
19. Before they are arranged or analyzed - information or observations are called________.
Raw Data
P(A)
Bias
Relative frequency histogram
20. 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
Ratio
Parameter
Population Size
Dot plots
21. Is the entire collection of all individuals or objects of interest
Population
Discrete numerical data
Center of Distribution
Outlier
22. Is the portion of the population that is selected for study
Sample
Descriptive Statistics
Population
Skewed Distribution
23. A survey that includes every item or individual of the population
Relative frequency histogram
Discrete Data
Census
The 4 measures of center
24. 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
Parameter
Symmetric Distribution
Self-selected sample
Numerical Variable
25. Is denoted by 'N' - is the number of data values in the population
Survey
Descriptive Statistics
Population Size
Ordinal
26. Population proportion
p
Dependent events
Frequency histogram
27. Is a number that describes a characteristic of a sample
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28. For a left tailed test use normalcdf(-999 - ZTS)
Exploratory data analysis
p value left tail
Center of Distribution
P(A)
29. Sum of the values
S x
Skewed Distribution
Relative frequency histogram
Population
30. Is a sample that has the pertinent characteristics of the population in the same proportion - as they are included in that population
Variable
Relative frequency histogram
Representative Sample
range
31. To find the range subtract the lowest value by the highest value.
s
Range
Stem-and-Leaf display
Data
32. 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
Sampling
Ordinal
Representative Sample
Nominal
33. Double the answer from step 1 or step 2 (on whichever side your test statistics falls).
Dot plots
p value two tailed test
The effect of extreme values on the measures of center
Parameter
34. A numerical quantity measuring some aspect of the population
Parameter
The effect of extreme values on the measures of center
n
p value left tail
35. Using graphs and numerical summaries to describe variables in a data set and their relationship
Self-selected sample
Symmetric Distribution
Exploratory data analysis
Observational study
36. A descriptive tool used to visually describe the characteristics and relationships of collections of data quickly and attractively
p
Graph
Interval
Census
37. A collection of individuals about which we want to draw conclusions
Nominal
Population
Categorical Variable
Numerical measurement describing some characteristic of a sample.
38. 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).
Variable
Population
Interval
Raw Data
39. Members of the population select themselves by volunteering
S
P(A)
Descriptive Statistics
Self-selected sample
40. 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
Simple random sample
p value right tail
Observational study
q
41. Is the process of using SAMPLE INFORMATION to draw inferences or conclusions about the POPULATION
Median
H1
Inferential Statistics
Characteristic of a distribution
42. Mean - mode - median and midrange.
Symmetric Distribution
Descriptive Statistics
The 4 measures of center
Parameter
43. The variable value can be represented as isolated points on a number line
Discrete numerical data
Outliers
Representative Sample
Descriptive Statistics
44. A method in which you randomly choose one number from 'l' to 'k' and continue to select the kth element
Census
H1
Systematic sampling
Ordinal
45. Sample proportion
Sample
H1
p
Discrete numerical data
46. 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
Raw Data
Stem-and-Leaf display
Skewed Distribution
The 2 measures of relative standing
47. _______________ are numerical values that can assume only a limited number of values
Discrete Data
Ratio
Dot plots
48. 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)
Population Size
p
Outlier
49. Population variance
s2
Sample Variance
Nominal
50. _______________ are numerical measurements that can assume any value between two numbers
Interval
Distribution
p value left tail
Continuous Data