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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 collection of individuals about which we want to draw conclusions
Population
Descriptive Statistics
Bias
2. To find the range subtract the lowest value by the highest value.
Stem and leaf plots
Range
Dot plots
Discrete Data
3. 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
Outlier
Ratio
Stem and leaf plots
Random Sample or Probability Sample
4. For a left tailed test use normalcdf(-999 - ZTS)
Interval
s
p value left tail
Survey
5. A number that is used to describe a characteristic of a sample - such as a sample average - is called a __________.
Dependent events
Statistic
p value two tailed test
Numerical Variable
6. Variable where the value is a number that results from a measurement process - also called numerical data
The effect of extreme values on the measures of center
Representative Sample
Numerical Variable
7. A quantity calculated from data gathered from a sample- usually used to estimate a population parameter
Census
Statistic
Dependent events
Relative frequency histogram
8. A method of data collection where the researcher selects a sample from the population and measures the variable of interest
Representative Sample
Survey
Stem-and-Leaf display
Parameter
9. Population is organized into groups (i.e - neighborhoods/departments) - and sampling unit is selected by a simple random sample
Cluster sampling
Continuous Data
The 3 measures of variation
p
10. Is a collection of several data pertaining to one or more variables
Numerical Variable
p
Data Set
Descriptive Statistics
11. 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
Stem-and-Leaf display
Alpha (a)
Survey
Variable
12. _______________ are numerical values that can assume only a limited number of values
Inferential Statistics
Discrete Data
Sample
Variable
13. To calculate the percentile take the number of values less than x - divide by total number of values and times by 100.
Discrete numerical data
What symbol must always be found in H0
Percentile
Numerical measurement describing some characteristic of a sample.
14. Population variance
Relative frequency histogram
Dot plots
s2
Ratio
15. Capital sigma; summation
H0
The 4 measures of center
Outliers
S
16. Alternative hypothesis
H1
Descriptive Statistics
Independent events
Parameter
17. Is the entire collection of all individuals or objects of interest
Census
Symmetric Distribution
Designed experiment
Population
18. Null hypothesis
H0
P(A)
Numerical Variable
Disjoint event
19. Is the process of selecting a portion - or sample - of the entire population
Exploratory data analysis
Sampling
Skewed Distribution
Self-selected sample
20. 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
Sample
Statistic
Statistic (note there is no 's' at the end)
21. Statistics
Dot plots
Descriptive Statistics
Range
Numerical measurement describing some characteristic of a sample.
22. Can be used to get an initial graphical view of data
The 2 measures of relative standing
Dot plots
Alpha (a)
Random Sample or Probability Sample
23. 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
Ratio
Numerical measurement describing some characteristic of a sample.
Distribution
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.
Dot plots
p value right tail
Sample Variance
Pictograph
25. An efficient method of graphing information using actual amounts: clusters - gaps - outliers are clearly identified.
Skewed Distribution
Self-selected sample
Stem and leaf plots
n
26. Sample proportion
p
s2
Dot plots
Disjoint event
27. Mean - mode - median and midrange.
The 4 measures of center
Inferential Statistics
x
Data Set
28. 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).
Continuous Data
Interval
Independent events
Dependent events
29. An individual data value which lies far (above or below) from most or all of the other data values within a distribution
Outlier
Range
Sample Size
P(A)
30. The important aspects of the data are called?
Symmetric Distribution
Sampling
Characteristic of a distribution
31. Double the answer from step 1 or step 2 (on whichever side your test statistics falls).
p value two tailed test
Graph
Interval
Cluster sampling
32. Always use a equal symbol
Parameter
What symbol must always be found in H0
Parameter
Simple random sample
33. Type of information - usually a property of characteristic of a person or thing that is measured or observed
Pictograph
Variable
n
34. Sum of the values
Survey
p value two tailed test
S x
Dependent events
35. To divide the population into 2 or more non-overlapping subsets called strata
Exploratory data analysis
Strata sampling
H0
36. _______________ are numerical measurements that can assume any value between two numbers
Simple Random Sample
Continuous Data
Symmetric Distribution
p
37. A survey that includes every item or individual of the population
Population
Frequency histogram
Census
Population Size
38. Population proportion
Distribution
Nominal
p
The 3 measures of variation
39. Sample standard deviation
Nominal
Bias
s
Simple Random Sample
40. A subset of the population- it's important to choose a sample at random to avoid bias in the results
Statistics
Sample
Graph
Outliers
41. Before they are arranged or analyzed - information or observations are called________.
Simple Random Sample
Disjoint event
Raw Data
The 4 measures of center
42. 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
Independent events
Median
Skewed Distribution
Sample
43. 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
Population
Systematic sampling
Ordinal
Inferential Statistics
44. The pattern of variation of data. The distribution may be described as symmetrical - positively skewed - or negatively skewed
Characteristic of a distribution
Distribution
n
Simple Random Sample
45. Type of bar graph that shows frequency distributions
Sample
Discrete Data
Frequency histogram
x
46. Has the same shape and horizontal scale as a histogram - but the vertical scale is marked with relative frequencies instead of actual frequencies
Inferential Statistics
Relative frequency histogram
What symbol must always be found in H0
Stem-and-Leaf display
47. One extreme value can affect it dramatically.
Representative Sample
The effect of extreme values on the measures of center
q
Discrete numerical data
48. Population size
p
Independent events
N
The 2 measures of relative standing
49. Is a number that describes a characteristic of a sample
50. Mu; population mean
Statistics
Inferential Statistics
The 3 measures of variation