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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 subset of the population- it's important to choose a sample at random to avoid bias in the results
N
Sample
Data Set
Continuous Data
2. Using graphs and numerical summaries to describe variables in a data set and their relationship
Center of Distribution
Independent events
Exploratory data analysis
Outliers
3. A flaw in the sampling procedure that makes it more likely that the sample will NOT be representative of population
Characteristic of a distribution
Bias
x
Center of Distribution
4. Uses numerical and or visual techniques to summarize or describe the data in a clear effective manner
Descriptive Statistics
Stem-and-Leaf display
Data
Alpha (a)
5. Disjoint events cannot overlap. They are mutually exclusive if they cannot occur at the same time.
p
Discrete Data
Disjoint event
Data Set
6. Always use a equal symbol
x
What symbol must always be found in H0
Independent events
Bias
7. 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
Survey
Distribution
Simple random sample
8. Information about individuals in a population
Data
Center of Distribution
The 2 measures of relative standing
Distribution
9. Determine the location of the middle value of all the data values
s
p value right tail
Center of Distribution
10. Before they are arranged or analyzed - information or observations are called________.
What symbol must always be found in H0
Raw Data
Designed experiment
Discrete numerical data
11. Standard scores and percentile
Distribution
The 2 measures of relative standing
Numerical measurement describing some characteristic of a sample.
12. Mu; population mean
Stem and leaf plots
Categorical Variable
Interval
13. Sample mean
x
Pictograph
Census
14. 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
Ordinal
S
Survey
s
15. Sample proportion
The 2 measures of relative standing
p
H0
Sample Variance
16. Sample standard deviation
Designed experiment
Relative frequency histogram
Categorical Variable
s
17. Is denoted by 'n' - is the number of data values in the sample
Sample Size
Dot plots
n
p value left tail
18. 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
Symmetric Distribution
Dot plots
Median
19. Statistics
Range
Numerical measurement describing some characteristics of a population.
Relative frequency histogram
Numerical measurement describing some characteristic of a sample.
20. A number that is used to describe a characteristic of a sample - such as a sample average - is called a __________.
Numerical Variable
Statistic
S x
Symmetric Distribution
21. _______________ are numerical measurements that can assume any value between two numbers
Independent events
Discrete numerical data
Continuous Data
The 2 measures of relative standing
22. Capital sigma; summation
S
Sample Variance
Sample
Statistic
23. Members of the population select themselves by volunteering
Statistic
Cluster sampling
Self-selected sample
Range
24. Population proportion
Sample Variance
Frequency histogram
p
P(A)
25. For a left tailed test use normalcdf(-999 - ZTS)
p value left tail
Survey
Sample Size
Systematic sampling
26. A descriptive tool used to visually describe the characteristics and relationships of collections of data quickly and attractively
Statistic
Graph
Pictograph
Dot plots
27. 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
Statistic
Median
Sample
Census
28. 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
Skewed Distribution
Strata sampling
Nominal
Frequency histogram
29. To calculate the percentile take the number of values less than x - divide by total number of values and times by 100.
Percentile
Parameter
Simple Random Sample
Numerical Variable
30. Occur when one does not affect the probability of the occurrence of the other.
Independent events
Designed experiment
Statistics
Parameter
31. To find the range subtract the lowest value by the highest value.
Range
Nominal
Statistic (note there is no 's' at the end)
What symbol must always be found in H0
32. Parameter
Dependent events
Numerical Variable
Numerical measurement describing some characteristics of a population.
Data Set
33. 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
Descriptive Statistics
Outliers
p value two tailed test
Data Set
34. Lowercase sigma; population standard deviaition
Random Sample or Probability Sample
range
Observational study
s
35. Sample variance
Inferential Statistics
Relative frequency histogram
s2
p value left tail
36. 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.
Outlier
Stem and leaf plots
Pictograph
Categorical Variable
37. Create a sample by using data from population members that are readily available
Convenience sampling
Bias
Sample
Statistic (note there is no 's' at the end)
38. 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
Random Sample or Probability Sample
Ratio
Representative Sample
p
39. A numerical quantity measuring some aspect of the population
Frequency histogram
Percentile
Parameter
Range
40. Occur when one of them affects the probability of the other.
Survey
Independent events
Dependent events
The 3 measures of variation
41. Null hypothesis
Data Set
H0
Sample
Statistics
42. Is a collection of several data pertaining to one or more variables
Frequency
Sample Size
Data Set
P(A)
43. Is a sample that has the pertinent characteristics of the population in the same proportion - as they are included in that population
s2
Ordinal
Representative Sample
Dot plots
44. A survey that includes every item or individual of the population
Census
Sample
Stem-and-Leaf display
p value left tail
45. (largest data value) - (smallest data value)
range
Representative Sample
Frequency
Ordinal
46. 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
p
Statistics
Designed experiment
Categorical Variable
47. A method in which you randomly choose one number from 'l' to 'k' and continue to select the kth element
Center of Distribution
Systematic sampling
Cluster sampling
48. Probability of event A
Range
Interval
Outlier
P(A)
49. The variable value can be represented as isolated points on a number line
p value left tail
Population Size
Discrete numerical data
Distribution
50. Square the standard deviation and to find the population variance square of the population standard deviation
p
Sample Variance
Parameter
Descriptive Statistics