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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. Lowercase sigma; population standard deviaition
Stem and leaf plots
s
Population
Numerical Variable
2. A descriptive tool used to visually describe the characteristics and relationships of collections of data quickly and attractively
Designed experiment
Ordinal
Graph
Skewed Distribution
3. One extreme value can affect it dramatically.
P(A)
Outliers
Census
The effect of extreme values on the measures of center
4. A method of experimentation in which you can control as many variables as possible in order to isolate the effects of a response variable
Numerical measurement describing some characteristic of a sample.
Relative frequency histogram
Designed experiment
q
5. _______________ are numerical values that can assume only a limited number of values
H0
Dependent events
Data Set
Discrete Data
6. Sample size or number of trials
Outlier
Parameter
Population
n
7. Members of the population select themselves by volunteering
Alpha (a)
s2
Self-selected sample
8. Create a sample by using data from population members that are readily available
Skewed Distribution
p
Population Size
Convenience sampling
9. Represents categories - and is nonnumerical in nature
Population Size
p
Categorical Variable
What symbol must always be found in H0
10. A flaw in the sampling procedure that makes it more likely that the sample will NOT be representative of population
Categorical Variable
Distribution
Bias
Skewed Distribution
11. To calculate the percentile take the number of values less than x - divide by total number of values and times by 100.
Self-selected sample
Bias
The effect of extreme values on the measures of center
Percentile
12. Probability of event A
Population
The 4 measures of center
s2
P(A)
13. (largest data value) - (smallest data value)
Census
Numerical measurement describing some characteristic of a sample.
What symbol must always be found in H0
range
14. The variable value can be represented as isolated points on a number line
Raw Data
s2
Discrete numerical data
Statistic (note there is no 's' at the end)
15. Is denoted by 'N' - is the number of data values in the population
x
Bias
Population Size
Survey
16. 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
Representative Sample
Ratio
Descriptive Statistics
Ordinal
17. A collection of individuals about which we want to draw conclusions
Population
Sample
What symbol must always be found in H0
Population Size
18. The pattern of variation of data. The distribution may be described as symmetrical - positively skewed - or negatively skewed
Outliers
p
Distribution
Pictograph
19. Sample standard deviation
Discrete numerical data
s
Descriptive Statistics
Interval
20. Sum of the values
S x
Pictograph
Representative Sample
The 4 measures of center
21. Sample mean
Parameter
Frequency
x
Parameter
22. Occur when one of them affects the probability of the other.
Parameter
Characteristic of a distribution
Percentile
Dependent events
23. A method of data collection where the researcher selects a sample from the population and measures the variable of interest
Representative Sample
H0
S x
Survey
24. 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
Continuous Data
p
Ordinal
Statistics
25. A method of data collection in which the objects of study are observed in their natural settings and the variables are recorded
p
Sample Variance
Observational study
Simple random sample
26. Type of bar graph that shows frequency distributions
Distribution
Representative Sample
Characteristic of a distribution
Frequency histogram
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
range
Census
Median
Disjoint event
28. Capital sigma; summation
Statistic
S
Sample Size
29. 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
Alpha (a)
s
Sampling
Outliers
30. A number that is used to describe a characteristic of a sample - such as a sample average - is called a __________.
Sample Variance
Statistic
Inferential Statistics
Center of Distribution
31. Square the standard deviation and to find the population variance square of the population standard deviation
Variable
range
Representative Sample
Sample Variance
32. A survey that includes every item or individual of the population
Outliers
Census
S
Simple Random Sample
33. 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
Numerical measurement describing some characteristic of a sample.
The 3 measures of variation
S
Simple random sample
34. Always use a equal symbol
Statistic
Data Set
What symbol must always be found in H0
H1
35. Uses numerical and or visual techniques to summarize or describe the data in a clear effective manner
s2
s
p
Descriptive Statistics
36. 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
Relative frequency histogram
Dependent events
Statistics
Census
37. 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
q
x
Stem-and-Leaf display
s2
38. Before they are arranged or analyzed - information or observations are called________.
Raw Data
Systematic sampling
P(A)
Stem and leaf plots
39. Range - standard deviation and variance.
Interval
Relative frequency histogram
The 3 measures of variation
Statistic (note there is no 's' at the end)
40. Determine the location of the middle value of all the data values
Alpha (a)
Center of Distribution
Raw Data
Parameter
41. Statistics
Graph
Relative frequency histogram
Numerical measurement describing some characteristic of a sample.
Alpha (a)
42. Is a sample containing similar characteristics of the population
Statistic
Survey
Simple random sample
Representative Sample
43. A method in which you randomly choose one number from 'l' to 'k' and continue to select the kth element
Data Set
x
Exploratory data analysis
Systematic sampling
44. 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
Percentile
Frequency histogram
range
45. Is the process of selecting a portion - or sample - of the entire population
Statistics
Sampling
Parameter
p
46. Collection of information from the whole population
Census
S x
Continuous Data
Numerical measurement describing some characteristic of a sample.
47. _______________ of a numerical variable represents the data values of the variable from the lowest to the highest value along with the number of times each data value occurs
Distribution
Symmetric Distribution
Designed experiment
Sample Size
48. Is denoted by 'n' - is the number of data values in the sample
Relative frequency histogram
Sample Size
Inferential Statistics
S x
49. The important aspects of the data are called?
n
Characteristic of a distribution
Percentile
50. 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.
Frequency
Ratio
Pictograph
Population
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