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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. Sum of the values
Pictograph
S x
p value two tailed test
p value left tail
2. 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
Raw Data
Median
range
Simple random sample
3. One extreme value can affect it dramatically.
Interval
The effect of extreme values on the measures of center
Percentile
Numerical measurement describing some characteristic of a sample.
4. Sample standard deviation
P(A)
The 3 measures of variation
s
Sample Variance
5. Collection of information from the whole population
The 2 measures of relative standing
Cluster sampling
Census
Numerical measurement describing some characteristics of a population.
6. Is denoted by 'N' - is the number of data values in the population
Survey
Population Size
Cluster sampling
Graph
7. Parameter
Distribution
Cluster sampling
Numerical measurement describing some characteristics of a population.
Raw Data
8. Determine the location of the middle value of all the data values
Statistic (note there is no 's' at the end)
Stem and leaf plots
Center of Distribution
Observational study
9. An individual data value which lies far (above or below) from most or all of the other data values within a distribution
Outlier
Range
Distribution
Stem and leaf plots
10. 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.
Numerical measurement describing some characteristics of a population.
P(A)
Pictograph
11. Probability of event A
Statistics
Bias
Parameter
P(A)
12. Is the portion of the population that is selected for study
Sample
Distribution
range
Survey
13. Sample proportion
p
Sample Variance
What symbol must always be found in H0
Skewed Distribution
14. Occur when one does not affect the probability of the occurrence of the other.
q
Statistic
Independent events
Dependent events
15. _______________ are numerical values that can assume only a limited number of values
Dot plots
Systematic sampling
Discrete Data
s
16. Is denoted by 'n' - is the number of data values in the sample
Relative frequency histogram
Sample Size
The 2 measures of relative standing
Stem-and-Leaf display
17. Disjoint events cannot overlap. They are mutually exclusive if they cannot occur at the same time.
Sample
Population
Independent events
Disjoint event
18. Represents categories - and is nonnumerical in nature
Self-selected sample
Survey
Categorical Variable
range
19. Is a sample of data values selected from a population in such a way that every sample of size 'n' has an equal probability of being selected and every data value of the population has the same chance of being selected for the sample
Simple Random Sample
Stem and leaf plots
Dependent events
Graph
20. 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
p
Graph
N
Ordinal
21. A quantity calculated from data gathered from a sample- usually used to estimate a population parameter
Pictograph
Statistic
Self-selected sample
N
22. Occur when one of them affects the probability of the other.
Observational study
Data Set
H1
Dependent events
23. To calculate the percentile take the number of values less than x - divide by total number of values and times by 100.
q
Percentile
Observational study
24. 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
Percentile
The 3 measures of variation
Designed experiment
Statistics
25. Is the entire collection of all individuals or objects of interest
Exploratory data analysis
Population
N
26. Using graphs and numerical summaries to describe variables in a data set and their relationship
Sampling
H1
Parameter
Exploratory data analysis
27. The important aspects of the data are called?
Alpha (a)
Characteristic of a distribution
Simple Random Sample
Dependent events
28. Alternative hypothesis
Distribution
Self-selected sample
Simple random sample
H1
29. Is the process of selecting a portion - or sample - of the entire population
Statistic
Population
Center of Distribution
Sampling
30. Mean - mode - median and midrange.
Sampling
Strata sampling
Graph
The 4 measures of center
31. Members of the population select themselves by volunteering
Self-selected sample
Survey
Stem and leaf plots
q
32. A number that is used to describe a characteristic of a sample - such as a sample average - is called a __________.
Convenience sampling
H1
Statistic
Center of Distribution
33. (largest data value) - (smallest data value)
The 2 measures of relative standing
Data Set
Strata sampling
range
34. Standard scores and percentile
Sample Variance
The 2 measures of relative standing
Population
p
35. Capital sigma; summation
Discrete numerical data
Inferential Statistics
Range
S
36. Square the standard deviation and to find the population variance square of the population standard deviation
Sample Variance
The 4 measures of center
s2
Frequency
37. _______________ 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
Census
Statistics
38. Null hypothesis
Population
s2
H0
Interval
39. A method of data collection where the researcher selects a sample from the population and measures the variable of interest
Range
Survey
Bias
Designed experiment
40. 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
Survey
Systematic sampling
Alpha (a)
41. Sample mean
x
Statistic
p
Raw Data
42. Population variance
Survey
Categorical Variable
Discrete numerical data
s2
43. 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
Descriptive Statistics
Distribution
Nominal
p value right tail
44. The pattern of variation of data. The distribution may be described as symmetrical - positively skewed - or negatively skewed
Population Size
Distribution
Dot plots
Census
45. Population proportion
Exploratory data analysis
N
Bias
p
46. Mu; population mean
Range
Sample
Nominal
47. The number of times each data value occurs
Observational study
Frequency
Graph
Sample Size
48. 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
Inferential Statistics
Alpha (a)
H0
49. Type of information - usually a property of characteristic of a person or thing that is measured or observed
Sample
p
Outliers
Variable
50. 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
Census
Skewed Distribution
The effect of extreme values on the measures of center
Raw Data
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