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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. Sample variance
Representative Sample
Descriptive Statistics
n
s2
2. To divide the population into 2 or more non-overlapping subsets called strata
Strata sampling
Bias
Survey
Statistic
3. Alternative hypothesis
Symmetric Distribution
Sample
Simple Random Sample
H1
4. A flaw in the sampling procedure that makes it more likely that the sample will NOT be representative of population
Outlier
Representative Sample
Bias
Stem and leaf plots
5. Sample size or number of trials
n
Median
Continuous Data
Cluster sampling
6. The variable value can be represented as isolated points on a number line
P(A)
Discrete numerical data
Data Set
Skewed Distribution
7. 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
s2
Sample Size
Median
Pictograph
8. 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
Alpha (a)
Sample Variance
Independent events
H1
9. Occur when one of them affects the probability of the other.
Convenience sampling
Median
Dependent events
q
10. To find the range subtract the lowest value by the highest value.
Sampling
Distribution
Sample Size
Range
11. Can be used to get an initial graphical view of data
s
Dot plots
Categorical Variable
Sample
12. 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
s
Relative frequency histogram
Statistics
13. (largest data value) - (smallest data value)
The 3 measures of variation
range
Numerical Variable
Graph
14. Null hypothesis
Sample Variance
Descriptive Statistics
H0
p value two tailed test
15. An individual data value which lies far (above or below) from most or all of the other data values within a distribution
Median
Sample Size
Bias
Outlier
16. A quantity calculated from data gathered from a sample- usually used to estimate a population parameter
Statistic
Survey
Census
Graph
17. Test use normalcdf(ZTS -999)
Distribution
p value two tailed test
Population
p value right tail
18. _______________ are numerical values that can assume only a limited number of values
Statistic
Discrete Data
Nominal
Representative Sample
19. 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
Descriptive Statistics
Stem-and-Leaf display
Relative frequency histogram
Data
20. Using graphs and numerical summaries to describe variables in a data set and their relationship
Sample
Outlier
Exploratory data analysis
Inferential Statistics
21. 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
s
s2
Skewed Distribution
The 4 measures of center
22. 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
Skewed Distribution
Representative Sample
Simple Random Sample
23. Disjoint events cannot overlap. They are mutually exclusive if they cannot occur at the same time.
Discrete numerical data
Disjoint event
Stem-and-Leaf display
H1
24. Members of the population select themselves by volunteering
Self-selected sample
H0
Numerical Variable
Simple Random Sample
25. Type of information - usually a property of characteristic of a person or thing that is measured or observed
H1
Inferential Statistics
Variable
Stem-and-Leaf display
26. Variable where the value is a number that results from a measurement process - also called numerical data
Frequency
s
Observational study
Numerical Variable
27. Standard scores and percentile
The 2 measures of relative standing
Population
The effect of extreme values on the measures of center
Median
28. Is the portion of the population that is selected for study
Frequency
Interval
Sample
Statistic
29. Is the process of selecting a portion - or sample - of the entire population
Alpha (a)
Center of Distribution
Sampling
What symbol must always be found in H0
30. 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
Sample Variance
Range
Outlier
31. Is a number that describes a characteristic of a population
s
Parameter
Representative Sample
Relative frequency histogram
32. Type II error is measured
Population Size
S x
Population
33. 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
x
Stem and leaf plots
Statistics
Parameter
34. Is a sample that has the pertinent characteristics of the population in the same proportion - as they are included in that population
Frequency
p
Representative Sample
The 4 measures of center
35. Population size
N
Bias
p value right tail
Strata sampling
36. Information about individuals in a population
Sample Variance
Dot plots
Simple Random Sample
Data
37. One extreme value can affect it dramatically.
Census
The effect of extreme values on the measures of center
Representative Sample
q
38. A method in which you randomly choose one number from 'l' to 'k' and continue to select the kth element
Interval
Graph
Survey
Systematic sampling
39. Complement of p
Observational study
Frequency
q
40. _______________ 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
Numerical Variable
Numerical measurement describing some characteristic of a sample.
Ratio
Distribution
41. Create a sample by using data from population members that are readily available
Parameter
Simple Random Sample
Convenience sampling
Population
42. Is the process of using SAMPLE INFORMATION to draw inferences or conclusions about the POPULATION
What symbol must always be found in H0
Designed experiment
Inferential Statistics
Independent events
43. A numerical quantity measuring some aspect of the population
Data Set
x
Parameter
Inferential Statistics
44. The pattern of variation of data. The distribution may be described as symmetrical - positively skewed - or negatively skewed
Median
Distribution
Strata sampling
range
45. Is a number that describes a characteristic of a sample
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46. 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
Interval
Ordinal
Center of Distribution
x
47. Parameter
Numerical measurement describing some characteristics of a population.
Median
Sample Variance
Skewed Distribution
48. Range - standard deviation and variance.
Graph
Population
The 3 measures of variation
Frequency histogram
49. Probability of event A
Characteristic of a distribution
P(A)
The 2 measures of relative standing
s
50. A method of data collection where the researcher selects a sample from the population and measures the variable of interest
s2
Survey
Data
x
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