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Test your basic knowledge |
DSST Intro To Statistics
Start Test
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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 flaw in the sampling procedure that makes it more likely that the sample will NOT be representative of population
Bias
N
Exploratory data analysis
Symmetric Distribution
2. To divide the population into 2 or more non-overlapping subsets called strata
Strata sampling
Characteristic of a distribution
Stem and leaf plots
What symbol must always be found in H0
3. Disjoint events cannot overlap. They are mutually exclusive if they cannot occur at the same time.
Disjoint event
N
s
p
4. Is denoted by 'N' - is the number of data values in the population
Pictograph
Population Size
Representative Sample
Discrete Data
5. 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
Observational study
Population Size
x
Median
6. Collection of information from a sample
Survey
n
Graph
s
7. Complement of p
Outlier
Strata sampling
Distribution
q
8. Is a number that describes a characteristic of a sample
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9. For a left tailed test use normalcdf(-999 - ZTS)
Descriptive Statistics
p value left tail
Disjoint event
10. Represents categories - and is nonnumerical in nature
Categorical Variable
Raw Data
The 3 measures of variation
What symbol must always be found in H0
11. Is the portion of the population that is selected for study
Survey
Sample
Raw Data
Distribution
12. Has the same shape and horizontal scale as a histogram - but the vertical scale is marked with relative frequencies instead of actual frequencies
Outlier
s
Relative frequency histogram
Stem-and-Leaf display
13. The number of times each data value occurs
Data Set
Numerical Variable
Frequency
Statistics
14. Is denoted by 'n' - is the number of data values in the sample
Sample Size
Census
p value right tail
Variable
15. Members of the population select themselves by volunteering
Parameter
Cluster sampling
Center of Distribution
Self-selected sample
16. Test use normalcdf(ZTS -999)
Sample Variance
Parameter
p value right tail
Ratio
17. Mu; population mean
Discrete numerical data
Center of Distribution
Alpha (a)
18. Population is organized into groups (i.e - neighborhoods/departments) - and sampling unit is selected by a simple random sample
Designed experiment
p value right tail
range
Cluster sampling
19. Is a collection of several data pertaining to one or more variables
Data
Parameter
Sample Variance
Data Set
20. To calculate the percentile take the number of values less than x - divide by total number of values and times by 100.
Percentile
Simple random sample
S
p value two tailed test
21. A descriptive tool used to visually describe the characteristics and relationships of collections of data quickly and attractively
Sample
Simple random sample
Statistic (note there is no 's' at the end)
Graph
22. A survey that includes every item or individual of the population
Exploratory data analysis
Numerical measurement describing some characteristics of a population.
Census
Alpha (a)
23. A quantity calculated from data gathered from a sample- usually used to estimate a population parameter
Discrete Data
Inferential Statistics
Sample Size
Statistic
24. Sample variance
Representative Sample
s2
Descriptive Statistics
Discrete Data
25. An individual data value which lies far (above or below) from most or all of the other data values within a distribution
Relative frequency histogram
Exploratory data analysis
Outlier
p value right tail
26. Is a number that describes a characteristic of a population
Parameter
Ordinal
Sample
p value right tail
27. Population variance
Random Sample or Probability Sample
Sample Variance
x
s2
28. (largest data value) - (smallest data value)
range
Statistic
S x
Skewed Distribution
29. Parameter
Parameter
Population Size
Numerical measurement describing some characteristics of a population.
The effect of extreme values on the measures of center
30. Lowercase sigma; population standard deviaition
Variable
Systematic sampling
s
The effect of extreme values on the measures of center
31. An efficient method of graphing information using actual amounts: clusters - gaps - outliers are clearly identified.
Representative Sample
Stem and leaf plots
p
Ordinal
32. One extreme value can affect it dramatically.
Sample Size
p
What symbol must always be found in H0
The effect of extreme values on the measures of center
33. Alternative hypothesis
H1
The 2 measures of relative standing
Outlier
Nominal
34. Square the standard deviation and to find the population variance square of the population standard deviation
p
Sample Variance
Statistic
Numerical measurement describing some characteristics of a population.
35. Is the process of using SAMPLE INFORMATION to draw inferences or conclusions about the POPULATION
Inferential Statistics
Representative Sample
Frequency
Sampling
36. Sum of the values
s
H0
S x
Parameter
37. 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
x
Alpha (a)
q
Random Sample or Probability Sample
38. Range - standard deviation and variance.
The 3 measures of variation
p value left tail
p value right tail
Numerical measurement describing some characteristics of a population.
39. Information about individuals in a population
Data
Sample Variance
Categorical Variable
Variable
40. Determine the location of the middle value of all the data values
Cluster sampling
Center of Distribution
Parameter
s
41. 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).
Parameter
Statistics
Statistic
Interval
42. Using graphs and numerical summaries to describe variables in a data set and their relationship
Exploratory data analysis
Data
Median
Center of Distribution
43. To find the range subtract the lowest value by the highest value.
Sample Variance
Range
Stem-and-Leaf display
Sample
44. Sample proportion
n
p
Statistic (note there is no 's' at the end)
Outlier
45. Statistics
Dot plots
Distribution
Numerical measurement describing some characteristic of a sample.
Self-selected sample
46. Sample size or number of trials
q
Sample
Raw Data
n
47. Before they are arranged or analyzed - information or observations are called________.
Sample
Raw Data
p value two tailed test
s2
48. Probability of event A
Statistic (note there is no 's' at the end)
P(A)
Discrete numerical data
p
49. 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
Center of Distribution
Variable
Outliers
Distribution
50. A number that is used to describe a characteristic of a sample - such as a sample average - is called a __________.
Statistic
Observational study
s
Categorical Variable
Can you answer 50 questions in 15 minutes?
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