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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. Information about individuals in a population
Symmetric Distribution
Data
Sample
Raw Data
2. Null hypothesis
Numerical Variable
Data Set
H0
3. Occur when one of them affects the probability of the other.
Median
Numerical measurement describing some characteristic of a sample.
p value left tail
Dependent events
4. When the distribution of the data values greater than the center of the display - and the data values less than the center of the display are mirror images of each other
Population Size
Observational study
Symmetric Distribution
Numerical measurement describing some characteristic of a sample.
5. Population size
Numerical Variable
q
N
Disjoint event
6. Complement of p
Relative frequency histogram
Frequency
q
Alpha (a)
7. Parameter
Designed experiment
Numerical measurement describing some characteristics of a population.
Numerical measurement describing some characteristic of a sample.
S x
8. _______________ are numerical measurements that can assume any value between two numbers
Continuous Data
Descriptive Statistics
Parameter
p value right tail
9. An individual data value which lies far (above or below) from most or all of the other data values within a distribution
Outlier
Alpha (a)
Distribution
The 3 measures of variation
10. The number of times each data value occurs
Frequency
Data Set
Random Sample or Probability Sample
N
11. Standard scores and percentile
The 2 measures of relative standing
Statistic
Frequency
Stem-and-Leaf display
12. Is denoted by 'N' - is the number of data values in the population
Distribution
Outlier
Representative Sample
Population Size
13. 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
Symmetric Distribution
p value two tailed test
Outliers
s
14. Sample size or number of trials
n
Median
Numerical measurement describing some characteristic of a sample.
Ratio
15. Mean - mode - median and midrange.
The 4 measures of center
Stem and leaf plots
Outliers
Sample Size
16. 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
Data Set
Median
Designed experiment
Symmetric Distribution
17. Square the standard deviation and to find the population variance square of the population standard deviation
Discrete Data
Characteristic of a distribution
Survey
Sample Variance
18. Has the same shape and horizontal scale as a histogram - but the vertical scale is marked with relative frequencies instead of actual frequencies
p value right tail
Relative frequency histogram
Nominal
Representative Sample
19. A quantity calculated from data gathered from a sample- usually used to estimate a population parameter
q
Statistic
H1
Designed experiment
20. _______________ are numerical values that can assume only a limited number of values
Range
Outliers
Discrete Data
Data Set
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
Skewed Distribution
Distribution
Median
Dependent events
22. Create a sample by using data from population members that are readily available
Statistic (note there is no 's' at the end)
Random Sample or Probability Sample
Convenience sampling
Descriptive Statistics
23. A numerical quantity measuring some aspect of the population
Parameter
s2
Frequency
Pictograph
24. Population is organized into groups (i.e - neighborhoods/departments) - and sampling unit is selected by a simple random sample
Systematic sampling
x
Cluster sampling
Categorical Variable
25. An efficient method of graphing information using actual amounts: clusters - gaps - outliers are clearly identified.
The 2 measures of relative standing
Stem and leaf plots
The 4 measures of center
Ratio
26. Lowercase sigma; population standard deviaition
Ordinal
Observational study
Strata sampling
s
27. Collection of information from a sample
Survey
Frequency
s
x
28. Represents categories - and is nonnumerical in nature
Discrete numerical data
Relative frequency histogram
The effect of extreme values on the measures of center
Categorical Variable
29. Sum of the values
S x
P(A)
Outliers
Range
30. 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)
Frequency
p value right tail
Continuous Data
31. Sample variance
p
The effect of extreme values on the measures of center
Stem-and-Leaf display
s2
32. A number that is used to describe a characteristic of a sample - such as a sample average - is called a __________.
Systematic sampling
Statistic
Dependent events
Sample
33. Type of information - usually a property of characteristic of a person or thing that is measured or observed
Percentile
Descriptive Statistics
Variable
Simple random sample
34. Determine the location of the middle value of all the data values
Median
Population Size
Center of Distribution
p value two tailed test
35. Range - standard deviation and variance.
What symbol must always be found in H0
Distribution
Cluster sampling
The 3 measures of variation
36. To divide the population into 2 or more non-overlapping subsets called strata
Strata sampling
H0
Dot plots
p
37. Mu; population mean
Designed experiment
Strata sampling
Characteristic of a distribution
38. Type II error is measured
The 3 measures of variation
Outlier
Sampling
39. Statistics
Outliers
p value two tailed test
Variable
Numerical measurement describing some characteristic of a sample.
40. The pattern of variation of data. The distribution may be described as symmetrical - positively skewed - or negatively skewed
n
Distribution
Data Set
H1
41. Variable where the value is a number that results from a measurement process - also called numerical data
Representative Sample
Numerical Variable
Outlier
q
42. Capital sigma; summation
S
Distribution
Ratio
Outliers
43. Double the answer from step 1 or step 2 (on whichever side your test statistics falls).
Strata sampling
p value two tailed test
Representative Sample
Statistic
44. Type of bar graph that shows frequency distributions
Cluster sampling
Frequency histogram
Inferential Statistics
H1
45. Before they are arranged or analyzed - information or observations are called________.
Exploratory data analysis
Variable
H1
Raw Data
46. Is a sample that has the pertinent characteristics of the population in the same proportion - as they are included in that population
s2
Representative Sample
Nominal
Skewed Distribution
47. Is the portion of the population that is selected for study
Nominal
Sample
Sample Size
Cluster sampling
48. A method of data collection where the researcher selects a sample from the population and measures the variable of interest
Distribution
Survey
Ratio
H0
49. 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
H0
Data
Census
Simple random sample
50. A subset of the population- it's important to choose a sample at random to avoid bias in the results
Stem-and-Leaf display
Distribution
S x
Sample