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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. 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
Discrete numerical data
Statistics
Systematic sampling
Sample
2. Before they are arranged or analyzed - information or observations are called________.
Strata sampling
Observational study
Raw Data
Systematic sampling
3. Double the answer from step 1 or step 2 (on whichever side your test statistics falls).
Relative frequency histogram
p value two tailed test
p value right tail
Distribution
4. 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
Median
q
Statistics
Alpha (a)
5. Disjoint events cannot overlap. They are mutually exclusive if they cannot occur at the same time.
Sample
Disjoint event
s2
Ratio
6. To divide the population into 2 or more non-overlapping subsets called strata
s2
Median
Strata sampling
Data Set
7. A flaw in the sampling procedure that makes it more likely that the sample will NOT be representative of population
Frequency
Bias
What symbol must always be found in H0
P(A)
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
Numerical measurement describing some characteristic of a sample.
Percentile
Survey
Alpha (a)
9. 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
Stem-and-Leaf display
N
Statistic
Convenience sampling
10. A collection of individuals about which we want to draw conclusions
Statistic (note there is no 's' at the end)
Graph
x
Population
11. Represents categories - and is nonnumerical in nature
N
Symmetric Distribution
Convenience sampling
Categorical Variable
12. A method of data collection where the researcher selects a sample from the population and measures the variable of interest
s2
Ordinal
Strata sampling
Survey
13. 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
Statistic
Simple random sample
Alpha (a)
Discrete Data
14. Collection of information from a sample
The 2 measures of relative standing
Survey
Numerical measurement describing some characteristics of a population.
Discrete Data
15. A method of data collection in which the objects of study are observed in their natural settings and the variables are recorded
Skewed Distribution
Numerical Variable
Observational study
The effect of extreme values on the measures of center
16. Is a collection of several data pertaining to one or more variables
Relative frequency histogram
Random Sample or Probability Sample
Data Set
The 3 measures of variation
17. Population variance
Numerical measurement describing some characteristic of a sample.
range
s2
Frequency
18. A method of experimentation in which you can control as many variables as possible in order to isolate the effects of a response variable
Designed experiment
Sample
Survey
Frequency
19. Mean - mode - median and midrange.
Distribution
The 4 measures of center
Numerical Variable
Representative Sample
20. To calculate the percentile take the number of values less than x - divide by total number of values and times by 100.
The effect of extreme values on the measures of center
P(A)
Percentile
H0
21. Is a sample containing similar characteristics of the population
Representative Sample
Frequency
Strata sampling
p value two tailed test
22. 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
Symmetric Distribution
Continuous Data
The effect of extreme values on the measures of center
Population
23. Population is organized into groups (i.e - neighborhoods/departments) - and sampling unit is selected by a simple random sample
s
Discrete Data
Cluster sampling
n
24. The variable value can be represented as isolated points on a number line
range
Ordinal
Discrete numerical data
Characteristic of a distribution
25. Determine the location of the middle value of all the data values
Center of Distribution
Independent events
Sample Size
s2
26. Is a number that describes a characteristic of a sample
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27. Has the same shape and horizontal scale as a histogram - but the vertical scale is marked with relative frequencies instead of actual frequencies
Discrete Data
Relative frequency histogram
H0
Strata sampling
28. An individual data value which lies far (above or below) from most or all of the other data values within a distribution
Outlier
Stem-and-Leaf display
What symbol must always be found in H0
Survey
29. A subset of the population- it's important to choose a sample at random to avoid bias in the results
Sampling
Sample
s2
Population
30. Using graphs and numerical summaries to describe variables in a data set and their relationship
Convenience sampling
Exploratory data analysis
Pictograph
31. Is the process of using SAMPLE INFORMATION to draw inferences or conclusions about the POPULATION
Data Set
Population
Inferential Statistics
Numerical measurement describing some characteristic of a sample.
32. 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
Exploratory data analysis
Disjoint event
33. Lowercase sigma; population standard deviaition
s
The 4 measures of center
Stem-and-Leaf display
Representative Sample
34. (largest data value) - (smallest data value)
The 2 measures of relative standing
range
Outlier
Interval
35. Null hypothesis
Distribution
H0
Systematic sampling
p value two tailed test
36. To find the range subtract the lowest value by the highest value.
x
Discrete numerical data
Graph
Range
37. Standard scores and percentile
Descriptive Statistics
Systematic sampling
Self-selected sample
The 2 measures of relative standing
38. A method in which you randomly choose one number from 'l' to 'k' and continue to select the kth element
Graph
Population Size
Interval
Systematic sampling
39. One extreme value can affect it dramatically.
Range
Pictograph
The effect of extreme values on the measures of center
Distribution
40. 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
Statistics
Skewed Distribution
Statistic
41. A quantity calculated from data gathered from a sample- usually used to estimate a population parameter
Statistic
Representative Sample
Data Set
x
42. A number that is used to describe a characteristic of a sample - such as a sample average - is called a __________.
p
Variable
Statistic
Descriptive Statistics
43. Sample proportion
n
p
Skewed Distribution
44. Is the portion of the population that is selected for study
Exploratory data analysis
Percentile
Sample
p
45. Population size
N
Disjoint event
Categorical Variable
46. _______________ 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
Pictograph
Distribution
Alpha (a)
Disjoint event
47. A sample which is selected in such a manner - that each data value of the population has a non-zero probability of being selected for the sample
Nominal
The 2 measures of relative standing
Random Sample or Probability Sample
48. _______________ are numerical measurements that can assume any value between two numbers
Graph
Continuous Data
Outlier
Designed experiment
49. 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 value left tail
The effect of extreme values on the measures of center
Statistic
Ordinal
50. Sum of the values
S x
s2
n
Stem and leaf plots