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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. 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
Parameter
q
2. Determine the location of the middle value of all the data values
Distribution
Center of Distribution
Bias
Systematic sampling
3. Type of bar graph that shows frequency distributions
Frequency histogram
p value left tail
Census
4. 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.
Pictograph
Ordinal
Population Size
Categorical Variable
5. Mean - mode - median and midrange.
Frequency histogram
Distribution
Data Set
The 4 measures of center
6. A flaw in the sampling procedure that makes it more likely that the sample will NOT be representative of population
Frequency histogram
Bias
Statistic
Variable
7. Collection of information from a sample
Stem and leaf plots
Parameter
Symmetric Distribution
Survey
8. A numerical quantity measuring some aspect of the population
Dependent events
Stem and leaf plots
Parameter
Disjoint event
9. Is a collection of several data pertaining to one or more variables
p value two tailed test
Percentile
Median
Data Set
10. A method of data collection where the researcher selects a sample from the population and measures the variable of interest
Simple random sample
Survey
Discrete Data
Dependent events
11. Sample proportion
Characteristic of a distribution
p
Inferential Statistics
H1
12. Standard scores and percentile
Discrete Data
n
Data Set
The 2 measures of relative standing
13. Is a sample containing similar characteristics of the population
Alpha (a)
Frequency histogram
Representative Sample
Distribution
14. Is the process of selecting a portion - or sample - of the entire population
Center of Distribution
N
Sampling
Sample
15. Population proportion
Data
p
Independent events
N
16. An efficient method of graphing information using actual amounts: clusters - gaps - outliers are clearly identified.
Independent events
Stem and leaf plots
s2
17. _______________ are numerical measurements that can assume any value between two numbers
Continuous Data
s
Ordinal
Systematic sampling
18. Double the answer from step 1 or step 2 (on whichever side your test statistics falls).
Sample
p value two tailed test
Relative frequency histogram
p
19. One extreme value can affect it dramatically.
n
Frequency histogram
Self-selected sample
The effect of extreme values on the measures of center
20. Population size
Nominal
Self-selected sample
N
The 2 measures of relative standing
21. A method of data collection in which the objects of study are observed in their natural settings and the variables are recorded
p value two tailed test
Outliers
Observational study
Dependent events
22. 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
Ordinal
Stem-and-Leaf display
p value right tail
Continuous Data
23. Is the portion of the population that is selected for study
Parameter
S x
Sample
Frequency
24. 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
Simple random sample
Distribution
Simple Random Sample
25. 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).
Dot plots
Data Set
p
Interval
26. Sample mean
Variable
Discrete Data
x
Population
27. 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
s2
Population
Convenience sampling
28. 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
The 2 measures of relative standing
Distribution
Outlier
Symmetric Distribution
29. _______________ 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
Data Set
Symmetric Distribution
30. Population is organized into groups (i.e - neighborhoods/departments) - and sampling unit is selected by a simple random sample
Representative Sample
Descriptive Statistics
Cluster sampling
Discrete numerical data
31. 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
Alpha (a)
S x
Statistics
Data Set
32. (largest data value) - (smallest data value)
x
Frequency
Population
range
33. 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
H0
Median
Categorical Variable
Simple Random Sample
34. Is the entire collection of all individuals or objects of interest
Median
Population
Sampling
Distribution
35. The pattern of variation of data. The distribution may be described as symmetrical - positively skewed - or negatively skewed
s
Systematic sampling
Numerical Variable
Distribution
36. Complement of p
q
p value two tailed test
Representative Sample
p
37. The variable value can be represented as isolated points on a number line
Independent events
The 4 measures of center
Exploratory data analysis
Discrete numerical data
38. Population variance
Pictograph
Interval
p value left tail
s2
39. A descriptive tool used to visually describe the characteristics and relationships of collections of data quickly and attractively
Graph
Raw Data
Ordinal
Population
40. Null hypothesis
What symbol must always be found in H0
H0
s
Sampling
41. Using graphs and numerical summaries to describe variables in a data set and their relationship
s2
Descriptive Statistics
Exploratory data analysis
Bias
42. A number that is used to describe a characteristic of a sample - such as a sample average - is called a __________.
Raw Data
H0
Descriptive Statistics
Statistic
43. A survey that includes every item or individual of the population
What symbol must always be found in H0
Statistic (note there is no 's' at the end)
Sample
Census
44. Uses numerical and or visual techniques to summarize or describe the data in a clear effective manner
Descriptive Statistics
Numerical measurement describing some characteristic of a sample.
Self-selected sample
Categorical Variable
45. Probability of event A
Numerical measurement describing some characteristics of a population.
Survey
P(A)
46. Is the process of using SAMPLE INFORMATION to draw inferences or conclusions about the POPULATION
S x
Survey
Data
Inferential Statistics
47. Always use a equal symbol
What symbol must always be found in H0
Representative Sample
Numerical measurement describing some characteristics of a population.
Population
48. Type of information - usually a property of characteristic of a person or thing that is measured or observed
Inferential Statistics
Stem-and-Leaf display
Variable
Simple Random Sample
49. An individual data value which lies far (above or below) from most or all of the other data values within a distribution
Survey
Outliers
Numerical measurement describing some characteristics of a population.
Outlier
50. Is a number that describes a characteristic of a sample
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