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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. Is denoted by 'n' - is the number of data values in the sample
Sample Size
Outliers
Parameter
Frequency histogram
2. Sample variance
Frequency
s2
Simple Random Sample
Observational study
3. 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
Relative frequency histogram
Median
Ordinal
4. Parameter
Stem-and-Leaf display
Sample
H1
Numerical measurement describing some characteristics of a population.
5. 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
Center of Distribution
Ratio
Raw Data
n
6. 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
n
s2
Ordinal
Outlier
7. To find the range subtract the lowest value by the highest value.
Range
Census
The 3 measures of variation
Strata sampling
8. 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
Stem-and-Leaf display
Data Set
Cluster sampling
9. Can be used to get an initial graphical view of data
p value right tail
n
Dot plots
Population
10. A descriptive tool used to visually describe the characteristics and relationships of collections of data quickly and attractively
Center of Distribution
x
Graph
Designed experiment
11. 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
x
s2
Random Sample or Probability Sample
Simple Random Sample
12. (largest data value) - (smallest data value)
Relative frequency histogram
Dot plots
range
The 3 measures of variation
13. _______________ are numerical values that can assume only a limited number of values
Outlier
Statistic
Discrete Data
Census
14. Type of bar graph that shows frequency distributions
Graph
N
Census
Frequency histogram
15. A numerical quantity measuring some aspect of the population
S
Dependent events
Parameter
H1
16. The pattern of variation of data. The distribution may be described as symmetrical - positively skewed - or negatively skewed
Distribution
Bias
The 4 measures of center
Exploratory data analysis
17. Sample mean
Relative frequency histogram
x
Distribution
Alpha (a)
18. To calculate the percentile take the number of values less than x - divide by total number of values and times by 100.
n
S x
Percentile
Sampling
19. A subset of the population- it's important to choose a sample at random to avoid bias in the results
Continuous Data
Sample
s
H0
20. Null hypothesis
H0
Discrete Data
Bias
s2
21. 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
Cluster sampling
Parameter
Data Set
Simple random sample
22. Is a sample that has the pertinent characteristics of the population in the same proportion - as they are included in that population
Categorical Variable
p
The 4 measures of center
Representative Sample
23. A survey that includes every item or individual of the population
Outlier
Census
Inferential Statistics
Percentile
24. Variable where the value is a number that results from a measurement process - also called numerical data
Simple Random Sample
Discrete numerical data
Pictograph
Numerical Variable
25. Range - standard deviation and variance.
p value left tail
The 3 measures of variation
Discrete numerical data
Systematic sampling
26. Sample standard deviation
Outlier
s
Frequency
Data Set
27. The variable value can be represented as isolated points on a number line
Discrete numerical data
Parameter
Pictograph
The effect of extreme values on the measures of center
28. A flaw in the sampling procedure that makes it more likely that the sample will NOT be representative of population
Numerical Variable
p
Bias
Center of Distribution
29. A method in which you randomly choose one number from 'l' to 'k' and continue to select the kth element
p
s2
p value left tail
Systematic sampling
30. 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.
Sampling
Exploratory data analysis
H1
Pictograph
31. Before they are arranged or analyzed - information or observations are called________.
Variable
Raw Data
Statistics
Simple random sample
32. Is a collection of several data pertaining to one or more variables
Data Set
H1
Range
n
33. Members of the population select themselves by volunteering
Center of Distribution
Self-selected sample
Population Size
Distribution
34. Information about individuals in a population
Graph
Statistic
Data
H0
35. Is denoted by 'N' - is the number of data values in the population
range
Outlier
p value right tail
Population Size
36. _______________ are numerical measurements that can assume any value between two numbers
Discrete Data
Continuous Data
Percentile
s
37. An individual data value which lies far (above or below) from most or all of the other data values within a distribution
Distribution
Stem-and-Leaf display
Statistic
Outlier
38. Statistics
Frequency histogram
Sample Size
Numerical measurement describing some characteristic of a sample.
Stem-and-Leaf display
39. 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
S x
Inferential Statistics
Random Sample or Probability Sample
40. Double the answer from step 1 or step 2 (on whichever side your test statistics falls).
S x
p value two tailed test
q
Range
41. A method of data collection in which the objects of study are observed in their natural settings and the variables are recorded
x
Observational study
Independent events
s2
42. Probability of event A
Dot plots
P(A)
H0
Sample
43. Always use a equal symbol
Designed experiment
What symbol must always be found in H0
Frequency
Continuous Data
44. Is a number that describes a characteristic of a sample
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45. 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
Interval
Statistics
Census
Frequency
46. Create a sample by using data from population members that are readily available
Convenience sampling
s
p
p
47. Is the portion of the population that is selected for study
Sample
S
Center of Distribution
48. Mu; population mean
Survey
x
Inferential Statistics
49. Is the process of using SAMPLE INFORMATION to draw inferences or conclusions about the POPULATION
Representative Sample
Inferential Statistics
Frequency
Distribution
50. Determine the location of the middle value of all the data values
Data
Sampling
Numerical Variable
Center of Distribution