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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. 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
Distribution
Discrete numerical data
Continuous Data
2. Create a sample by using data from population members that are readily available
Convenience sampling
Sample Variance
p
S
3. 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
range
Symmetric Distribution
Data
Statistic
4. Can be used to get an initial graphical view of data
Population Size
Bias
Dot plots
Statistic
5. The pattern of variation of data. The distribution may be described as symmetrical - positively skewed - or negatively skewed
Outlier
Disjoint event
Population
Distribution
6. A number that is used to describe a characteristic of a sample - such as a sample average - is called a __________.
Statistic (note there is no 's' at the end)
s2
Statistic
Sample Variance
7. Parameter
Numerical measurement describing some characteristics of a population.
Survey
Cluster sampling
n
8. To find the range subtract the lowest value by the highest value.
Range
p value two tailed test
Characteristic of a distribution
Relative frequency histogram
9. Sample variance
Representative Sample
The effect of extreme values on the measures of center
s2
Outliers
10. Sample proportion
Numerical Variable
p
Random Sample or Probability Sample
Survey
11. A collection of individuals about which we want to draw conclusions
The effect of extreme values on the measures of center
Sampling
Discrete Data
Population
12. Collection of information from the whole population
Descriptive Statistics
Census
The 2 measures of relative standing
Representative Sample
13. 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.
Raw Data
Self-selected sample
Pictograph
Statistic
14. (largest data value) - (smallest data value)
Survey
Simple random sample
Dot plots
range
15. 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).
Interval
S x
Numerical measurement describing some characteristic of a sample.
Cluster sampling
16. A subset of the population- it's important to choose a sample at random to avoid bias in the results
Sample
Characteristic of a distribution
Numerical Variable
The 3 measures of variation
17. To divide the population into 2 or more non-overlapping subsets called strata
Strata sampling
Sampling
Parameter
s2
18. 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
Center of Distribution
Simple Random Sample
The effect of extreme values on the measures of center
Population Size
19. Is the portion of the population that is selected for study
Disjoint event
Sample
Sample Variance
p
20. Capital sigma; summation
Center of Distribution
Continuous Data
Data
S
21. The important aspects of the data are called?
q
Census
Characteristic of a distribution
Relative frequency histogram
22. Sample mean
x
The 4 measures of center
Cluster sampling
Characteristic of a distribution
23. Sum of the values
Census
Descriptive Statistics
S x
Ordinal
24. 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
Sampling
S x
Population
Ratio
25. The variable value can be represented as isolated points on a number line
p value left tail
Discrete numerical data
Variable
Census
26. Null hypothesis
Data Set
H0
Random Sample or Probability Sample
Inferential Statistics
27. Type II error is measured
Systematic sampling
Simple random sample
Statistic
28. Information about individuals in a population
Sample Size
Data
Interval
29. A method of experimentation in which you can control as many variables as possible in order to isolate the effects of a response variable
Inferential Statistics
s2
p value left tail
Designed experiment
30. 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
Data Set
Outliers
s
Sample
31. Variable where the value is a number that results from a measurement process - also called numerical data
Simple Random Sample
Outlier
Representative Sample
Numerical Variable
32. Is the process of selecting a portion - or sample - of the entire population
range
Skewed Distribution
Frequency histogram
Sampling
33. Represents categories - and is nonnumerical in nature
Categorical Variable
n
Convenience sampling
s2
34. Statistics
The 4 measures of center
Numerical measurement describing some characteristic of a sample.
Independent events
Sample
35. A descriptive tool used to visually describe the characteristics and relationships of collections of data quickly and attractively
H0
Graph
Skewed Distribution
Cluster sampling
36. A survey that includes every item or individual of the population
Observational study
Independent events
Census
Relative frequency histogram
37. Population proportion
Relative frequency histogram
Census
The 2 measures of relative standing
p
38. 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
Continuous Data
Systematic sampling
Skewed Distribution
x
39. 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
Dependent events
Nominal
Simple Random Sample
Population Size
40. Uses numerical and or visual techniques to summarize or describe the data in a clear effective manner
Descriptive Statistics
Dependent events
The effect of extreme values on the measures of center
s2
41. A method in which you randomly choose one number from 'l' to 'k' and continue to select the kth element
S x
Raw Data
Systematic sampling
42. An efficient method of graphing information using actual amounts: clusters - gaps - outliers are clearly identified.
What symbol must always be found in H0
Self-selected sample
Stem and leaf plots
The 2 measures of relative standing
43. 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
Statistics
p value left tail
Sample
S x
44. _______________ 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
Simple Random Sample
q
Parameter
45. Complement of p
Continuous Data
Sample
q
p value two tailed test
46. Occur when one does not affect the probability of the occurrence of the other.
Convenience sampling
Independent events
Sample
s
47. Range - standard deviation and variance.
Numerical measurement describing some characteristic of a sample.
Simple Random Sample
The 3 measures of variation
Graph
48. Before they are arranged or analyzed - information or observations are called________.
Range
Cluster sampling
Descriptive Statistics
Raw Data
49. Sample size or number of trials
Sample Size
P(A)
n
s
50. Standard scores and percentile
Sample
The 2 measures of relative standing
Distribution
p value right tail