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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. Type II error is measured
S x
Bias
Numerical Variable
2. 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
The effect of extreme values on the measures of center
Sampling
Skewed Distribution
What symbol must always be found in H0
3. Population proportion
p
Sample
The effect of extreme values on the measures of center
Numerical Variable
4. Population size
Relative frequency histogram
Population
s
N
5. 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
s
Alpha (a)
S
n
6. The important aspects of the data are called?
Inferential Statistics
Parameter
Statistics
Characteristic of a distribution
7. A subset of the population- it's important to choose a sample at random to avoid bias in the results
Simple random sample
Continuous Data
Sample
Representative Sample
8. Sample mean
x
p value right tail
q
Simple Random Sample
9. An individual data value which lies far (above or below) from most or all of the other data values within a distribution
Frequency histogram
Outlier
Inferential Statistics
Discrete numerical data
10. Disjoint events cannot overlap. They are mutually exclusive if they cannot occur at the same time.
Discrete numerical data
Disjoint event
Random Sample or Probability Sample
Graph
11. Type of information - usually a property of characteristic of a person or thing that is measured or observed
Discrete Data
Simple Random Sample
Variable
Percentile
12. A method of data collection where the researcher selects a sample from the population and measures the variable of interest
Survey
Discrete Data
Parameter
p
13. To calculate the percentile take the number of values less than x - divide by total number of values and times by 100.
Discrete numerical data
Graph
Percentile
range
14. Is denoted by 'N' - is the number of data values in the population
Distribution
p value right tail
Statistic
Population Size
15. Occur when one does not affect the probability of the occurrence of the other.
Cluster sampling
Statistic
Census
Independent events
16. Population variance
The 4 measures of center
Nominal
s2
Sampling
17. Mean - mode - median and midrange.
P(A)
S x
The 4 measures of center
Census
18. A method of data collection in which the objects of study are observed in their natural settings and the variables are recorded
s2
Observational study
P(A)
Representative Sample
19. Mu; population mean
Ratio
Distribution
What symbol must always be found in H0
20. Is a number that describes a characteristic of a population
Parameter
The 3 measures of variation
Sample
Census
21. A numerical quantity measuring some aspect of the population
q
Raw Data
Sample
Parameter
22. _______________ are numerical values that can assume only a limited number of values
Discrete Data
Census
p
What symbol must always be found in H0
23. _______________ are numerical measurements that can assume any value between two numbers
Continuous Data
Statistic
Range
Population Size
24. Information about individuals in a population
Data
Outlier
Survey
Characteristic of a distribution
25. Is the process of using SAMPLE INFORMATION to draw inferences or conclusions about the POPULATION
Simple random sample
Inferential Statistics
Sample
Parameter
26. Is the portion of the population that is selected for study
Stem and leaf plots
Sample
Stem-and-Leaf display
Survey
27. An efficient method of graphing information using actual amounts: clusters - gaps - outliers are clearly identified.
Stem and leaf plots
Sample
Random Sample or Probability Sample
Range
28. Capital sigma; summation
S
Sample Variance
Parameter
Descriptive Statistics
29. A quantity calculated from data gathered from a sample- usually used to estimate a population parameter
Statistic
range
Random Sample or Probability Sample
x
30. Can be used to get an initial graphical view of data
Dot plots
Population Size
Outlier
p
31. (largest data value) - (smallest data value)
Dot plots
s
range
Numerical measurement describing some characteristic of a sample.
32. Variable where the value is a number that results from a measurement process - also called numerical data
Numerical Variable
Convenience sampling
Designed experiment
Parameter
33. 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
H1
q
Independent events
34. Is a collection of several data pertaining to one or more variables
S
Data Set
Population
Representative Sample
35. Occur when one of them affects the probability of the other.
Population
Graph
Dependent events
Range
36. 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
p
Stem-and-Leaf display
Numerical Variable
Sample
37. 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
Cluster sampling
x
Median
38. Lowercase sigma; population standard deviaition
Discrete numerical data
Numerical Variable
Inferential Statistics
s
39. Probability of event A
n
Statistic
P(A)
Designed experiment
40. A number that is used to describe a characteristic of a sample - such as a sample average - is called a __________.
Representative Sample
Parameter
Inferential Statistics
Statistic
41. 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
Parameter
Ordinal
Simple random sample
p
42. Sample size or number of trials
Parameter
Representative Sample
n
Census
43. A descriptive tool used to visually describe the characteristics and relationships of collections of data quickly and attractively
Designed experiment
q
Median
Graph
44. A survey that includes every item or individual of the population
n
Census
Frequency histogram
Center of Distribution
45. A method in which you randomly choose one number from 'l' to 'k' and continue to select the kth element
H1
Systematic sampling
Relative frequency histogram
x
46. Always use a equal symbol
Numerical measurement describing some characteristics of a population.
What symbol must always be found in H0
Dot plots
Categorical Variable
47. Sample proportion
p
Self-selected sample
Statistic
s2
48. The variable value can be represented as isolated points on a number line
Discrete numerical data
Alpha (a)
Sample
Descriptive Statistics
49. Using graphs and numerical summaries to describe variables in a data set and their relationship
Self-selected sample
H1
Numerical Variable
Exploratory data analysis
50. _______________ 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
Cluster sampling
Convenience sampling
Distribution
Sample Size