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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. Statistics
Frequency histogram
Percentile
Symmetric Distribution
Numerical measurement describing some characteristic of a sample.
2. Disjoint events cannot overlap. They are mutually exclusive if they cannot occur at the same time.
Self-selected sample
Outlier
P(A)
Disjoint event
3. Represents categories - and is nonnumerical in nature
Random Sample or Probability Sample
Simple Random Sample
Outliers
Categorical Variable
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
Numerical measurement describing some characteristics of a population.
Parameter
Sample Size
5. The variable value can be represented as isolated points on a number line
x
q
Discrete numerical data
Statistic
6. A descriptive tool used to visually describe the characteristics and relationships of collections of data quickly and attractively
Graph
Numerical measurement describing some characteristics of a population.
Raw Data
Categorical Variable
7. Is a number that describes a characteristic of a population
Statistics
Parameter
Continuous Data
Frequency
8. Is the process of using SAMPLE INFORMATION to draw inferences or conclusions about the POPULATION
Bias
The 4 measures of center
Population
Inferential Statistics
9. To find the range subtract the lowest value by the highest value.
Characteristic of a distribution
Nominal
Range
Percentile
10. Null hypothesis
H0
Cluster sampling
Statistic
11. Determine the location of the middle value of all the data values
Discrete numerical data
Center of Distribution
Strata sampling
Systematic sampling
12. The number of times each data value occurs
Graph
p value left tail
Frequency
n
13. Capital sigma; summation
Self-selected sample
S
Sample
Bias
14. Test use normalcdf(ZTS -999)
Continuous Data
Outlier
p value right tail
Sample
15. Occur when one does not affect the probability of the occurrence of the other.
q
Random Sample or Probability Sample
H0
Independent events
16. An individual data value which lies far (above or below) from most or all of the other data values within a distribution
S x
Representative Sample
Ordinal
Outlier
17. Is a collection of several data pertaining to one or more variables
Variable
Data Set
Ordinal
Discrete numerical data
18. Range - standard deviation and variance.
range
Sample
Outlier
The 3 measures of variation
19. Always use a equal symbol
p value right tail
Numerical measurement describing some characteristics of a population.
What symbol must always be found in H0
Inferential Statistics
20. 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
p value right tail
Ordinal
Statistics
21. Sum of the values
Variable
Self-selected sample
P(A)
S x
22. 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).
Population Size
H1
q
Interval
23. Is the entire collection of all individuals or objects of interest
Sampling
Nominal
Population
Range
24. Using graphs and numerical summaries to describe variables in a data set and their relationship
Distribution
Nominal
Center of Distribution
Exploratory data analysis
25. To divide the population into 2 or more non-overlapping subsets called strata
Stem and leaf plots
Outlier
Statistics
Strata sampling
26. Is denoted by 'N' - is the number of data values in the population
Survey
Representative Sample
Population Size
p value two tailed test
27. Sample variance
s2
Sampling
Dot plots
H1
28. One extreme value can affect it dramatically.
The effect of extreme values on the measures of center
Designed experiment
S
Census
29. 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
Numerical measurement describing some characteristic of a sample.
Center of Distribution
Designed experiment
Skewed Distribution
30. The important aspects of the data are called?
Population
Statistic (note there is no 's' at the end)
Stem and leaf plots
Characteristic of a distribution
31. 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
Sampling
s2
Descriptive Statistics
Ordinal
32. Collection of information from the whole population
Representative Sample
Sample
Census
H1
33. Type of bar graph that shows frequency distributions
Random Sample or Probability Sample
Frequency histogram
Frequency
Graph
34. Parameter
Numerical measurement describing some characteristics of a population.
Nominal
Center of Distribution
The effect of extreme values on the measures of center
35. Mean - mode - median and midrange.
The 4 measures of center
Statistics
Bias
Categorical Variable
36. A method of data collection in which the objects of study are observed in their natural settings and the variables are recorded
Observational study
The 4 measures of center
Representative Sample
Cluster sampling
37. Square the standard deviation and to find the population variance square of the population standard deviation
Numerical measurement describing some characteristic of a sample.
Sample Variance
Sample Size
Census
38. 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
Observational study
The 2 measures of relative standing
Population
39. _______________ are numerical values that can assume only a limited number of values
S
Alpha (a)
N
Discrete Data
40. Type II error is measured
N
Simple Random Sample
P(A)
41. Population proportion
Self-selected sample
p
S
Random Sample or Probability Sample
42. Population is organized into groups (i.e - neighborhoods/departments) - and sampling unit is selected by a simple random sample
Statistic (note there is no 's' at the end)
Cluster sampling
s2
p
43. Collection of information from a sample
Survey
Self-selected sample
n
Skewed Distribution
44. A numerical quantity measuring some aspect of the population
p value left tail
Survey
Parameter
Self-selected sample
45. Sample standard deviation
Percentile
Survey
Self-selected sample
s
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
Disjoint event
Distribution
s
What symbol must always be found in H0
47. 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
Graph
Simple random sample
P(A)
H0
48. Members of the population select themselves by volunteering
s
Numerical measurement describing some characteristics of a population.
Dot plots
Self-selected sample
49. Alternative hypothesis
Percentile
Median
Graph
H1
50. _______________ are numerical measurements that can assume any value between two numbers
Continuous Data
Designed experiment
Discrete numerical data