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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. To calculate the percentile take the number of values less than x - divide by total number of values and times by 100.
Alpha (a)
Percentile
Outliers
Categorical Variable
2. Information about individuals in a population
Alpha (a)
Data
Pictograph
Ratio
3. Is a sample that has the pertinent characteristics of the population in the same proportion - as they are included in that population
Strata sampling
Representative Sample
p value left tail
4. Has the same shape and horizontal scale as a histogram - but the vertical scale is marked with relative frequencies instead of actual frequencies
Frequency histogram
Relative frequency histogram
Exploratory data analysis
5. A method of data collection where the researcher selects a sample from the population and measures the variable of interest
n
Cluster sampling
Skewed Distribution
Survey
6. The important aspects of the data are called?
p
Characteristic of a distribution
Percentile
The 2 measures of relative standing
7. A collection of individuals about which we want to draw conclusions
Population
Survey
p value two tailed test
Skewed Distribution
8. Represents categories - and is nonnumerical in nature
Categorical Variable
Stem and leaf plots
Census
Stem-and-Leaf display
9. For a left tailed test use normalcdf(-999 - ZTS)
Population Size
Survey
p value left tail
Nominal
10. Is a sample containing similar characteristics of the population
Sample
Numerical Variable
p value two tailed test
Representative Sample
11. Sum of the values
S x
Ratio
Census
The 2 measures of relative standing
12. Null hypothesis
Nominal
x
Statistic
H0
13. To divide the population into 2 or more non-overlapping subsets called strata
Strata sampling
Sample
H1
Numerical Variable
14. 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
Outliers
Parameter
Exploratory data analysis
Median
15. Before they are arranged or analyzed - information or observations are called________.
Statistics
Outlier
s2
Raw Data
16. Always use a equal symbol
Ordinal
Symmetric Distribution
What symbol must always be found in H0
Data Set
17. Type of bar graph that shows frequency distributions
Variable
Distribution
Frequency histogram
18. Is a collection of several data pertaining to one or more variables
Distribution
Independent events
Data Set
Systematic sampling
19. A method in which you randomly choose one number from 'l' to 'k' and continue to select the kth element
Random Sample or Probability Sample
Systematic sampling
Self-selected sample
Survey
20. Collection of information from a sample
The 2 measures of relative standing
Skewed Distribution
Survey
Categorical Variable
21. 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.
Convenience sampling
The 2 measures of relative standing
p value right tail
Pictograph
22. Population is organized into groups (i.e - neighborhoods/departments) - and sampling unit is selected by a simple random sample
p value left tail
Sample Size
Simple Random Sample
Cluster sampling
23. Sample size or number of trials
n
Disjoint event
Categorical Variable
q
24. A number that is used to describe a characteristic of a sample - such as a sample average - is called a __________.
Disjoint event
The 4 measures of center
Statistic
Characteristic of a distribution
25. Test use normalcdf(ZTS -999)
Numerical measurement describing some characteristics of a population.
Continuous Data
p value right tail
Parameter
26. Sample variance
Statistics
p
s2
Characteristic of a distribution
27. A flaw in the sampling procedure that makes it more likely that the sample will NOT be representative of population
Bias
Statistic
x
Sample
28. A descriptive tool used to visually describe the characteristics and relationships of collections of data quickly and attractively
Survey
Graph
Discrete Data
q
29. Occur when one does not affect the probability of the occurrence of the other.
Inferential Statistics
Exploratory data analysis
s
Independent events
30. Statistics
Numerical measurement describing some characteristic of a sample.
s2
Dot plots
Stem-and-Leaf display
31. Is the process of using SAMPLE INFORMATION to draw inferences or conclusions about the POPULATION
Symmetric Distribution
Ordinal
Alpha (a)
Inferential Statistics
32. Is a number that describes a characteristic of a population
The 3 measures of variation
Ordinal
Range
Parameter
33. A survey that includes every item or individual of the population
Numerical measurement describing some characteristics of a population.
Census
Parameter
Sampling
34. _______________ are numerical measurements that can assume any value between two numbers
Ordinal
Continuous Data
Frequency histogram
Census
35. Is the entire collection of all individuals or objects of interest
Population
Independent events
Census
36. An individual data value which lies far (above or below) from most or all of the other data values within a distribution
Outlier
Exploratory data analysis
Independent events
Simple random sample
37. A quantity calculated from data gathered from a sample- usually used to estimate a population parameter
x
Statistic
Sampling
Strata sampling
38. Sample mean
Descriptive Statistics
The 3 measures of variation
x
range
39. Alternative hypothesis
H1
p value two tailed test
Discrete numerical data
Sampling
40. Type II error is measured
Dependent events
Parameter
s
41. 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
Ratio
Relative frequency histogram
q
Cluster sampling
42. Complement of p
Exploratory data analysis
q
x
Ratio
43. Sample standard deviation
Inferential Statistics
s2
s
The 3 measures of variation
44. Capital sigma; summation
Statistic
S
Variable
45. Create a sample by using data from population members that are readily available
Convenience sampling
Bias
Characteristic of a distribution
Cluster sampling
46. 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
Data
Strata sampling
Sampling
47. Is a number that describes a characteristic of a sample
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48. Population variance
Relative frequency histogram
Frequency
Self-selected sample
s2
49. Lowercase sigma; population standard deviaition
s
Bias
What symbol must always be found in H0
Parameter
50. Can be used to get an initial graphical view of data
N
Symmetric Distribution
Survey
Dot plots