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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. Parameter
Distribution
p value right tail
Stem and leaf plots
Numerical measurement describing some characteristics of a population.
2. A numerical quantity measuring some aspect of the population
Parameter
Ordinal
The 4 measures of center
Statistic (note there is no 's' at the end)
3. Sum of the values
S x
Census
Discrete Data
Frequency
4. Is a number that describes a characteristic of a sample
5. A method in which you randomly choose one number from 'l' to 'k' and continue to select the kth element
Systematic sampling
Population Size
Distribution
Ratio
6. The variable value can be represented as isolated points on a number line
Stem-and-Leaf display
Discrete numerical data
Exploratory data analysis
Dependent events
7. The important aspects of the data are called?
Dot plots
Range
Characteristic of a distribution
Statistic (note there is no 's' at the end)
8. _______________ are numerical measurements that can assume any value between two numbers
s
Continuous Data
S
Frequency histogram
9. To divide the population into 2 or more non-overlapping subsets called strata
Census
Strata sampling
p value two tailed test
Discrete Data
10. Is denoted by 'n' - is the number of data values in the sample
Inferential Statistics
Sample Size
Descriptive Statistics
Strata sampling
11. Capital sigma; summation
S
Self-selected sample
Population
x
12. 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
Interval
Alpha (a)
s
x
13. Create a sample by using data from population members that are readily available
Alpha (a)
Convenience sampling
Frequency
P(A)
14. 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
Characteristic of a distribution
Outliers
Data Set
Symmetric Distribution
15. Is the process of selecting a portion - or sample - of the entire population
Independent events
x
Distribution
Sampling
16. 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
Systematic sampling
Ratio
Population
Simple random sample
17. Can be used to get an initial graphical view of data
Numerical measurement describing some characteristics of a population.
Dot plots
s
Exploratory data analysis
18. 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
Sampling
Median
Statistics
19. _______________ are numerical values that can assume only a limited number of values
p value right tail
Discrete Data
Strata sampling
Characteristic of a distribution
20. An individual data value which lies far (above or below) from most or all of the other data values within a distribution
s
Random Sample or Probability Sample
Statistics
Outlier
21. Sample mean
Inferential Statistics
H1
Discrete numerical data
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).
p value two tailed test
Interval
Median
s
23. A method of data collection where the researcher selects a sample from the population and measures the variable of interest
x
Population
Survey
24. Information about individuals in a population
Data
Outliers
Ordinal
s2
25. A collection of individuals about which we want to draw conclusions
Population
The 3 measures of variation
Discrete numerical data
Continuous Data
26. Uses numerical and or visual techniques to summarize or describe the data in a clear effective manner
Descriptive Statistics
Stem-and-Leaf display
Parameter
s
27. Population is organized into groups (i.e - neighborhoods/departments) - and sampling unit is selected by a simple random sample
s2
Cluster sampling
s
s2
28. Mu; population mean
N
Relative frequency histogram
Characteristic of a distribution
29. 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
H1
Survey
Nominal
Census
30. Population proportion
Population
p
p value right tail
31. Before they are arranged or analyzed - information or observations are called________.
s
P(A)
Numerical Variable
Raw Data
32. A quantity calculated from data gathered from a sample- usually used to estimate a population parameter
Symmetric Distribution
p
Statistic
Data
33. Probability of event A
H1
x
P(A)
Representative Sample
34. Square the standard deviation and to find the population variance square of the population standard deviation
Systematic sampling
Simple Random Sample
Sample Variance
35. A flaw in the sampling procedure that makes it more likely that the sample will NOT be representative of population
Descriptive Statistics
Bias
s
Sample Variance
36. 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.
Pictograph
H0
The 3 measures of variation
Numerical Variable
37. A number that is used to describe a characteristic of a sample - such as a sample average - is called a __________.
Census
H0
Numerical measurement describing some characteristics of a population.
Statistic
38. Is denoted by 'N' - is the number of data values in the population
Observational study
Numerical measurement describing some characteristics of a population.
Population Size
The 4 measures of center
39. The pattern of variation of data. The distribution may be described as symmetrical - positively skewed - or negatively skewed
The 3 measures of variation
Representative Sample
P(A)
Distribution
40. Occur when one does not affect the probability of the occurrence of the other.
Independent events
Percentile
Statistic (note there is no 's' at the end)
Characteristic of a distribution
41. A method of experimentation in which you can control as many variables as possible in order to isolate the effects of a response variable
S
Convenience sampling
Designed experiment
H1
42. Collection of information from a sample
Survey
Systematic sampling
What symbol must always be found in H0
s2
43. 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
p
Ratio
Variable
44. 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
p value right tail
Simple random sample
Sample
Statistics
45. Sample variance
Strata sampling
s2
Numerical Variable
Representative Sample
46. Standard scores and percentile
Data
H0
The 2 measures of relative standing
Ratio
47. Range - standard deviation and variance.
Convenience sampling
Observational study
The 3 measures of variation
Alpha (a)
48. A descriptive tool used to visually describe the characteristics and relationships of collections of data quickly and attractively
What symbol must always be found in H0
Parameter
Graph
49. Is a sample that has the pertinent characteristics of the population in the same proportion - as they are included in that population
Representative Sample
Interval
Outliers
Skewed Distribution
50. Test use normalcdf(ZTS -999)
p value right tail
Numerical measurement describing some characteristic of a sample.
Continuous Data
The 2 measures of relative standing