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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. A method of data collection in which the objects of study are observed in their natural settings and the variables are recorded
p value two tailed test
Observational study
p
Sample Variance
2. _______________ are numerical values that can assume only a limited number of values
Independent events
Discrete Data
Symmetric Distribution
Sample
3. Type of information - usually a property of characteristic of a person or thing that is measured or observed
Independent events
Numerical Variable
Variable
Data Set
4. Is a sample containing similar characteristics of the population
Strata sampling
Representative Sample
Dependent events
Self-selected sample
5. Square the standard deviation and to find the population variance square of the population standard deviation
Numerical measurement describing some characteristics of a population.
Sample Variance
Categorical Variable
Median
6. Range - standard deviation and variance.
Convenience sampling
The 3 measures of variation
Distribution
range
7. 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
Representative Sample
Simple random sample
Skewed Distribution
Statistic (note there is no 's' at the end)
8. The number of times each data value occurs
Census
Population
Frequency
9. Is the process of selecting a portion - or sample - of the entire population
Sample Variance
Sampling
Discrete numerical data
Stem and leaf plots
10. A method of experimentation in which you can control as many variables as possible in order to isolate the effects of a response variable
Statistic (note there is no 's' at the end)
Systematic sampling
Designed experiment
Sample Variance
11. Collection of information from a sample
Survey
The 3 measures of variation
Alpha (a)
Variable
12. Type II error is measured
Frequency
Distribution
Characteristic of a distribution
13. 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
Discrete Data
Characteristic of a distribution
Sample
Statistics
14. 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.
Observational study
Frequency
Pictograph
15. 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
Parameter
p value left tail
Systematic sampling
16. Sample mean
N
x
The 2 measures of relative standing
Graph
17. To divide the population into 2 or more non-overlapping subsets called strata
Strata sampling
Statistic (note there is no 's' at the end)
What symbol must always be found in H0
Ratio
18. Population is organized into groups (i.e - neighborhoods/departments) - and sampling unit is selected by a simple random sample
p
Outliers
The effect of extreme values on the measures of center
Cluster sampling
19. Before they are arranged or analyzed - information or observations are called________.
Raw Data
Survey
Population
Categorical Variable
20. A method in which you randomly choose one number from 'l' to 'k' and continue to select the kth element
Representative Sample
Systematic sampling
Center of Distribution
Distribution
21. Is denoted by 'N' - is the number of data values in the population
The effect of extreme values on the measures of center
The 2 measures of relative standing
Population Size
S
22. Sum of the values
S x
Outliers
S
Cluster sampling
23. Sample standard deviation
s
Stem and leaf plots
Statistic
24. 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
Stem-and-Leaf display
s2
Parameter
N
25. Is the process of using SAMPLE INFORMATION to draw inferences or conclusions about the POPULATION
Inferential Statistics
Percentile
Distribution
Alpha (a)
26. Is a sample that has the pertinent characteristics of the population in the same proportion - as they are included in that population
H1
Representative Sample
27. To calculate the percentile take the number of values less than x - divide by total number of values and times by 100.
Survey
Percentile
Dependent events
Data Set
28. The variable value can be represented as isolated points on a number line
Parameter
Population
Discrete numerical data
Data
29. For a left tailed test use normalcdf(-999 - ZTS)
Parameter
p value left tail
P(A)
Alpha (a)
30. Test use normalcdf(ZTS -999)
Inferential Statistics
n
p value right tail
p value left tail
31. Sample variance
Numerical measurement describing some characteristics of a population.
Nominal
s2
p
32. Can be used to get an initial graphical view of data
Stem-and-Leaf display
Census
Dot plots
Stem and leaf plots
33. Population proportion
p
s2
S
x
34. Is denoted by 'n' - is the number of data values in the sample
Sample Size
Characteristic of a distribution
Data
Census
35. Create a sample by using data from population members that are readily available
Strata sampling
Convenience sampling
Skewed Distribution
range
36. A collection of individuals about which we want to draw conclusions
Representative Sample
Population
Representative Sample
Discrete Data
37. Always use a equal symbol
What symbol must always be found in H0
Exploratory data analysis
Center of Distribution
Sample
38. 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
p
Ordinal
Outlier
H1
39. The pattern of variation of data. The distribution may be described as symmetrical - positively skewed - or negatively skewed
Statistics
Distribution
s
The effect of extreme values on the measures of center
40. Uses numerical and or visual techniques to summarize or describe the data in a clear effective manner
Center of Distribution
Descriptive Statistics
Outlier
Disjoint event
41. 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
Alpha (a)
Convenience sampling
Median
Pictograph
42. 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
Random Sample or Probability Sample
Center of Distribution
Census
Skewed Distribution
43. A numerical quantity measuring some aspect of the population
Numerical measurement describing some characteristics of a population.
Parameter
Statistic
Frequency
44. Probability of event A
x
S
P(A)
range
45. One extreme value can affect it dramatically.
The effect of extreme values on the measures of center
Descriptive Statistics
Parameter
Exploratory data analysis
46. 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
s2
Descriptive Statistics
Dot plots
Nominal
47. A number that is used to describe a characteristic of a sample - such as a sample average - is called a __________.
Variable
Alpha (a)
Statistic
48. Has the same shape and horizontal scale as a histogram - but the vertical scale is marked with relative frequencies instead of actual frequencies
Relative frequency histogram
Stem and leaf plots
Exploratory data analysis
Discrete numerical data
49. Disjoint events cannot overlap. They are mutually exclusive if they cannot occur at the same time.
n
Survey
Census
Disjoint event
50. A descriptive tool used to visually describe the characteristics and relationships of collections of data quickly and attractively
Survey
Graph
Dependent events
Ratio