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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. The variable value can be represented as isolated points on a number line
Discrete numerical data
The 3 measures of variation
The effect of extreme values on the measures of center
H0
2. Variable where the value is a number that results from a measurement process - also called numerical data
Stem-and-Leaf display
Center of Distribution
x
Numerical Variable
3. To calculate the percentile take the number of values less than x - divide by total number of values and times by 100.
Distribution
Independent events
Percentile
Distribution
4. A method of data collection in which the objects of study are observed in their natural settings and the variables are recorded
Simple Random Sample
Observational study
Skewed Distribution
Sample
5. Lowercase sigma; population standard deviaition
Survey
Population
Parameter
s
6. 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
Pictograph
p value right tail
Simple random sample
P(A)
7. 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
Discrete numerical data
Strata sampling
Sample Size
Skewed Distribution
8. _______________ 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
Distribution
Statistic
s
p value right tail
9. 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
Continuous Data
Raw Data
Statistic (note there is no 's' at the end)
Statistics
10. A quantity calculated from data gathered from a sample- usually used to estimate a population parameter
Symmetric Distribution
The 2 measures of relative standing
Statistic
Data
11. 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
Dot plots
Sample
Numerical measurement describing some characteristic of a sample.
Outliers
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
Statistics
Alpha (a)
Population
Systematic sampling
13. Occur when one does not affect the probability of the occurrence of the other.
Data Set
Random Sample or Probability Sample
Independent events
14. (largest data value) - (smallest data value)
range
Inferential Statistics
Descriptive Statistics
The 2 measures of relative standing
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
Distribution
Sample
Symmetric Distribution
The 4 measures of center
16. Population variance
Designed experiment
Dot plots
p value two tailed test
s2
17. Is denoted by 'n' - is the number of data values in the sample
Sample Size
The 3 measures of variation
What symbol must always be found in H0
n
18. A sample which is selected in such a manner - that each data value of the population has a non-zero probability of being selected for the sample
s2
Random Sample or Probability Sample
Categorical Variable
Sampling
19. To find the range subtract the lowest value by the highest value.
q
S x
The effect of extreme values on the measures of center
Range
20. Parameter
Nominal
Numerical measurement describing some characteristics of a population.
Survey
Symmetric Distribution
21. Population is organized into groups (i.e - neighborhoods/departments) - and sampling unit is selected by a simple random sample
What symbol must always be found in H0
Range
Cluster sampling
Variable
22. Standard scores and percentile
The 2 measures of relative standing
Representative Sample
s
Numerical Variable
23. Represents categories - and is nonnumerical in nature
Graph
Dot plots
Categorical Variable
range
24. 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
Independent events
Cluster sampling
Dot plots
25. Is a number that describes a characteristic of a population
Observational study
Parameter
s
Independent events
26. Disjoint events cannot overlap. They are mutually exclusive if they cannot occur at the same time.
Variable
Disjoint event
Observational study
Percentile
27. Determine the location of the middle value of all the data values
Frequency histogram
Center of Distribution
Bias
H0
28. Complement of p
Population
Interval
q
29. Mean - mode - median and midrange.
The 4 measures of center
p value left tail
Population
Convenience sampling
30. Square the standard deviation and to find the population variance square of the population standard deviation
Graph
Convenience sampling
Sample Variance
Ordinal
31. For a left tailed test use normalcdf(-999 - ZTS)
p
Survey
p value left tail
Survey
32. Using graphs and numerical summaries to describe variables in a data set and their relationship
Exploratory data analysis
Census
Outliers
Strata sampling
33. Is a collection of several data pertaining to one or more variables
Variable
Sampling
H1
Data Set
34. Alternative hypothesis
Sample Variance
H1
Data Set
Parameter
35. A method in which you randomly choose one number from 'l' to 'k' and continue to select the kth element
Systematic sampling
Nominal
Variable
Sample Size
36. Collection of information from the whole population
Outlier
Discrete Data
Census
q
37. A survey that includes every item or individual of the population
Census
q
x
Center of Distribution
38. 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
Categorical Variable
Simple Random Sample
s2
s
39. Null hypothesis
p value right tail
Pictograph
H0
Simple random sample
40. 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
Ratio
Disjoint event
Median
Sampling
41. Create a sample by using data from population members that are readily available
Convenience sampling
n
Data
42. 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
n
Census
Range
43. Type of bar graph that shows frequency distributions
Survey
Stem and leaf plots
Frequency
Frequency histogram
44. Is the process of using SAMPLE INFORMATION to draw inferences or conclusions about the POPULATION
Parameter
Inferential Statistics
Numerical Variable
Sampling
45. Sample size or number of trials
Convenience sampling
Survey
n
Categorical Variable
46. Information about individuals in a population
Representative Sample
Raw Data
Dot plots
Data
47. Test use normalcdf(ZTS -999)
p value right tail
Descriptive Statistics
Distribution
Exploratory data analysis
48. _______________ are numerical measurements that can assume any value between two numbers
Strata sampling
Numerical measurement describing some characteristics of a population.
Continuous Data
q
49. Is a number that describes a characteristic of a sample
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50. A numerical quantity measuring some aspect of the population
Census
Raw Data
Designed experiment
Parameter