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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. 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
s2
n
Sample Size
2. 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
s2
Outliers
Ratio
Symmetric Distribution
3. Alternative hypothesis
H1
Dependent events
S x
Disjoint event
4. One extreme value can affect it dramatically.
Stem-and-Leaf display
Population
Cluster sampling
The effect of extreme values on the measures of center
5. Capital sigma; summation
Independent events
Sample Variance
S
What symbol must always be found in H0
6. Type of information - usually a property of characteristic of a person or thing that is measured or observed
Nominal
Stem and leaf plots
S
Variable
7. To calculate the percentile take the number of values less than x - divide by total number of values and times by 100.
Simple Random Sample
Percentile
Self-selected sample
8. Mean - mode - median and midrange.
Simple Random Sample
p value left tail
Symmetric Distribution
The 4 measures of center
9. A collection of individuals about which we want to draw conclusions
Population
Sample Size
Raw Data
Distribution
10. 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.
Ordinal
s2
P(A)
Pictograph
11. Using graphs and numerical summaries to describe variables in a data set and their relationship
Nominal
Convenience sampling
Population
Exploratory data analysis
12. 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
The 3 measures of variation
Random Sample or Probability Sample
Distribution
Statistics
13. _______________ are numerical measurements that can assume any value between two numbers
s2
p
Continuous Data
range
14. Sum of the values
Percentile
S x
Survey
Stem and leaf plots
15. A method of data collection in which the objects of study are observed in their natural settings and the variables are recorded
Observational study
Pictograph
Statistic
Strata sampling
16. A numerical quantity measuring some aspect of the population
s2
Survey
Raw Data
Parameter
17. Square the standard deviation and to find the population variance square of the population standard deviation
Sample Variance
Population Size
n
Median
18. A number that is used to describe a characteristic of a sample - such as a sample average - is called a __________.
Observational study
Cluster sampling
Statistic
Population
19. Is the process of using SAMPLE INFORMATION to draw inferences or conclusions about the POPULATION
Inferential Statistics
s
S
The 4 measures of center
20. Is a number that describes a characteristic of a sample
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21. Occur when one does not affect the probability of the occurrence of the other.
Independent events
Systematic sampling
Dot plots
22. The variable value can be represented as isolated points on a number line
Data Set
Designed experiment
Discrete numerical data
Exploratory data analysis
23. Sample proportion
Sampling
Distribution
q
p
24. Occur when one of them affects the probability of the other.
Center of Distribution
Sample
Stem and leaf plots
Dependent events
25. Range - standard deviation and variance.
Distribution
The 3 measures of variation
s2
Distribution
26. Complement of p
Discrete Data
P(A)
q
Representative Sample
27. Population size
N
S
Raw Data
Dependent events
28. To divide the population into 2 or more non-overlapping subsets called strata
Interval
Simple random sample
Cluster sampling
Strata sampling
29. (largest data value) - (smallest data value)
Variable
Discrete Data
range
Designed experiment
30. Determine the location of the middle value of all the data values
Designed experiment
Interval
Numerical measurement describing some characteristic of a sample.
Center of Distribution
31. Sample mean
Simple Random Sample
x
Strata sampling
Numerical measurement describing some characteristic of a sample.
32. Parameter
Continuous Data
Numerical measurement describing some characteristics of a population.
Data Set
Nominal
33. Sample size or number of trials
n
Frequency histogram
The 4 measures of center
Simple random sample
34. Sample standard deviation
s
S x
Pictograph
p value two tailed test
35. Is the portion of the population that is selected for study
H0
Discrete Data
Categorical Variable
Sample
36. 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
Distribution
The 4 measures of center
Dependent events
Simple Random Sample
37. Collection of information from the whole population
range
Discrete Data
Continuous Data
Census
38. Information about individuals in a population
Simple random sample
What symbol must always be found in H0
Pictograph
Data
39. 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
Raw Data
s
Skewed Distribution
Self-selected sample
40. A quantity calculated from data gathered from a sample- usually used to estimate a population parameter
P(A)
Continuous Data
Statistic
Stem-and-Leaf display
41. Always use a equal symbol
What symbol must always be found in H0
Bias
H1
Dependent events
42. 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
Nominal
Data
Stem-and-Leaf display
43. Double the answer from step 1 or step 2 (on whichever side your test statistics falls).
s2
The 4 measures of center
p value two tailed test
44. Variable where the value is a number that results from a measurement process - also called numerical data
S x
Parameter
Dependent events
Numerical Variable
45. Is the process of selecting a portion - or sample - of the entire population
Sampling
p
Sample
Population
46. Members of the population select themselves by volunteering
s
S x
Self-selected sample
Parameter
47. To find the range subtract the lowest value by the highest value.
Bias
Range
Distribution
s
48. A subset of the population- it's important to choose a sample at random to avoid bias in the results
Sample
The effect of extreme values on the measures of center
s2
Dependent events
49. _______________ 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
S x
Population Size
Statistic
50. A method of experimentation in which you can control as many variables as possible in order to isolate the effects of a response variable
Designed experiment
p value right tail
Observational study
Discrete numerical data