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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. Sample variance
s2
Observational study
Outlier
Continuous Data
2. _______________ are numerical measurements that can assume any value between two numbers
s2
Survey
Continuous Data
The effect of extreme values on the measures of center
3. Represents categories - and is nonnumerical in nature
Stem and leaf plots
Numerical measurement describing some characteristics of a population.
Categorical Variable
4. Parameter
Numerical measurement describing some characteristics of a population.
N
S
Cluster sampling
5. Sample mean
x
Pictograph
Center of Distribution
Dependent events
6. Disjoint events cannot overlap. They are mutually exclusive if they cannot occur at the same time.
Numerical measurement describing some characteristic of a sample.
Disjoint event
P(A)
Census
7. A survey that includes every item or individual of the population
Census
Self-selected sample
n
Range
8. Is a number that describes a characteristic of a sample
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9. Sample standard deviation
s
Ratio
What symbol must always be found in H0
Sample
10. 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
Skewed Distribution
Survey
Descriptive Statistics
11. An individual data value which lies far (above or below) from most or all of the other data values within a distribution
Discrete Data
Outlier
Raw Data
p
12. 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
p value two tailed test
Symmetric Distribution
N
Discrete Data
13. A number that is used to describe a characteristic of a sample - such as a sample average - is called a __________.
Range
Data
Outlier
Statistic
14. The pattern of variation of data. The distribution may be described as symmetrical - positively skewed - or negatively skewed
Distribution
Skewed Distribution
Dependent events
The 3 measures of variation
15. The number of times each data value occurs
Raw Data
Self-selected sample
Numerical Variable
Frequency
16. 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).
Graph
Numerical measurement describing some characteristics of a population.
What symbol must always be found in H0
Interval
17. 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
Statistic
Population
Random Sample or Probability Sample
Skewed Distribution
18. Double the answer from step 1 or step 2 (on whichever side your test statistics falls).
Survey
p value two tailed test
p value right tail
Representative Sample
19. 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
Survey
Simple random sample
Pictograph
Self-selected sample
20. (largest data value) - (smallest data value)
p
Ratio
Designed experiment
range
21. Always use a equal symbol
Survey
What symbol must always be found in H0
Graph
Continuous Data
22. Is a sample containing similar characteristics of the population
Stem-and-Leaf display
N
Representative Sample
Numerical measurement describing some characteristic of a sample.
23. 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
Parameter
Independent events
Symmetric Distribution
Simple Random Sample
24. Is a collection of several data pertaining to one or more variables
Center of Distribution
Median
Data Set
Raw Data
25. One extreme value can affect it dramatically.
Descriptive Statistics
Numerical measurement describing some characteristic of a sample.
The effect of extreme values on the measures of center
N
26. Sample proportion
p
s2
Range
Categorical Variable
27. _______________ are numerical values that can assume only a limited number of values
Discrete Data
s
The effect of extreme values on the measures of center
28. Occur when one of them affects the probability of the other.
Range
S x
Dependent events
s
29. Mean - mode - median and midrange.
p
Relative frequency histogram
The 4 measures of center
30. A subset of the population- it's important to choose a sample at random to avoid bias in the results
Discrete numerical data
Observational study
Statistics
Sample
31. A flaw in the sampling procedure that makes it more likely that the sample will NOT be representative of population
Bias
Simple random sample
Continuous Data
s
32. Sample size or number of trials
Population
range
n
Bias
33. A method of experimentation in which you can control as many variables as possible in order to isolate the effects of a response variable
Population Size
q
Designed experiment
Sampling
34. Is denoted by 'N' - is the number of data values in the population
Percentile
Population Size
Disjoint event
H1
35. 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
Sample Variance
Stem-and-Leaf display
N
p value two tailed test
36. Occur when one does not affect the probability of the occurrence of the other.
Frequency histogram
Independent events
Simple Random Sample
x
37. Create a sample by using data from population members that are readily available
Sampling
Survey
Convenience sampling
Alpha (a)
38. Is a sample that has the pertinent characteristics of the population in the same proportion - as they are included in that population
Representative Sample
Relative frequency histogram
Discrete Data
39. 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)
Sample Variance
Bias
N
40. Type of information - usually a property of characteristic of a person or thing that is measured or observed
H1
Sample Size
Parameter
Variable
41. An efficient method of graphing information using actual amounts: clusters - gaps - outliers are clearly identified.
Survey
Stem and leaf plots
Convenience sampling
Sample Variance
42. Population is organized into groups (i.e - neighborhoods/departments) - and sampling unit is selected by a simple random sample
Cluster sampling
Sample
Independent events
Random Sample or Probability Sample
43. Type of bar graph that shows frequency distributions
Skewed Distribution
Frequency histogram
Percentile
Convenience sampling
44. A quantity calculated from data gathered from a sample- usually used to estimate a population parameter
Raw Data
Statistic
Systematic sampling
The 4 measures of center
45. Statistics
Disjoint event
Numerical measurement describing some characteristic of a sample.
Pictograph
Center of Distribution
46. Complement of p
Alpha (a)
Raw Data
q
Survey
47. A method of data collection where the researcher selects a sample from the population and measures the variable of interest
The effect of extreme values on the measures of center
Outlier
Data Set
Survey
48. Members of the population select themselves by volunteering
Range
Percentile
Self-selected sample
n
49. Can be used to get an initial graphical view of data
Pictograph
Outliers
Sample Variance
Dot plots
50. Before they are arranged or analyzed - information or observations are called________.
Outlier
S x
p
Raw Data