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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
Simple random sample
The 4 measures of center
Observational study
Ratio
2. To divide the population into 2 or more non-overlapping subsets called strata
Strata sampling
Simple random sample
x
Nominal
3. Is a collection of several data pertaining to one or more variables
Data Set
Observational study
Relative frequency histogram
Sample
4. 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
Outliers
x
Population
s
5. Complement of p
Observational study
q
p value right tail
range
6. Range - standard deviation and variance.
Parameter
The 2 measures of relative standing
Relative frequency histogram
The 3 measures of variation
7. 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
s2
p
Symmetric Distribution
H0
8. Probability of event A
Pictograph
P(A)
Disjoint event
p value right tail
9. Population variance
Outlier
Median
s2
Characteristic of a distribution
10. Is the portion of the population that is selected for study
Sample
Percentile
Sample Variance
Pictograph
11. A quantity calculated from data gathered from a sample- usually used to estimate a population parameter
Statistic
N
Numerical measurement describing some characteristic of a sample.
Independent events
12. Is the process of using SAMPLE INFORMATION to draw inferences or conclusions about the POPULATION
Inferential Statistics
Median
Center of Distribution
Statistics
13. Can be used to get an initial graphical view of data
Dot plots
Sample
range
Descriptive Statistics
14. To calculate the percentile take the number of values less than x - divide by total number of values and times by 100.
s
Relative frequency histogram
Percentile
Dot plots
15. To find the range subtract the lowest value by the highest value.
Range
Census
Stem-and-Leaf display
s
16. 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
Ordinal
Distribution
Dependent events
Systematic sampling
17. 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
Sample
Symmetric Distribution
Variable
18. Occur when one does not affect the probability of the occurrence of the other.
Stem and leaf plots
Frequency histogram
Observational study
Independent events
19. Sample proportion
Median
Sampling
N
p
20. Uses numerical and or visual techniques to summarize or describe the data in a clear effective manner
p value two tailed test
N
p value right tail
Descriptive Statistics
21. Double the answer from step 1 or step 2 (on whichever side your test statistics falls).
Continuous Data
Data Set
S
p value two tailed test
22. Collection of information from a sample
p value left tail
Survey
p
range
23. The important aspects of the data are called?
p value right tail
Parameter
Characteristic of a distribution
Simple Random Sample
24. Mean - mode - median and midrange.
Frequency
The 4 measures of center
Data Set
q
25. Is denoted by 'N' - is the number of data values in the population
Population Size
Variable
Stem-and-Leaf display
The 3 measures of variation
26. Occur when one of them affects the probability of the other.
Dependent events
Self-selected sample
Sample
Frequency histogram
27. The variable value can be represented as isolated points on a number line
Categorical Variable
The 4 measures of center
Discrete numerical data
Statistic
28. A survey that includes every item or individual of the population
Census
Distribution
Sample
Disjoint event
29. Is the entire collection of all individuals or objects of interest
Population
Nominal
Representative Sample
Outlier
30. Statistics
Characteristic of a distribution
S
Simple random sample
Numerical measurement describing some characteristic of a sample.
31. The pattern of variation of data. The distribution may be described as symmetrical - positively skewed - or negatively skewed
Census
Dependent events
Distribution
Pictograph
32. _______________ are numerical measurements that can assume any value between two numbers
Discrete Data
Continuous Data
Frequency
Distribution
33. Alternative hypothesis
Survey
Data Set
H1
What symbol must always be found in H0
34. Sample size or number of trials
n
Nominal
Simple random sample
Census
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
Stem-and-Leaf display
Dot plots
Outliers
36. 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
Stem-and-Leaf display
q
Alpha (a)
Self-selected sample
37. Is a number that describes a characteristic of a sample
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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
Range
Simple Random Sample
Pictograph
Raw Data
39. Population is organized into groups (i.e - neighborhoods/departments) - and sampling unit is selected by a simple random sample
Cluster sampling
Exploratory data analysis
The 2 measures of relative standing
The 3 measures of variation
40. Is a sample that has the pertinent characteristics of the population in the same proportion - as they are included in that population
Representative Sample
Categorical Variable
Center of Distribution
Survey
41. Sample mean
Sample
x
range
Sample Variance
42. 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
Discrete Data
The 3 measures of variation
H1
Ratio
43. Mu; population mean
p value left tail
Data Set
H1
44. 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
Parameter
Sample
Survey
45. 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
The 3 measures of variation
Raw Data
Statistic
46. A method of experimentation in which you can control as many variables as possible in order to isolate the effects of a response variable
Percentile
Designed experiment
Frequency histogram
Raw Data
47. Population size
s
Representative Sample
N
Survey
48. _______________ 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
The effect of extreme values on the measures of center
p value left tail
Distribution
Ordinal
49. A number that is used to describe a characteristic of a sample - such as a sample average - is called a __________.
Statistic
Categorical Variable
s2
n
50. Variable where the value is a number that results from a measurement process - also called numerical data
Survey
s2
Range
Numerical Variable