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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. 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.
Percentile
p value right tail
Pictograph
Sample
2. Sample proportion
Relative frequency histogram
p
Range
Statistic
3. Is a sample containing similar characteristics of the population
Center of Distribution
Median
Representative Sample
Stem and leaf plots
4. An efficient method of graphing information using actual amounts: clusters - gaps - outliers are clearly identified.
Characteristic of a distribution
Stem and leaf plots
H0
Survey
5. Double the answer from step 1 or step 2 (on whichever side your test statistics falls).
Characteristic of a distribution
The 3 measures of variation
p value two tailed test
Nominal
6. Members of the population select themselves by volunteering
Self-selected sample
Cluster sampling
Categorical Variable
p value two tailed test
7. Null hypothesis
range
Graph
H0
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
Alpha (a)
Distribution
Parameter
Disjoint event
9. Before they are arranged or analyzed - information or observations are called________.
p
s2
Raw Data
Nominal
10. Alternative hypothesis
H1
Outlier
Stem-and-Leaf display
The 4 measures of center
11. Probability of event A
x
Symmetric Distribution
P(A)
p value left tail
12. Mu; population mean
Discrete numerical data
s
Cluster sampling
13. Population is organized into groups (i.e - neighborhoods/departments) - and sampling unit is selected by a simple random sample
Sampling
Representative Sample
Census
Cluster sampling
14. Collection of information from the whole population
Census
Sampling
Distribution
Numerical measurement describing some characteristics of a population.
15. Occur when one of them affects the probability of the other.
Ratio
Population
Dependent events
Data
16. Always use a equal symbol
Numerical measurement describing some characteristic of a sample.
Sampling
What symbol must always be found in H0
Survey
17. An individual data value which lies far (above or below) from most or all of the other data values within a distribution
Outlier
Inferential Statistics
N
p
18. Determine the location of the middle value of all the data values
Cluster sampling
Center of Distribution
Characteristic of a distribution
N
19. Occur when one does not affect the probability of the occurrence of the other.
S x
Population Size
Independent events
Stem and leaf plots
20. Is a number that describes a characteristic of a sample
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21. Capital sigma; summation
Distribution
S
s2
Range
22. A number that is used to describe a characteristic of a sample - such as a sample average - is called a __________.
Distribution
Percentile
Statistic
S x
23. One extreme value can affect it dramatically.
Sampling
Variable
The effect of extreme values on the measures of center
24. _______________ are numerical measurements that can assume any value between two numbers
s
Parameter
The effect of extreme values on the measures of center
Continuous Data
25. Is the process of selecting a portion - or sample - of the entire population
s
Sampling
Frequency
Survey
26. Disjoint events cannot overlap. They are mutually exclusive if they cannot occur at the same time.
Convenience sampling
Sample Variance
Disjoint event
Random Sample or Probability Sample
27. Is denoted by 'n' - is the number of data values in the sample
Interval
Observational study
Sample Size
Census
28. Complement of p
Bias
Statistics
q
Skewed Distribution
29. 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
Median
Ratio
Census
Statistic (note there is no 's' at the end)
30. 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
s
Survey
Alpha (a)
31. Standard scores and percentile
Discrete Data
The 2 measures of relative standing
Simple Random Sample
Continuous Data
32. Create a sample by using data from population members that are readily available
Variable
Convenience sampling
The 2 measures of relative standing
p
33. Sample variance
p value left tail
Variable
s2
Numerical Variable
34. 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
Random Sample or Probability Sample
Relative frequency histogram
Stem-and-Leaf display
35. Represents categories - and is nonnumerical in nature
S
Center of Distribution
Categorical Variable
range
36. Is the entire collection of all individuals or objects of interest
Independent events
Statistic
Strata sampling
Population
37. Square the standard deviation and to find the population variance square of the population standard deviation
Median
Statistics
Observational study
Sample Variance
38. A quantity calculated from data gathered from a sample- usually used to estimate a population parameter
The 4 measures of center
Median
s2
Statistic
39. Type of bar graph that shows frequency distributions
Frequency histogram
Independent events
s
Stem and leaf plots
40. Is the portion of the population that is selected for study
Population Size
Sample
Simple random sample
Bias
41. 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
Alpha (a)
Population Size
Simple Random Sample
range
42. A collection of individuals about which we want to draw conclusions
Designed experiment
Numerical measurement describing some characteristics of a population.
Population
43. Is a sample that has the pertinent characteristics of the population in the same proportion - as they are included in that population
Numerical measurement describing some characteristics of a population.
Interval
Pictograph
Representative Sample
44. The pattern of variation of data. The distribution may be described as symmetrical - positively skewed - or negatively skewed
Distribution
Variable
s2
45. Test use normalcdf(ZTS -999)
Pictograph
Systematic sampling
p value right tail
P(A)
46. A flaw in the sampling procedure that makes it more likely that the sample will NOT be representative of population
Bias
Raw Data
Population
q
47. 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
The 2 measures of relative standing
Numerical measurement describing some characteristics of a population.
Symmetric Distribution
Graph
48. A numerical quantity measuring some aspect of the population
p
Parameter
Census
Data
49. A subset of the population- it's important to choose a sample at random to avoid bias in the results
Independent events
Sample
Skewed Distribution
Random Sample or Probability Sample
50. A method of data collection in which the objects of study are observed in their natural settings and the variables are recorded
Outliers
Numerical Variable
Observational study
Data