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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. _______________ 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
Categorical Variable
Strata sampling
Inferential Statistics
Distribution
2. Type II error is measured
Strata sampling
P(A)
Bias
3. 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
n
Graph
Simple Random Sample
s
4. A method of data collection where the researcher selects a sample from the population and measures the variable of interest
Census
What symbol must always be found in H0
Survey
Outlier
5. Is denoted by 'N' - is the number of data values in the population
Graph
Population Size
Statistic
What symbol must always be found in H0
6. Is the entire collection of all individuals or objects of interest
Center of Distribution
Population
Disjoint event
Exploratory data analysis
7. Population is organized into groups (i.e - neighborhoods/departments) - and sampling unit is selected by a simple random sample
Frequency histogram
Cluster sampling
s2
s2
8. Occur when one of them affects the probability of the other.
Numerical Variable
Dependent events
S
H0
9. A numerical quantity measuring some aspect of the population
Sample Size
Parameter
Population Size
Census
10. Is a collection of several data pertaining to one or more variables
p value two tailed test
Observational study
Parameter
Data Set
11. Standard scores and percentile
q
Simple random sample
The 2 measures of relative standing
Cluster sampling
12. Always use a equal symbol
p
The 2 measures of relative standing
q
What symbol must always be found in H0
13. 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).
Raw Data
Census
Simple Random Sample
Interval
14. Sample standard deviation
s
q
Disjoint event
Bias
15. Is a sample containing similar characteristics of the population
p
Variable
Representative Sample
Numerical measurement describing some characteristic of a sample.
16. Type of bar graph that shows frequency distributions
Numerical measurement describing some characteristics of a population.
Sample
Frequency histogram
Numerical Variable
17. A collection of individuals about which we want to draw conclusions
Nominal
Population
p
s
18. Uses numerical and or visual techniques to summarize or describe the data in a clear effective manner
Descriptive Statistics
Statistic (note there is no 's' at the end)
Population
s
19. The number of times each data value occurs
Frequency
What symbol must always be found in H0
Simple Random Sample
20. An efficient method of graphing information using actual amounts: clusters - gaps - outliers are clearly identified.
Range
Statistic
Numerical Variable
Stem and leaf plots
21. Members of the population select themselves by volunteering
Self-selected sample
Sampling
Characteristic of a distribution
Independent events
22. To divide the population into 2 or more non-overlapping subsets called strata
Strata sampling
H1
Symmetric Distribution
Stem and leaf plots
23. 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
s
N
Numerical measurement describing some characteristics of a population.
24. Population variance
p
Median
Population
s2
25. Complement of p
Designed experiment
Relative frequency histogram
q
Simple random sample
26. Represents categories - and is nonnumerical in nature
Inferential Statistics
The 4 measures of center
Categorical Variable
27. A flaw in the sampling procedure that makes it more likely that the sample will NOT be representative of population
The 4 measures of center
Frequency
p
Bias
28. Can be used to get an initial graphical view of data
Dot plots
Frequency histogram
s
Convenience sampling
29. Is a sample that has the pertinent characteristics of the population in the same proportion - as they are included in that population
Stem-and-Leaf display
Representative Sample
range
Ordinal
30. Population proportion
Raw Data
p
Sampling
Cluster sampling
31. Range - standard deviation and variance.
Characteristic of a distribution
The 4 measures of center
The 3 measures of variation
p value right tail
32. Statistics
Frequency
p value left tail
Categorical Variable
Numerical measurement describing some characteristic of a sample.
33. A subset of the population- it's important to choose a sample at random to avoid bias in the results
Disjoint event
p value right tail
Observational study
Sample
34. _______________ are numerical measurements that can assume any value between two numbers
Data
s2
Continuous Data
Simple random sample
35. 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
Representative Sample
Outlier
Exploratory data analysis
Ordinal
36. 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
Independent events
Stem-and-Leaf display
S
Dot plots
37. 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
Ratio
range
Alpha (a)
Population
38. For a left tailed test use normalcdf(-999 - ZTS)
Population Size
p value left tail
s
39. Collection of information from a sample
p value right tail
Survey
The 4 measures of center
Cluster sampling
40. Capital sigma; summation
Characteristic of a distribution
S
Dependent events
H1
41. To calculate the percentile take the number of values less than x - divide by total number of values and times by 100.
Distribution
Inferential Statistics
Percentile
Interval
42. Test use normalcdf(ZTS -999)
Representative Sample
Sample Variance
p value right tail
Percentile
43. Is a number that describes a characteristic of a sample
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44. Is the process of using SAMPLE INFORMATION to draw inferences or conclusions about the POPULATION
Population
p
x
Inferential Statistics
45. (largest data value) - (smallest data value)
range
p
n
Alpha (a)
46. 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.
Census
Exploratory data analysis
The effect of extreme values on the measures of center
Pictograph
47. The pattern of variation of data. The distribution may be described as symmetrical - positively skewed - or negatively skewed
Graph
Census
Distribution
The 4 measures of center
48. Collection of information from the whole population
Survey
Stem and leaf plots
Census
Sample
49. Using graphs and numerical summaries to describe variables in a data set and their relationship
The 2 measures of relative standing
Exploratory data analysis
Distribution
Frequency histogram
50. Mean - mode - median and midrange.
Self-selected sample
The 4 measures of center
Exploratory data analysis
Frequency histogram