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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 survey that includes every item or individual of the population
Representative Sample
Population
Parameter
Census
2. For a left tailed test use normalcdf(-999 - ZTS)
p value left tail
The 4 measures of center
Inferential Statistics
What symbol must always be found in H0
3. Variable where the value is a number that results from a measurement process - also called numerical data
Numerical Variable
Statistic
Representative Sample
Strata sampling
4. One extreme value can affect it dramatically.
p
Survey
H1
The effect of extreme values on the measures of center
5. Is the portion of the population that is selected for study
Sample
Numerical measurement describing some characteristics of a population.
Stem-and-Leaf display
Graph
6. Is a number that describes a characteristic of a sample
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7. A collection of individuals about which we want to draw conclusions
Pictograph
Population
range
Random Sample or Probability Sample
8. 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
N
Statistics
p value two tailed test
The effect of extreme values on the measures of center
9. The important aspects of the data are called?
Simple random sample
Representative Sample
Disjoint event
Characteristic of a distribution
10. Sample size or number of trials
Representative Sample
Outliers
Census
n
11. A number that is used to describe a characteristic of a sample - such as a sample average - is called a __________.
Statistic
Outliers
Sample
Dot plots
12. Statistics
Outlier
Numerical measurement describing some characteristic of a sample.
Outliers
Pictograph
13. To divide the population into 2 or more non-overlapping subsets called strata
Strata sampling
Sample Variance
Alpha (a)
q
14. Is the process of selecting a portion - or sample - of the entire population
Sample Size
Population Size
p value two tailed test
Sampling
15. 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
What symbol must always be found in H0
Graph
Stem-and-Leaf display
Ordinal
16. 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
Simple Random Sample
p value left tail
Variable
17. A subset of the population- it's important to choose a sample at random to avoid bias in the results
Population
Frequency histogram
Sample
x
18. Information about individuals in a population
Population Size
Data
Center of Distribution
s2
19. Test use normalcdf(ZTS -999)
p value right tail
Strata sampling
Simple random sample
20. 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
Ratio
Cluster sampling
Descriptive Statistics
Skewed Distribution
21. Is the entire collection of all individuals or objects of interest
Population
x
Representative Sample
The 2 measures of relative standing
22. 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
Skewed Distribution
Symmetric Distribution
Exploratory data analysis
q
23. A descriptive tool used to visually describe the characteristics and relationships of collections of data quickly and attractively
Range
Graph
Percentile
Statistic
24. Is a number that describes a characteristic of a population
Parameter
Convenience sampling
p
Data
25. Mu; population mean
Statistics
s2
p
26. _______________ are numerical values that can assume only a limited number of values
range
Census
Frequency
Discrete Data
27. Sample standard deviation
Systematic sampling
Population
s
Skewed Distribution
28. Is a sample that has the pertinent characteristics of the population in the same proportion - as they are included in that population
Representative Sample
Pictograph
Simple random sample
Statistics
29. Null hypothesis
Interval
Observational study
Center of Distribution
H0
30. A method in which you randomly choose one number from 'l' to 'k' and continue to select the kth element
Statistic
s2
Bias
Systematic sampling
31. _______________ 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
Data
s2
Percentile
32. Probability of event A
Frequency
N
Disjoint event
P(A)
33. 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
Simple random sample
Cluster sampling
Census
Interval
34. Standard scores and percentile
The 2 measures of relative standing
H0
Sample Variance
Designed experiment
35. Occur when one does not affect the probability of the occurrence of the other.
Simple Random Sample
Median
Independent events
Variable
36. Collection of information from a sample
q
Survey
S x
Categorical Variable
37. Range - standard deviation and variance.
Interval
The 3 measures of variation
x
Dependent events
38. Complement of p
q
Inferential Statistics
Population Size
Ordinal
39. Population size
Simple random sample
N
Stem-and-Leaf display
Sample Variance
40. 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
n
Ordinal
Outliers
Parameter
41. A method of experimentation in which you can control as many variables as possible in order to isolate the effects of a response variable
Symmetric Distribution
Observational study
Designed experiment
Continuous Data
42. A method of data collection in which the objects of study are observed in their natural settings and the variables are recorded
Raw Data
Population
Sample Size
Observational study
43. A flaw in the sampling procedure that makes it more likely that the sample will NOT be representative of population
Parameter
Parameter
Sample
Bias
44. Represents categories - and is nonnumerical in nature
Data Set
Convenience sampling
Categorical Variable
Distribution
45. Is the process of using SAMPLE INFORMATION to draw inferences or conclusions about the POPULATION
Parameter
Percentile
Inferential Statistics
Independent events
46. Mean - mode - median and midrange.
Representative Sample
The 4 measures of center
Raw Data
Bias
47. Lowercase sigma; population standard deviaition
Inferential Statistics
What symbol must always be found in H0
s
48. Can be used to get an initial graphical view of data
Outlier
Dot plots
Sample Size
p value two tailed test
49. 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
Discrete numerical data
Skewed Distribution
range
Continuous Data
50. 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
Categorical Variable
Sample
Symmetric Distribution
Median