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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. The variable value can be represented as isolated points on a number line
Discrete numerical data
Center of Distribution
Parameter
q
2. A quantity calculated from data gathered from a sample- usually used to estimate a population parameter
Distribution
Sample Variance
Census
Statistic
3. Disjoint events cannot overlap. They are mutually exclusive if they cannot occur at the same time.
Disjoint event
Observational study
s2
Random Sample or Probability Sample
4. Population variance
Inferential Statistics
Simple Random Sample
Raw Data
s2
5. Double the answer from step 1 or step 2 (on whichever side your test statistics falls).
p value two tailed test
x
Ratio
Data Set
6. An individual data value which lies far (above or below) from most or all of the other data values within a distribution
Outlier
S
Inferential Statistics
What symbol must always be found in H0
7. A numerical quantity measuring some aspect of the population
H0
Parameter
Inferential Statistics
Survey
8. 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.
Inferential Statistics
Pictograph
Bias
Stem and leaf plots
9. Square the standard deviation and to find the population variance square of the population standard deviation
Survey
Numerical measurement describing some characteristic of a sample.
Sample Variance
Data Set
10. Information about individuals in a population
Data
range
The 3 measures of variation
p value left tail
11. 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
s
Descriptive Statistics
Range
Skewed Distribution
12. 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
Random Sample or Probability Sample
Outlier
Simple random sample
Exploratory data analysis
13. 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
s2
Statistic
Outliers
Observational study
14. 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
Frequency
Disjoint event
Pictograph
15. Level of measurement- involves data that consist of names - labels and categories only. The data cannot be arranged in an ordering scheme (such as low to high). (Example) Nationalities of survey respondents
Graph
Dot plots
Nominal
Dependent events
16. Collection of information from a sample
The 2 measures of relative standing
Survey
Statistic
Distribution
17. 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
Relative frequency histogram
Population Size
Symmetric Distribution
18. Sum of the values
s2
Population
S x
N
19. Test use normalcdf(ZTS -999)
p value right tail
S
Median
p
20. A method of experimentation in which you can control as many variables as possible in order to isolate the effects of a response variable
Systematic sampling
Categorical Variable
Median
Designed experiment
21. To divide the population into 2 or more non-overlapping subsets called strata
Raw Data
Simple Random Sample
p
Strata sampling
22. Statistics
Median
Representative Sample
Numerical measurement describing some characteristic of a sample.
The 2 measures of relative standing
23. Type of bar graph that shows frequency distributions
Statistic
Frequency histogram
Stem and leaf plots
s
24. Uses numerical and or visual techniques to summarize or describe the data in a clear effective manner
Descriptive Statistics
Numerical measurement describing some characteristics of a population.
Interval
n
25. A subset of the population- it's important to choose a sample at random to avoid bias in the results
Bias
Self-selected sample
Sample
p
26. Determine the location of the middle value of all the data values
Sample
p value two tailed test
Disjoint event
Center of Distribution
27. A collection of individuals about which we want to draw conclusions
Parameter
Population
Ordinal
s
28. A method of data collection where the researcher selects a sample from the population and measures the variable of interest
Stem-and-Leaf display
Random Sample or Probability Sample
Survey
Independent events
29. Type II error is measured
Frequency
p
Census
30. 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).
Stem and leaf plots
Continuous Data
Descriptive Statistics
Interval
31. _______________ are numerical values that can assume only a limited number of values
Distribution
Symmetric Distribution
Discrete Data
Convenience sampling
32. The important aspects of the data are called?
Inferential Statistics
Disjoint event
Characteristic of a distribution
Ratio
33. To find the range subtract the lowest value by the highest value.
Range
Census
Systematic sampling
Median
34. Is a number that describes a characteristic of a population
S
Data Set
Parameter
Census
35. Is a number that describes a characteristic of a sample
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36. A survey that includes every item or individual of the population
Self-selected sample
Outliers
H1
Census
37. Capital sigma; summation
Random Sample or Probability Sample
Numerical measurement describing some characteristics of a population.
Population
S
38. A flaw in the sampling procedure that makes it more likely that the sample will NOT be representative of population
Bias
Random Sample or Probability Sample
s
Center of Distribution
39. Occur when one of them affects the probability of the other.
Stem-and-Leaf display
Survey
Bias
Dependent events
40. Sample variance
s2
Ratio
Sample Variance
Statistic
41. 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)
The 3 measures of variation
Interval
p
42. Represents categories - and is nonnumerical in nature
Categorical Variable
Sample Variance
The 2 measures of relative standing
Statistic
43. Can be used to get an initial graphical view of data
Dot plots
P(A)
Interval
Median
44. A method in which you randomly choose one number from 'l' to 'k' and continue to select the kth element
Frequency
Sample Variance
Systematic sampling
Continuous Data
45. 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
Relative frequency histogram
Independent events
Alpha (a)
46. To calculate the percentile take the number of values less than x - divide by total number of values and times by 100.
Observational study
Percentile
H1
Simple Random Sample
47. The number of times each data value occurs
Sample
Frequency
Center of Distribution
Strata sampling
48. One extreme value can affect it dramatically.
n
Self-selected sample
Stem-and-Leaf display
The effect of extreme values on the measures of center
49. A descriptive tool used to visually describe the characteristics and relationships of collections of data quickly and attractively
Graph
Survey
Statistics
Interval
50. 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
Simple Random Sample
Symmetric Distribution
Statistics
Raw Data