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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. Probability of event A
Distribution
P(A)
Numerical Variable
Numerical measurement describing some characteristic of a sample.
2. Represents categories - and is nonnumerical in nature
Random Sample or Probability Sample
Survey
Categorical Variable
Exploratory data analysis
3. Can be used to get an initial graphical view of data
Stem and leaf plots
Statistic
Dot plots
4. Is the process of using SAMPLE INFORMATION to draw inferences or conclusions about the POPULATION
Inferential Statistics
Census
Convenience sampling
Alpha (a)
5. The important aspects of the data are called?
Characteristic of a distribution
Population
Data Set
Distribution
6. The variable value can be represented as isolated points on a number line
The 3 measures of variation
Survey
Discrete numerical data
Strata sampling
7. Is denoted by 'N' - is the number of data values in the population
Inferential Statistics
Continuous Data
Stem-and-Leaf display
Population Size
8. (largest data value) - (smallest data value)
Raw Data
range
Stem and leaf plots
Sample
9. Is a sample containing similar characteristics of the population
Independent events
Representative Sample
Frequency histogram
Discrete numerical data
10. Is denoted by 'n' - is the number of data values in the sample
Numerical measurement describing some characteristics of a population.
H0
Sample Size
Statistic (note there is no 's' at the end)
11. A method of experimentation in which you can control as many variables as possible in order to isolate the effects of a response variable
Census
Designed experiment
Simple Random Sample
Stem and leaf plots
12. Population is organized into groups (i.e - neighborhoods/departments) - and sampling unit is selected by a simple random sample
Dot plots
p
Descriptive Statistics
Cluster sampling
13. To calculate the percentile take the number of values less than x - divide by total number of values and times by 100.
Percentile
Disjoint event
Categorical Variable
Interval
14. A survey that includes every item or individual of the population
s
Distribution
Census
Stem-and-Leaf display
15. Alternative hypothesis
P(A)
Frequency
q
H1
16. Sample variance
q
Stem-and-Leaf display
s2
Sample
17. A subset of the population- it's important to choose a sample at random to avoid bias in the results
Numerical measurement describing some characteristic of a sample.
Self-selected sample
x
Sample
18. 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
Exploratory data analysis
s
Random Sample or Probability Sample
Self-selected sample
19. 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.
The 2 measures of relative standing
H1
The 3 measures of variation
Pictograph
20. Using graphs and numerical summaries to describe variables in a data set and their relationship
Exploratory data analysis
Sampling
Bias
p value right tail
21. A method of data collection in which the objects of study are observed in their natural settings and the variables are recorded
Observational study
Random Sample or Probability Sample
The effect of extreme values on the measures of center
Data Set
22. Sum of the values
Symmetric Distribution
Disjoint event
S x
Census
23. Uses numerical and or visual techniques to summarize or describe the data in a clear effective manner
Descriptive Statistics
Dot plots
Population Size
p
24. _______________ are numerical values that can assume only a limited number of values
Discrete Data
Sample
Sample Variance
Statistic
25. Mu; population mean
Descriptive Statistics
Raw Data
Outliers
26. Type of information - usually a property of characteristic of a person or thing that is measured or observed
p value two tailed test
s2
Variable
Distribution
27. One extreme value can affect it dramatically.
Independent events
Sample
range
The effect of extreme values on the measures of center
28. 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
Data Set
s2
Nominal
Sample
29. To find the range subtract the lowest value by the highest value.
Sample Variance
Range
p value two tailed test
Designed experiment
30. A flaw in the sampling procedure that makes it more likely that the sample will NOT be representative of population
s
Bias
Ratio
p value right tail
31. The pattern of variation of data. The distribution may be described as symmetrical - positively skewed - or negatively skewed
P(A)
Distribution
Survey
Discrete Data
32. 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
p
Simple random sample
Census
Categorical Variable
33. Information about individuals in a population
s
Data
Sampling
Statistics
34. Disjoint events cannot overlap. They are mutually exclusive if they cannot occur at the same time.
Dependent events
Disjoint event
Stem and leaf plots
Simple random sample
35. Double the answer from step 1 or step 2 (on whichever side your test statistics falls).
p value two tailed test
Population Size
Raw Data
Symmetric Distribution
36. Sample proportion
Frequency histogram
p
Frequency
Numerical Variable
37. Parameter
Random Sample or Probability Sample
Numerical measurement describing some characteristics of a population.
Raw Data
Population Size
38. Standard scores and percentile
Interval
s2
The 2 measures of relative standing
p value two tailed test
39. 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).
Survey
Interval
Inferential Statistics
40. Test use normalcdf(ZTS -999)
p value right tail
Ordinal
Descriptive Statistics
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
Population
S
Relative frequency histogram
Alpha (a)
42. A quantity calculated from data gathered from a sample- usually used to estimate a population parameter
Statistic
Exploratory data analysis
Alpha (a)
Raw Data
43. Occur when one does not affect the probability of the occurrence of the other.
Sample
range
Independent events
Nominal
44. Create a sample by using data from population members that are readily available
Categorical Variable
Nominal
Simple Random Sample
Convenience sampling
45. Square the standard deviation and to find the population variance square of the population standard deviation
Population
Sample Variance
Simple Random Sample
Numerical measurement describing some characteristic of a sample.
46. 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
s
Statistic (note there is no 's' at the end)
The 2 measures of relative standing
47. Before they are arranged or analyzed - information or observations are called________.
Numerical Variable
P(A)
Raw Data
x
48. 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
Parameter
Statistics
Representative Sample
Representative Sample
49. Always use a equal symbol
What symbol must always be found in H0
Dependent events
Categorical Variable
Skewed Distribution
50. _______________ 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
s2
Distribution
Numerical measurement describing some characteristic of a sample.
Frequency histogram