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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 number of times each data value occurs
Nominal
Numerical measurement describing some characteristic of a sample.
Frequency
p value right tail
2. Double the answer from step 1 or step 2 (on whichever side your test statistics falls).
Population
p value two tailed test
Frequency
What symbol must always be found in H0
3. Is a number that describes a characteristic of a sample
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4. Square the standard deviation and to find the population variance square of the population standard deviation
Range
Sample
Disjoint event
Sample Variance
5. Determine the location of the middle value of all the data values
q
Disjoint event
Dot plots
Center of Distribution
6. Variable where the value is a number that results from a measurement process - also called numerical data
s
Pictograph
Numerical Variable
Symmetric Distribution
7. To divide the population into 2 or more non-overlapping subsets called strata
Strata sampling
Self-selected sample
Sample Variance
s2
8. For a left tailed test use normalcdf(-999 - ZTS)
Relative frequency histogram
p value left tail
Continuous Data
H1
9. To calculate the percentile take the number of values less than x - divide by total number of values and times by 100.
Pictograph
Discrete numerical data
Percentile
p
10. Is a sample containing similar characteristics of the population
Inferential Statistics
s
Sample
Representative Sample
11. Collection of information from the whole population
Ratio
Census
Variable
12. Has the same shape and horizontal scale as a histogram - but the vertical scale is marked with relative frequencies instead of actual frequencies
Discrete numerical data
Relative frequency histogram
Statistic
Raw Data
13. Mean - mode - median and midrange.
Outlier
The 4 measures of center
Statistic
Discrete Data
14. _______________ are numerical values that can assume only a limited number of values
Discrete Data
Sample Variance
x
Parameter
15. Occur when one does not affect the probability of the occurrence of the other.
Census
x
n
Independent events
16. A quantity calculated from data gathered from a sample- usually used to estimate a population parameter
Distribution
p
Statistic
Center of Distribution
17. Is denoted by 'n' - is the number of data values in the sample
Sample Size
Data
Survey
s
18. 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
Statistic
p value right tail
Symmetric Distribution
Ordinal
19. Mu; population mean
N
Sampling
Population
20. Null hypothesis
Skewed Distribution
H0
Range
Nominal
21. Type II error is measured
Dot plots
Interval
Frequency histogram
22. Is the portion of the population that is selected for study
p value left tail
Sample
Ratio
Parameter
23. Standard scores and percentile
Numerical Variable
n
Data Set
The 2 measures of relative standing
24. A method of data collection in which the objects of study are observed in their natural settings and the variables are recorded
p
Observational study
Simple Random Sample
The 2 measures of relative standing
25. _______________ are numerical measurements that can assume any value between two numbers
Continuous Data
Survey
Random Sample or Probability Sample
N
26. A descriptive tool used to visually describe the characteristics and relationships of collections of data quickly and attractively
Representative Sample
N
Graph
Frequency
27. Is the entire collection of all individuals or objects of interest
Population
Survey
Statistic (note there is no 's' at the end)
Symmetric Distribution
28. 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
p
Sample
Skewed Distribution
Statistics
29. Disjoint events cannot overlap. They are mutually exclusive if they cannot occur at the same time.
Disjoint event
Distribution
S x
The 3 measures of variation
30. Is the process of selecting a portion - or sample - of the entire population
Bias
Representative Sample
Systematic sampling
Sampling
31. 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
Representative Sample
Alpha (a)
Exploratory data analysis
Outlier
32. Is denoted by 'N' - is the number of data values in the population
Population Size
q
Dot plots
Categorical Variable
33. Complement of p
Numerical Variable
Pictograph
Self-selected sample
q
34. Members of the population select themselves by volunteering
Self-selected sample
Exploratory data analysis
q
Bias
35. Probability of event A
P(A)
The effect of extreme values on the measures of center
Distribution
Alpha (a)
36. To find the range subtract the lowest value by the highest value.
Range
Self-selected sample
Population
Random Sample or Probability Sample
37. Create a sample by using data from population members that are readily available
Population Size
Survey
s2
Convenience sampling
38. Parameter
Sample Size
The 4 measures of center
Sample Variance
Numerical measurement describing some characteristics of a population.
39. 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
Systematic sampling
H1
Median
Independent events
40. Capital sigma; summation
Symmetric Distribution
p
S
Ratio
41. Using graphs and numerical summaries to describe variables in a data set and their relationship
Simple random sample
p value left tail
Numerical Variable
Exploratory data analysis
42. The important aspects of the data are called?
p
Characteristic of a distribution
s2
Center of Distribution
43. 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
Cluster sampling
Graph
Characteristic of a distribution
Random Sample or Probability Sample
44. A collection of individuals about which we want to draw conclusions
Range
Nominal
Statistic (note there is no 's' at the end)
Population
45. Sample variance
Data
s2
P(A)
Systematic sampling
46. 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
Statistic
p
Frequency histogram
Statistics
47. 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.
Numerical measurement describing some characteristic of a sample.
Pictograph
Center of Distribution
Percentile
48. A flaw in the sampling procedure that makes it more likely that the sample will NOT be representative of population
Outliers
Bias
The effect of extreme values on the measures of center
p
49. Population is organized into groups (i.e - neighborhoods/departments) - and sampling unit is selected by a simple random sample
Ratio
Cluster sampling
Variable
Discrete Data
50. A method of experimentation in which you can control as many variables as possible in order to isolate the effects of a response variable
Distribution
Population
Designed experiment
H0