Statistics Chapter 1,2,3,4
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The two major types of statistics are ______ statistics and _____ statistics.
What is the difference in the conclusion drawn from a designed experiment an observational study?
Oberservational can only reveal association, where designed experiments can show causation
Describe advantages and disadvantages of cluster sampling.
- Advantages: Easier, faster, less expensive
- Disadvantage: cluster sampling is not that accurate, each cluster will probably not be the same as the other clusters
Age Percentage not covered
Classify the study as either descriptive or inferential
Define Observational Study
researchers observe characteristics and take measurements
Define Designed experiment
researchers impose treatments and controls
consists of methods for organizing and summarizing information
consists of methods for drawing and measuring the reliability of conclusions about a population based on info obtained from a sample of the population
Contingency table represent what specific kind of discrete data
what is the equation for Chebyshev's Rule
How many data points are you trimming off for 20 data points with a 10% trimmed mean?
4 in total...2 on top and 2 on the bottom
characteristic that varies from one person or thing to another
values of a variable
values of a qualitative variable
values of a quantitative variable
quantitative variable whose possible values can be listed
quantitative variable whose possible values form some interval of numbers
a table that provides the classes, frequencies, relative frequencies, and midpoints of a data is called a _______
A positive Z score indicates that the observation is ______ the mean, whereas a negative Z score indicates that the observation is _____ the mean.
A standardized variable always has mean ____ and standard deviation ____
interpret this z score.
Z = 10.16 - 3.00 = 2.24
the data 10.16 is 2.24 standard deviation above the mean of 3.00
difference between a parameter and a statistic
a parameter is a measure of the population and a statistic is a measure of a sample
mutually exclusive events
no two of them have outcomes in common
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