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Sampling Distributions
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Sampling Distributions
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26 Terms
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1
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what is a null hypothesis?
its a hypothesis where no variables influence change
2
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what is an alternative hypothesis?
its a hypothesis where a variable(S) influence change
3
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what is the mean?
the average numbers of a data set
4
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what is the mode?
the mode is the most recurring number of a data set
5
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what is the median?
the middle number in a data set that has been organized chronologically
6
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what is the range?
the highest number subtracted by the lowest number in a data set
7
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what is normal distribution?
is a bell-shaped, symmetrical distribution in which the mean, median, and mode are all equal.
8
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Give an example of normal distribution.
height of the population
9
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What size of sampling is used to get accurate results?
larger
10
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What is random sampling?
every single member of a population is chosen randomly, merely by chance
11
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What is convenience sampling?
dependent on the ease of access to subjects such as surveying customers at a mall or passers-by on a busy street
12
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What type of chart is best used for ANOVA tests?
scatter plots
13
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What are line graphs used for?
used for variables that change over time like investment income & temperatures; shows frequencies
14
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What is a p-value?
The probability that the result is due to sampling error or chance
15
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What p-value did we use this semester?
0\.05
16
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What does it mean if the p-value is < 0.05?
it has significance
17
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What does it mean if the p-value is > 0.05
it is has no significance
18
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What is a t-test?
Looks for a difference between the means of 2 groups
19
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Example of what a t-test could be ran on.
average lifespan in a specific town vs country average
20
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What does a ANOVA test do?
is used to test the difference between the means of two groups or more on a single variable
21
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What is regression?
helps you **predict** the effects of the independent variable on the dependent one.
22
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What is correlation?
tells us if two things (variables) are related in some way, and how strong the relationship is.
23
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correlation doesnt mean causation
24
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How is a positive correlation depicted?
Closer to +1.0 = stronger positive correlation
25
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What shows negative correlation?
Closer to -1.0 = negative correlation
26
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List examples of correlation.
height vs weight and ice cream sales vs temperature
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