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