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derive the conclusions of each of the following arguments using the rules of inference for M, including conditional or indirect proof.
-1. (∀x)[Ax ⊃ (Bx ⊃ Cx)]
2. ∼(∀x)(Bx ⊃ Dx) / (∀x)Ax ⊃ (∃x)(Cx • ∼Dx)
Frequency Distributions
A way of summarizing data that shows the number of observations that fall within a range of values.
Normal Distributions
Normal distributions are a type of statistical distribution that is symmetric and bell-shaped, where most occurrences take place around the central peak.
Independent Variables
Independent variables are the variables in a study that are manipulated or changed to observe their effect on other dependent variables.
Descriptive Statistics
Statistics used to summarize and describe a set of data for a variable.
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