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1
Q

t test

A

for continuous normally distributed data (mean)
compare 2 pieces of data find if difference is sigificant

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1
Q

t test degrees of freedom

A

(n1-1)+(n2-1)

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2
Q

if calculated value is larger than critical value, nulls hypothesis is

A

rejected

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3
Q

standard error overlaps

A

values are not significnatly different

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4
Q

chi squared

A

compare observed and expected frequencies and find if difference is significant

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5
Q

chi squared degrees of freedom

A

nocatgroies-1

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6
Q

spearmans value

A

correlation
diff measurement of sam sample

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