Chapter 12 Flashcards

(11 cards)

1
Q

hypothesis

A

always statements about population parameters, not samples

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2
Q

null hypothesis

A
  • hypothesis being tested
  • Aka: statistical hypothesis
  • Can be false, but can never be “true”; can only be “conceivably true” (because we don’t have enough evidence to reject it)
  • Even when we conclude it’s false, we can never be 100% sure
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3
Q

alternative hypothesis

A

contradicts H0, the one the researcher is trying to prove true

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4
Q

rejecting vs. retaining H0

A
  • Reject: obtained sample statistic has low probability of occurring by chance if H0 is true
  • Retain: we don’t have sufficient evidence to reject H0 (it potentially could be true)
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5
Q

non-directional/two-tailed tests

A
  • HA states that population parameter is different than the value stated in H0
  • Two-tailed statistical tests are more common than one-tailed tests and should be used whenever both mu >K and mu
  • if it’s the first time testing something, use 2-tailed
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6
Q

directional/one-tailed test

A
  • HA states that the population parameter differs from the value stated in H0 in a particular direction
  • Generally only appropriate when it’s unlikely that mu could be less than or greater than K -> more powerful than 2-tail tests in these situations
  • if means must differ in one direction only, use 1-tailed (ex. IQ of gifted vs. normal students -> gifted will either have same or higher, not lower)
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7
Q

type 1 vs. type 2 errors

A
  • Type 1: data leads us to reject H0 when it’s actually true (alpha)
  • Type 2: data leads us to accept H0 when it’s actually false
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8
Q

assumptions of the z-test

A
  • A random sample has been drawn from the population
  • The sample has been drawn using the “with-replacement” sampling plan
  • The sampling distribution follows the normal curve
  • The standard deviation of the population of scores is known
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9
Q

what varies in the z-test?

A
  • X bar: normally distributed variable (varies)
  • Stdv: constant
  • Mean: constant
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10
Q

t-test

A
  • Used when standard deviation is unknown
  • Value of t is not normally distributed – there is a family of distributions
  • z and t differ negligibly for large n’s, but when n is small, z and t can differ considerably
  • The critical value of t (the minimum t-value at which Ho will be rejected) vary with the degrees of freedom, df = n –1
  • The smaller the degrees of freedom, the larger the tcrit
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11
Q

p-value

A

probability when H0 is true of observing a sample mean as deviant or more deviant than the result obtained

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