A Type 1 error means accepting the null hypothesis when it is actually false.
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Q5: We have hypotheses because we suspect our
Q6: The null hypothesis is stated in terms
Q7: The alternative hypothesis states that you expect
Q8: We assume the null hypothesis is true
Q9: The null and alternative hypotheses are competing
Q11: A Type 2 error means rejecting the
Q12: When testing a hypothesis in any particular
Q13: The significance level is the maximum risk
Q14: The greater the costs associated with a
Q15: If costs associated with a Type 1
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