More Evidence Against H0 Is Indicated by

There is convincing evidence to support the claim that younger voters are more affected by negative ads than are older voters. I see that low p-values mean strong evidence against null hypothesis and finding such a sample is highly unlikely when null hypothesis is true.

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. Asked a question related to Business Management. So is it OK to say that when p-value is 001 it was very unlikely to have found such a sample but we still found it and hence finding such a sample has not occurred just by chance which leads towards rejection of null hypothesis. NOT The p-value is greater than alpha and the null hypothesis is not rejected.

At least one of them has negative effect on grades. The solution to this problem could be broken into two parts. Perhaps as we transition to Industry 60 fuzzy logic will become more prominent in decision making.

When making such a statement we. If the p value for both tests indicates the observed data are surprising assuming Δ L or Δ U are true we can follow a NeymanPearson approach to statistical inferences and reject effect sizes larger than the equivalence bounds. There is convincing evidence to support the claim that younger voters are more affected by negative ads than are older voters.

The observed data are compared against Δ L and Δ U in two one-sided tests. Workday and weekend alcohol consumption has no effect on grades.

Chap 9 Hypothesis Testing 3

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Chap 9 Hypothesis Testing 3