A running shoe manufacturer believes that its supply of faulty running shoes is less than 0.03, the rate deemed acceptable. We perform a hypothesis test at a significance level of 0.05 with the null and alternative hypothesis as follows: Ho: p = 0.03 and Ha:p < 0.03. Choose the statement that best describes the significance level in the context of the hypothesis test. The significance level of 0.05 is X the probability of concluding that the faulty rate is less than 0.03 when in fact the faulty rate is equal to 0.03. the z-statistic that we will use to compare the observed outcome to the null hypothesis. the rate of faulty monitors that we believe is the true rate. the probability of concluding that the faulty rate is equal to 0.03 when in fact it is less than 0.03.

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A running shoe manufacturer believes that its supply of faulty running shoes is less than 0.03, the rate deemed acceptable. We perform a hypothesis test at a significance level of 0.05 with the null and alternative hypothesis as follows: \( H_0: p = 0.03 \) and \( H_a: p < 0.03 \).

Choose the statement that best describes the significance level in the context of the hypothesis test. The significance level of 0.05 is

- ○ the probability of concluding that the faulty rate is less than 0.03 when in fact the faulty rate is equal to 0.03.
- ○ the z-statistic that we will use to compare the observed outcome to the null hypothesis.
- ○ the rate of faulty monitors that we believe is the true rate.
- ○ the probability of concluding that the faulty rate is equal to 0.03 when in fact it is less than 0.03.

The option "the z-statistic that we will use to compare the observed outcome to the null hypothesis" is selected, but it is noted by the red cross as incorrect.
Transcribed Image Text:A running shoe manufacturer believes that its supply of faulty running shoes is less than 0.03, the rate deemed acceptable. We perform a hypothesis test at a significance level of 0.05 with the null and alternative hypothesis as follows: \( H_0: p = 0.03 \) and \( H_a: p < 0.03 \). Choose the statement that best describes the significance level in the context of the hypothesis test. The significance level of 0.05 is - ○ the probability of concluding that the faulty rate is less than 0.03 when in fact the faulty rate is equal to 0.03. - ○ the z-statistic that we will use to compare the observed outcome to the null hypothesis. - ○ the rate of faulty monitors that we believe is the true rate. - ○ the probability of concluding that the faulty rate is equal to 0.03 when in fact it is less than 0.03. The option "the z-statistic that we will use to compare the observed outcome to the null hypothesis" is selected, but it is noted by the red cross as incorrect.
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