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What does this imply about the null hypothesis? a. The test results indicate that the sample proportion is not significantly different from the claimed population proportion, leading to the rejection of the null hypothesis. b. The test results indicate that the sample proportion is significantly different from the claimed population proportion , leading to the rejection of the null hypothesis. c. The test results indicate that the sample proportion is significantly different from the claimed population proportion , leading to the acceptance of the null hypothesis. d. The test results indicate that the sample proportion is not significantly different from the claimed nooulation pronortion. leading to the acceptance of the null hvoothesis

Problemas

What does this imply about the null hypothesis? a. The test results indicate that the sample proportion is not significantly different from the claimed population proportion, leading to the rejection of the null hypothesis. b. The test results indicate that the sample proportion is significantly different from the claimed population proportion , leading to the rejection of the null hypothesis. c. The test results indicate that the sample proportion is significantly different from the claimed population proportion , leading to the acceptance of the null hypothesis. d. The test results indicate that the sample proportion is not significantly different from the claimed nooulation pronortion. leading to the acceptance of the null hvoothesis

What does this imply about the null hypothesis? a. The test results indicate that the sample proportion is not significantly different from the claimed population proportion, leading to the rejection of the null hypothesis. b. The test results indicate that the sample proportion is significantly different from the claimed population proportion , leading to the rejection of the null hypothesis. c. The test results indicate that the sample proportion is significantly different from the claimed population proportion , leading to the acceptance of the null hypothesis. d. The test results indicate that the sample proportion is not significantly different from the claimed nooulation pronortion. leading to the acceptance of the null hvoothesis

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Normamaestro · Tutor durante 5 años
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4.7 (233 votos)

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B

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## Step 1<br />The null hypothesis is a statistical hypothesis that assumes that the observed data is due to chance. It is the hypothesis that we assume to be true before we collect data.<br /><br />## Step 2<br />The null hypothesis is rejected when the sample data provides strong evidence against it. This means that if the sample data is significantly different from the null hypothesis, we reject the null hypothesis.<br /><br />## Step 3<br />In this problem, the null hypothesis is rejected because the sample proportion is significantly different from the claimed population proportion. This means that the sample data provides strong evidence against the null hypothesis.
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