Understanding Hypothesis Testing in Veterinary Research

A veterinarian investigates a disease affecting more male cats than female cats. They test the null hypothesis that the disease proportion is the same for both genders against the alternative that it's higher in males. With a p-value of 0.07, which is less than the significance level of 0.10, they reject the null hypothesis, suggesting more male cats have the disease.

What was the sample size of the study conducted by the veterinarian?

• 500 cats

• 259 cats

• 241 cats

• 100 cats

What was the null hypothesis in the study?

• The disease affects only female cats.

• The disease affects only male cats.

• The disease affects male and female cats equally.

• The disease affects more female cats than male cats.

What was the test statistic value calculated in the study?

• 2.00

• 0.10

• 0.07

• 1.46

What is the significance level used in the study?

• 0.07

• 0.10

• 0.05

• 0.01

What does a p-value less than the significance level indicate?

• The test needs to be repeated.

• The test is inconclusive.

• Reject the null hypothesis.

• Accept the null hypothesis.

What was the p-value obtained in the study?

• 0.07

• 0.05

• 0.01

• 0.10

What conclusion can be drawn if the p-value is less than the significance level?

• The alternative hypothesis is suggested.

• The null hypothesis is supported.

• The results are inconclusive.

• The study is invalid.

What does the alternative hypothesis suggest in this study?

• The disease does not affect cats.

• The disease affects both genders equally.

• A larger proportion of male cats have the disease.

• A larger proportion of female cats have the disease.

Why is it important to meet all conditions for inference in hypothesis testing?

• To simplify the calculations.

• To ensure the test statistic is accurate.

• To increase the sample size.

• To make the study more complex.

What is the role of the significance level in hypothesis testing?

• It determines the sample size.

• It sets the threshold for rejecting the null hypothesis.

• It calculates the p-value.

• It defines the test statistic.