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A biologist is studying the composition of birds on a lake and counts 61 ducks, 17 geese, 11 cranes, 15 swans, and 6 herons. From previous studies performed around the same time of the year, she expects 50% of the birds to be ducks, 23% to be geese, 12% to be cranes, 10% to be swans, and 5% to be herons. What are the correct null and alternative hypotheses for performing a chi-square goodness of fit test? Select one.Question 1 options: Null Hypothesis H0 : The distribution of birds observed follows the Student’s t-distribution.Alternative Hypothesis H1: The distribution of birds observed does not follow the Student’s t-distribution. Null Hypothesis H0 : The distribution of birds observed does not follow the distribution from previous studies.Alternative Hypothesis H1: The distribution of birds observed follows the distribution from previous studies. Null Hypothesis H0 : The distribution of birds observed follows the Normal distribution.Alternative Hypothesis H1: The distribution of birds observed does not follow the Normal distribution. Null Hypothesis H0 : The distribution of birds observed follows the distribution from previous studies.Alternative Hypothesis H1: The distribution of birds observed does not follow the distribution from previous studies.

Respuesta :

The observed distribution matches the distribution from earlier investigations, according to the null hypothesis H0.

H1 as an alternative: The observed distribution of birds does not match the distribution from earlier research.

What is null hypothesis?

The null hypothesis states that there is no correlation between the variables and that they are all independent of one another. Any correlation between the variables is most likely the result of chance and sampling error.

For instance: Species A and B are independent of one another; there is no meaningful link between them. There is no correlation between Species A's location and Species B's location.

What is an alternative hypothesis?

"There is a significant (positive or negative) correlation between the variables; the association between variables is probably not an attributable to chance or sampling error," is an alternative hypothesis.

For instance, there is a strong relationship between Species A and Species B; they are dependent on one another. It is either the case that Species A strongly associates with Species B or that they do not.

To learn more about null hypothesis visit:

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