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Citrus2011 [14]
3 years ago
13

After making makes a series of observations of a certain phenomenon in a laboratory, a scientist develops a theory that explains

these results and predicts new values for future observations. Another scientist makes a series of appropriate observations but his results always contradict the predictions of the theory. What should the first scientist do?
Social Studies
1 answer:
Gekata [30.6K]3 years ago
6 0

Answer:

Try to change his theory to correlate with the new observations, otherwise, discard his theory.

Explanation:

For scientist to develop a thoery, he must be able to follow the following steps:

1. Making of observation

2. List out questions relating to the object of research

3. Create hypotheses

4. Form prediction on the basis of hypotheses

5. Test the prediction

6. Perform iteration

Hence, if the predictions of the theory correlates with the results of the test, the theory will be temporarily confirmed. Otherwise, the scientist should try to change his theory to correlates or be in accordance with the new observations and, if he cannot do so, discard his theory.

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Answer:

a)  

   Step-by-step explanation:

Previous concepts

A chi-square goodness of fit test "determines if a sample data matches a population".

A chi-square test for independence "compares two variables in a contingency table to see if they are related. In a more general sense, it tests to see whether distributions of categorical variables differ from each another".

Solution to the problem

Let's define some notation:

N= Total number of individuals for a population

n = Total of individuals selected from a sample

n1= number of objects/individuals with characteristic 1

n2= number of objects/individuals with characteristic 2

k1= number of levels for the variable or factor 1

k2= number of levels for the variable or factor 2

Part a

For a chi square goodness of fit test the degrees of freedom are given by:

Where k represent the total number of categories on the godness of fit test.

Part b

For a chi square test of independence the degrees of freedom are given by:

Where k1= number of levels for the variable or factor 1, k2= number of levels for the variable or factor 2 for the chi square test for independence.

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