7A - The Chi-squared test Flashcards

1
Q

What can the chi-squared test be used for?

A

To check the results of a genetic cross.

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2
Q

What is the chi-squared test?

A

A statistical test that is used to see if the results of an experiment support a theory.

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3
Q

In the chi-squared test, what is the theory first used for?

A

To predict a result - the expected result.

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4
Q

What is the expected result in a chi-squared test?

A

The predicted result from the theory.

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5
Q

What is the observed result in a chi-squared test?

A

The actual result.

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6
Q

What is the actual result called in the chi-squared test?

A

The observed result.

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7
Q

What is the predicted result called in the chi-squared test?

A

The expected result.

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8
Q

In the chi-squared test, what hypothesis is made to see if the results support the theory?

A

Null hypothesis.

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9
Q

What is the null hypothesis always?

A

That there is no significant difference between the observed and expected results.

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10
Q

What can the chi-squared test be used in genetics to test theories about?

A

Inheritance of characteristics.

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11
Q

How do you carry out a chi-squared test?

A

First, you need to predict the results (expected results) and come up with a null hypothesis.

Then carry out the test using the formula:
Chi-squared=The sum of((O-E)2/E)

From this, to find out if there is a significant difference between yout observed and expected results you need to compare the X2 value to a critical value which corresponds to 5% (0.05) level of probability that the difference is due to chance.

If you value of chi-squared is larger than or equal to the critical value then there is a significant difference between the O and E results (something other than chance) - and the null hypothesis can be rejected.

If you value of chi-squared is smaller than to the critical value then there is no significant difference between the O and E results - and the null hypothesis can be accepted (we’ve failed to reject the null hypothesis).

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12
Q

When is a null hypothesis rejected?

A

If you value of chi-squared is larger than or equal to the critical value then there is a significant difference between the O and E results (something other than chance) - and the null hypothesis can be rejected.

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13
Q

When is a null hypothesis accepted?

A

If you value of chi-squared is smaller than to the critical value then there is no significant difference between the O and E results - and the null hypothesis can be accepted (we’ve failed to reject the null hypothesis).

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14
Q

What % probability do we use in the chi-squared test?

A

0.05 or 5%.

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15
Q

How do you find the correct critical value from a table?

A

First find the degrees of freedom for the experiment - this is the number of classes (number of phenotypes) minus 1.

Then look across the row to the column corresponding to 0.05 or 5% for the critical value.

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16
Q

How do you work out degrees of freedom?

A

This is the number of classes (number of phenotypes) minus 1.