Exercise 1 Directions: Write TRUE if the statement is correct; otherwise, write FALSE. 1) The null hypothesis always indicates an exact hypothesized value of the parameter. 2) If the null hypothesis is true but is rejected, the decision is correct. 3) A Type I error is made when the null hypothesis is rejected when it is true. 4) The risk of Type Il error does not depend on the risk of Type l error. 5) If we assume a to be 5%, this means the probability of rejecting a true null hypothesis is 5 out of 100. 6) The probability of committing a type I error is the significance level of the test. 7) Type l error occurs when we convict a person, in reality, did not commit the crime. 8) Type Il error could be acquitting a person who, in reality, committed the crime. 9) The higher the level of significance, the higher the probability of rejecting the null hypothesis when it is true. 10) No two things can be and cannot be at the same time.

MATLAB: An Introduction with Applications
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Chapter1: Starting With Matlab
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Exercise 1
Directions: Write TRUE if the statement is correct; otherwise, write FALSE.
1) The null hypothesis always indicates an exact hypothesized value of the parameter.
2) If the null hypothesis is true but is rejected, the decision is correct.
3) A Type l error is made when the null hypothesis is rejected when it is true.
4) The risk of Type ll error does not depend on the risk of Type I error.
5) If we assume a to be 5%, this means the probability of rejecting a true null hypothesis is 5 out of
100.
6) The probability of committing a type l error is the significance level of the test.
7) Type l eror occurs when we convict a person, in reality, did not commit the crime.
8) Type II error could be acquitting a person who, in reality, committed the crime.
9) The higher the level of significance, the higher the probability of rejecting the null hypothesis
when it is true.
10) No two things can be and cannot be at the same time.
Transcribed Image Text:Exercise 1 Directions: Write TRUE if the statement is correct; otherwise, write FALSE. 1) The null hypothesis always indicates an exact hypothesized value of the parameter. 2) If the null hypothesis is true but is rejected, the decision is correct. 3) A Type l error is made when the null hypothesis is rejected when it is true. 4) The risk of Type ll error does not depend on the risk of Type I error. 5) If we assume a to be 5%, this means the probability of rejecting a true null hypothesis is 5 out of 100. 6) The probability of committing a type l error is the significance level of the test. 7) Type l eror occurs when we convict a person, in reality, did not commit the crime. 8) Type II error could be acquitting a person who, in reality, committed the crime. 9) The higher the level of significance, the higher the probability of rejecting the null hypothesis when it is true. 10) No two things can be and cannot be at the same time.
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