, IOP1501
ASSIGNMENT 3 2024
QUESTION 1
1.1. In this module, the standard level of significance is consistently stated as 0.005.
(a) However, this is false. Typically, we operate with significance levels of 5% or 1%,
represented as 0.05 or 0.01, respectively.
A Type I error is made by rejecting the null hypothesis when it is in fact true.
True- There are two types of errors, Type 1 and Type 2. A Type I error means rejecting a
null hypothesis when it is true. A Type II error means not rejecting a null hypothesis when
it is false.
If you get a negative value for the F-test, this means the test statistic falls inside the
rejection area. False- We never observe negative F-values.
ASSIGNMENT 3 2024
QUESTION 1
1.1. In this module, the standard level of significance is consistently stated as 0.005.
(a) However, this is false. Typically, we operate with significance levels of 5% or 1%,
represented as 0.05 or 0.01, respectively.
A Type I error is made by rejecting the null hypothesis when it is in fact true.
True- There are two types of errors, Type 1 and Type 2. A Type I error means rejecting a
null hypothesis when it is true. A Type II error means not rejecting a null hypothesis when
it is false.
If you get a negative value for the F-test, this means the test statistic falls inside the
rejection area. False- We never observe negative F-values.
