Respuesta :
Answer:
The critical z value used to test a null hypothesis is ±1.645.
Step-by-step explanation:
We are given that the data has a normal distribution and the number of observations is greater than fifty.
And we have to find the critical z value used to test a null hypothesis at α = 0.1 for a two-tailed test.
Firstly, as we know that to find the critical z value we need only the level of significance to be known.
Here, the level of significance is given = [tex]\alpha[/tex] = 0.10
But for the two-tailed test, the level of significance to be considered is given by = [tex]\frac{\alpha }{2}[/tex] = [tex]\frac{0.10}{2}[/tex] = 0.05 or 5%.
Now, in the z table; we can see that the critical z value at a 5% level of significance (for the two-tailed test) is given as 1.645.
Hence, the critical z value used to test a null hypothesis at α = 0.1 for a two-tailed test is ±1.645.
According to the z-distribution, the critical value is given by:
a. ±1.645
The critical value for a two-tailed test with a significance level of [tex]\alpha[/tex] is |z| such that -z has a p-value of [tex]\frac{\alpha}{2}[/tex].
In this problem, [tex]\alpha = 0.1[/tex], then [tex]\frac{\alpha}{2} = 0.05[/tex].
- Looking at the z-table, z has a p-value of 0.05 for z = -1.645, hence the critical value is ±1.645
A similar problem is given at https://brainly.com/question/18306091