Critical regions get larger as α values get smaller. t or f, and why or why not?

This is false.

Alpha represents the maximum probability of a type I error we are willing to accept. As alpha gets smaller, the critical regions move out towards the tails of the distribution. In other words, alpha represents the proportion of the distribution that forms the critical region(s). When alpha = 0.10, 10% of the distribution is in the critical region(s). In contrast, when alpha = 0.01, only 1% of the distribution is in the critical region.

The Critical value is a sampling distribution in the subject statistics and it is also known as α region. It is also a section of codes. The significance level is when the null hypothesis is rejected and if the p-value is less than the predetermined level.

b. 6

step-by-step explanation:

we are given the table representing an exponential function.

we can see from the table that, as x is increasing, the value of y is increasing in the power of 6.

i.e. the following relation is obtained,

x = 1, y = 6

x = 2, y = 36 =

x = 3, y = 216 =

x = 4, y = 1296 =

x = 5, y = 7776 =

so, the geometric series obtained is .

thus, the common ratio is given by = = 6.

hence, the common ratio is 6.