Answer:
Part 1) The explanatory variable is the type of oven
It is a categorical variable
Part 2) The response variable is the baking time
It is a quantitative variable
part 3) two-sample z-test for proportions should be used for the test
Step-by-step explanation:
An explanatory variable is an independent variable that is not affected by all other variables. In this experiment, the type of oven is the input variable and it is not affected by any other variable
A categorical variable is one that has two or more categories without any intrinsic ordering of the categories. The type of oven is either gas or electric, so it is categorical.
A response variable is a dependent variable whose variation depends on other variables. The baking time in this experiment depends on the type of oven used
A quantitative variable is one that take on numerical values.
A two proportion z-test allows you to compare two proportions to see if they are the same. The null hypothesis (H0) for the test is that the proportions are the same. The alternate hypothesis (H1) is that the proportions are not the same.
-2 - 24i, you can easily sum all real and imaginary parts to find this.
Alternatively, you can of course write -(2+24i)
C
If Nelson’s score was -4, he took 4 strokes less than par. His score was 68
Erwin has 1 more point than Nelson. The person with the most points loses, so Nelson won by 1 stroke.
Answer:
There is no sufficient evidence to support the executive claim
Step-by-step explanation:
From the question we are told that
The population proportion is 
The sample proportion is 
The sample size is 
The level of significance is 
The null hypothesis is 
The alternative hypothesis is 
Generally the test statistics is mathematically evaluated as
=> 
=> 
The p-value is mathematically represented as
Form the z-table
=> 
=> 
Given that 
we fail to reject the null hypothesis
Hence we can conclude that there is no sufficient evidence to support the executive claim
