Answer:
No, she did not
Explanation:
In this question, we are asked to answer if Mae stayed within her budget, given her budget and the total amount she later spent.
To solve this problem, what we need to do is to add up all what she budgeted. Afterwards we add up all she spent. Then , we see the difference between the two to actually know if she stayed within her budget of not.
We proceed as follows:;
Let’s calculate budgeted amount: This is ; 180 + 475 + 15 + 50 + 65 + 25 + 150 + 30 = $990
Now, let’s calculate how much she later spent; That would be; 182 + 475 + 12 + 65 + 68 + 12.5 + 36 + 150 = $1000.5
We can see that she spent more that the amount she had budgeted. This means she didn’t stay within the total amount allocated for her budget
Answer:
Variable inputs;Fixed inputs
Explanation:
Based on the information given In the short run, these workers are VARIABLES inputs, and the ovens are FIXED inputs reason been that we were told that her decision as regards to how many workers to use often vary from week to week due to the fact that her workers are students which means that her workers can often be changed which was why it was regarded as VARIABLE INPUTS while ovens on the other hand are considered to be FIXED INPUTS reason been that we were told that she cannot change the number of ovens which she uses in her production of pizzas due to the fact that her kitchen cannot contain more than four ovens which means that the number of oven cannot be my changed which was why they are regarded as FIXED INPUTS.
Answer:
NOT-unless the court believes that justice would be served.
Explanation:
Personal jurisdiction in legal setting can be regarded as the power conferred on a court to make decision on the case of the party that's been sued, for the court to exercise this power , there is a requirement that the party must have contact in minimum way together with forum in the court.
Alpha level is a probability value that is used to define the concept of "very unlikely" in a hypothesis. This value determines he boundaries for the critical region, which is composed of the extreme sample values that are very unlikely to be obtained if the null hypothesis is true. Type I error is <span>when a researcher rejects a true null hypothesis.</span>
The relationship between the alpha level, the size of the critical region, and the risk of a type i error is the following: when the alpha level increases, the critical region increases and type I error increases.
