Answer:
Common-ground persuasion technique
Explanation:
A common-ground persuasion technique is a technique aimed at improving interpersonal relationships. Like the word, common ground means establishing agreement on certain ideas or points in other to ensure that relationships between individuals are stable and problem free.
In the case of Rebecca, she has used the common-ground persuasion technique to ensure that her boss accepts her suggestion that one of the office assistants take on the responsibility of completing the sales report. By carefully outlining more disadvantages of her taking up the responsibility, her boss will most likely agree to her suggestion.
Cheers.
Answer: $50,301
Explanation:
If they offered the new terms of 2/10, net 30 then 45 percent of their customers would pay on day 10 with the remainder paying on average in 32 days.
The collection period would therefore be;
= 0.45 * 10 + 0.55 * 32
= 22.1 days
Currently the Average Daily sales are;
= Average Receivables/ Average collection period
= 211,410/29
= $7,290
With the new collection period their Average receivables would be;
= 7,290 * 22.1
= $161,109
Potential cash to be freed up = Current Receivables - New receivables
= 211,410 - 161,109
= $50,301
Answer: a. benefits Boxlandian consumers by $672 and harms Boxlandian producers by $598.50.
Explanation:
Equilibrium price will be at level where quantity demanded equals quantity supplied.
200 − 2P = -60 + 3P
200+60 = 5P
5P = 260
P = $52
Equilibrium Quantity Demanded = 200 − 2P = 200 - 2 * 52 = 96 units
In a no-trade situation the demand in Boxland is 96 units at a price of $52. If they were to buy at the world price of $45, they would benefit;
= (96 * 52) - (96 * 45)
= 4,992 - 4,320
= $672
Producers however would produce the following at a price of $45;
Q S = -60 + 3P
= -60 + 3(45)
= 75 units
They would be supplying less units and be hurt.
Answer:
The common problem i encounter mostly is the statistical modelling problem.
In this scenario we choose best combination of independent variables for the hypothesis testing. the independent variable shows the significant effect on dependent variable so we keep it in modelling.
My null hypothesis would be that there is no significant effect of independent variable on dependent variable. for my alternative hypothesis there exist is significant effect of independent variable on dependent variable.
Explanation:
The common problem I face daily is the statistical modelling problem which is the selection of relevant independent variable for prediction modelling.
In this example to select the best combination of independent variables we use hypothesis testing. if the independent variable has significant effect on dependent variable then the independent variable shows the significant effect on dependent variable so we keep it in modelling. In this way the model gets improved.
Since there are always two variables or two categories. hence it has a two sample test.
The Hypothesis can be shown below:
Null hypothesis:
H0: There is no significant effect of independent variable on dependent variable.
Alternative hypothesis:
Ha: There is significant effect of independent variable on dependent variable.
Answer:
Category variable: Caucasians, Asians, Africans
Quantitative variable: 20%, 25%, 1%.
Explanation: The are two variables in these study. They are categorical variable and quantitative variable.
Categorical variables are variable that helps classify a given population eg race, hair colour, skin colour. Most of the time are not numerical, so we can't multiply, add or subtract them. As given in this assignment the Caucasians, Asians and Africans are category variables.
Quantitative variables are those that numerical and they reflect count, percentages(20%, 25%, 1%) and can be added, subtracted, or multiplied. The percentage of the ethnic group is an example of quantitative variable.
