Answer:
52,338
Explanation:
Since we have to choose such a group of 5 in which number of boys should be greater than the number of girls, therefore each group could have (3 boys, 2 girls) or (4 boys, 1 girl) or (5 boys, 0 girls).
Based on the above discussion the answer shall be:
Number of ways =13C3 x 17C2+13C4 x 17C1+[13C5 x 17C0
=38,896+12,155+1,287
=52,338
Answer:
10 tabletops
Explanation:
Given that her basic weekly income is $300
Hence for her to meet are target of $1000 she has to work for the extra $700 since $300 is guaranteed
If one completed table top earn her $75
Hence she must complete 10 table tops to earn $750
Total earning = 750+300= $1050
Answer:
c. lower the risk of supply disruption
Explanation:
Having multiple suppliers is always a good sourcing strategy, as it <u>minimizes the risk of supply disruption</u>. If one of the suppliers fails to maintain the contract due to various reasons (bad business operating), the risk is dispersed among a few suppliers, so there is the contingency principle applied.
This way, the supply chain never gets disrupted.
Answer:
The predicted value of Revenue is $98.24.
Explanation:
The data provided is for the weekly gross revenue, the amount of television advertising and the amount of newspaper advertising.
Determine the regression equation developed to estimate the amount of weekly gross revenue based on television advertising using Excel.
Consider the Excel image for Summary Output for Weekly Revenue Vs. T.V. Adv.
The estimated regression equation with the amount of television advertising as the independent variable is:
<em>Revenue </em>= 89.31 + 1.27 <em>TVAdv</em>
Consider the Excel image for Summary Output for Weekly Revenue Vs. T.V. Adv. & News Adv.
The estimated regression equation with both television advertising and newspaper advertising as the independent variables is:
<em>Revenue </em>= 83.78 + 1.78 <em>TVAdv</em> + 1.47 <em>NewsAdv </em>
For TVAdv = $4.9 and NewsAdv = $3.9 predict the value of Revenue as follows:


Thus, the predicted value of Revenue is $98.24.