Answer:
Explanation:
1)
: All group means equal or 
At least one of the treatment group means are different
ANOVA TABLE
<u>Source of Variation SS df MS F P-value F crit
</u>
Between Groups 213.5 3 71.16667 0.65 0.5975 3.490295
Within Groups 1312.5 12 109.375
MSB = SSB / DFB = 71.16667
MSE = SSE / DFE = 109.375
F = MSB / MSE = 0.650667
3) P-value: 0.597576
The test statistic is not significant and failed to reject the null hypothesis.
4) The test statistic is not significant. So, there is no evidence to conclude that there is a difference between groups.
Answer: Cost of Goods sold
Explanation:
Common size analysis refers to making all entries in the income statement, a percentage of sales for that year.
Current Year Prior Year
Sales 100% 100%
Cost of Goods sold 75.7% 46.5%
Gross Profit 24.3% 53.5%
Operating expenses 17.3% 35%
Net Income 7.0% 18.5%
<em>Looking at the percentages above, one can see that the COGS increased the most from the previous year by going from 46.5% to 75.7% representing an increase of 29.2%.</em>
<em>This had the most impact on Net income as it substantially reduced Gross profit. </em>
The special program that they have conducted to the infants worked. The experiment was a success. And because of this, they could conduct more, special programs and even in a larger amount of infants they can conduct this. This special program is really beneficial to each and every one of them.
<span>When you make this decision, you are primarily using your critical thinking. You are using information you were given in the past and applying it to future events.</span>
