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.
Data Analysis - Process. Data Analysis is a process of collecting, transforming, cleaning, and modeling data with the goal of discovering the required information. The results so obtained are communicated, suggesting conclusions, and supporting decision-making.
Answer:
It increases by 50 units.
Explanation:
Current break even point = 
Here, fixed cost = $4,500
Contribution per unit = Selling price - Variable Cost = $20 - $10 = $10
Current break even point = 
If variable cost increase by 10% then revised variable cost = $10 + 10% = $11
Contribution per unit = $20 - $11 = $9 per unit
Break even sales in units = 
Difference in original and revised break even = Revised - Original = 500 - 450 units = 50 units,
Thus original break even increases by 50 units, = 50/450 = 11.11% increase.
Final Answer
It increases by 50 units.
Answer:
the standard price per yard is $6.25
Explanation:
The computation of the standard price per yard is shown below;
Material quantity variance = Standard Price × (Actual quantity - Standard quantity)
-$5,000 = Standard price × (10,000 - 10,800)
Thereore Standard price = -$5,000 ÷ (-800)
= $6.25
Hence, the standard price per yard is $6.25
We simply applied the above formula so that the standard price per yield could come
Answer:
I think so buh I’d advice u to make it its correct