Quality best represents to reduce the likelihood of a product recall
There are many different statistical tools available, some of which are straightforward, some complex, and many of which are quite specialized for certain uses. Comparing data, or groups of data, in analytical activity is the most crucial common procedure for calculating accuracy (bias) and precision. Fortunately, much of the information required in routine laboratory work can be acquired using a few easy-to-use statistical tools: the "t-test," the "F-test," and regression analysis. As a result, examples of these will be provided in the following pages. Clearly, statistics are a tool, not a goal, and a skilled and committed analyst may find simple data examination, without statistical treatment, to be just as beneficial as statistical numbers on their desk.
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Answer:
You should add an identical hard drive, and configure a RAID-0 volume.
Explanation:
Explanation:
The journal entry to close the books is
Cost of Goods sold A/c Dr $1,200
To Manufacturing Overhead A/c $1,200
(Being the under-applied overhead is recorded)
Since the jobs were undercosted, that means the overhead is applied under overhead so we debited the cost of goods sold account and credited the manufacturing overhead account. Both the items are recorded for $1,200
Answer:
false
Explanation:
The allowance procedure estimates bad debt expense before an uncollectible account receivable has been purposed to be uncollectible.
Answer:
It is observed that the value of test statistics (19.168) is greater than the critical value (13.277), thus the rejected hypothesis, H₀ at α = 0.01.
There is enough evidence to conclude or deduce that sales were the same for all locations
Explanation:
Solution
Given that:
Object: Test whether the sales were the same for all locations by applying 1% significance level.
The Null Hypothesis H₀ : Sales were the same for all locations
E₁ = 70 +75 +70+ 50 + 35/5 = 60
The Alternative Hypothesis Hₐ : Sales were not the same for all locations
Now,
The decision rule:
the Level of Significance be α = 0.01
Degrees of freedom is df= Number of categories -1
=5-1 = 4
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