As a result of having increased from a price of $55 to $85, we can say that the stock value increased by<u> 54.55%</u>
The stock was valued at $55 then it increased to $85. First thing to do is to check how much it increased by in dollar terms:
<em>= New price - old price </em>
= 85 - 55
= $30
In percentage terms, this is:
<em>= Increase/ Old price x 100%</em>
= 30 / 55 x 100%
= 54.55%
In conclusion, the stock value increased by 54.55%
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Answer:
The operational improvement cycle is referred to as the:
c. DMAIC cycle
Explanation:
The DMAIC cycle involves continuous operational improvement. The 'D' stands for 'to define' the process. The 'M' stands for ' to measure' or quantify the performance process. The 'A' stands for ' to analyze' performance to determine root causes. The 'I' stands for 'to improve; the process. The 'C' stands for control to achieve benefits. These processes are the Sigma Six improvement processes that have been proven to yield improved organizational processes.
Answer:
Which of the following is true if you decide to take the vacation?
(B) The benefits of going on the vacation exceed the benefits you would obtain from the new computer.
Explanation:
The benefits of going on the vacation exceed the benefits you would obtain from the new computer.
The cost of going on the vacation is less than the cost of the computer.
Exhaust. <span> Your exhaust system should not have leaks that increase the noise level. Leaks in the exhaust system are dangerous because they expose occupants to carbon monoxide and other toxic gases.</span>
Answer:
3. the sampling distribution of the sample mean is normally distributed.
5. the value of the sample mean varies from sample to sample.
Explanation:
We develop confidence interval for population mean because
a. the sampling distribution of the sampling mean is normally distributed. For us to do this we must first ensure that the sample mean is large enough
B. The value of the sample mean is not the same for all samples it varies from sample to sample. Therefore it it is better that an internal is given with the probability that the parameter falls into it.
