In implementing some of your steps, anticipate the challenges as they are bound to e related to your specific goal.
<h3>What are challenges?</h3>
Generally, challenges are simply a competitive situation to determine who is superior in a specific field.
In conclusion, in carrying out set goals, missions, or said steps or series of activities we tend to meet challenges, and these challenges are anticipated by the nature of activity.
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Answer:
The statement is true
Explanation:
As a fact, I agree that with large sample sizes, even the small differences between the null value and the observed point estimate can be statistically significant.
To put it differently, any differences between the null value and the observed point estimate will be material and/or significant if the samples are large in shape and form.
It's also established that point estimate get more clearer and understandable, and the difference between the mean and the null value can be easily singled out if the sample size is bigger.
Suffix to say, however, while the difference may connote a statistical importance, the practical implication notwithstanding, will be looked and studied on a different set of rules and procedures, beyond the statistical relevance.
Answer:
depreciation rate per unit $0.34
Explanation:
To calculate the depreciation cost per unit we divide the amount subject to depreciation by the estimated untis production over its useful life:
depreciable amount:
$41,000 - $3,600 = $ 37,400
depreciation rate:
$37,400 / 110,000 units = $0.34
Answer:
$0.013
0.010724
Explanation:
Given that :
Mean, m = 36500
Standard deviation, s = 5000
Refund of $1 per 100 mile short of 30,000 miles
A.) Expected cost of the promotion :
P(X < 30,000)
Using the Zscore relation :
Zscore = (x - m) / s
Zscore = (30000 - 36500) / 5000
= - 6500 / 5000
= - 1.3
100 miles = $1
1.3 / 100 = $0.013
b. What is the probability that Grear will refund more than $50 for a tire?
100 miles = $1
$50 = (100 * 50) = 5000 miles
Hence, more than $50 means x < (30000 - 5000) = x < 25000 miles
P(x < 25000) :
(25000 - 36500) / 5000
-11500 / 5000
= - 2.3
P(z < - 2.3) = 0.010724 (Z probability calculator)
Answer:
If the lender rate decline he will be worst of due to consumer buying behavior.
Explanation:
- Lenders are creditors and not all creditors are leanders. During a decline in the interest rates goes down and borrowing gets cheaper. The leander will be worse after the interest rates decline. If the interest rate rises or changes the lender may get higher rates.
