(Strayer, D. L. 2007), A study by Carnegie Mellon University showed that drivers talking on cell phones can miss seeing<u> 50 % </u>of their driving environment, including pedestrians and green lights.
<h3>What are the risks of using cell phones while driving?</h3>
There are studies, which have found that drivers who use cell phones while driving are more likely to face accidents resulting in injuries and there is a correlation that exists between phone use and accountability for crashes.
Therefore, (Strayer, D. L. 2007), A study by Carnegie Mellon University showed that drivers talking on cell phones can miss seeing<u> 50 % </u>of their driving environment, including pedestrians and green lights.
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Answer:
Cleaning service is something I would like to create
Explanation:
Seeing how cleaning is and should be apart of our everyday life system it is important and necessary that we have more products and services that are created. This is one of the most essential things that we need right now.
Given:
Principal = 11,000
return rate = 6%
term = 20 years
Without additional information, I can treat this problem as a simple interest problem.
Simple Interest = Principal * rate * term
Simple Interest = 11,000 * 0.06 * 20 years
Simple Interest = 13,200
11,000 + 13,200 = 24,200 total balance after 20 years.
Assuming that the interest is compounded once a year.
A = P (1 + i/n)^t*n
A = 11,000 (1 + 0.06/1)^20*1
A = 11,000 (1.06)^20
A = 11,000 * 3.207
A = 35,278.49 total amount after 20 years.
The amount involving compounding interest is greater than simple interest because in compounding interest, the interests earned in the previous years also earn its own interest. Whereas, in simple interest only the principal earns an interest.
The most likely answer is option 3
Answer:
Answer: Yes, There is a linear correlation between the weights of the bears and their chest sizes because the absolute value of the test statistics 0.961 exceeds the critical value
Explanation:
Claim: There is a linear correlation between the weights of the bears and their chest sizes
Null hypothesis, H₀ : p=0 (there is no significant correlation)
Alternative hypothesis, H₁ : p ≠0 (there is no significant correlation)
Level of significance, α = 0.05
Decision rule: Reject H₀ if robserved ≥ rcritical
Sample correlation coefficient r = robserved = 0.961
Yes, There is a linear correlation between the weights of the bears and their chest sizes because the absolute value of the test statistics 0.961 exceeds the critical value
