Fresh Grad Lands Job as Real Estate Agent With Help from Professional Writers

People go to websites to get the information they desperately need. They could be looking for an answer to a nagging question. They might be looking for help in completing an important task. For recent graduates, they might be looking for ways on how to prepare a comprehensive resume that can capture the attention of the hiring manager

Manush is a recent graduate from a prestigious university in California who is looking for a job opportunity as a real estate agent. While he already has samples provided by his friends, he still feels something lacking in his resume. Specifically, the he believes that his professional objective statement lacks focus and clarity.

Thus, he sought our assistance in improving editing and proofreading his resume.

In revising his resume, iwritegigs highlighted his soft skills such as his communication skills, ability to negotiate, patience and tactfulness. In the professional experience part, our team added some skills that are aligned with the position he is applying for.

When he was chosen for the real estate agent position, he sent us this thank you note:

“Kudos to the team for a job well done. I am sincerely appreciative of the time and effort you gave on my resume. You did not only help me land the job I had always been dreaming of but you also made me realize how important adding those specific keywords to my resume! Cheers!

Manush’s story shows the importance of using powerful keywords to his resume in landing the job he wanted.

Solve the problem. Round to the nearest tenth unless indicated otherwise. In one region, the September energy consumption levels for single-family homes are found to be normally distributed with a mean of 1050 kWh and a standard deviation of 218 kWh. Find , which is the consumption level separating the bottom 45% from the top 55%.

Question

Solve the problem. Round to the nearest tenth unless indicated otherwise.
In one region, the September energy consumption levels for single-family homes are found to be normally distributed with a mean of 1050 kWh and a standard deviation of 218 kWh. Find , which is the consumption level separating the bottom 45% from the top 55%.

A 1148.1

B 1078.3

C 1087.8

D 1021.7

This question is taken from Math 136 – Introduction to Statistics » Fall 2021 » QUIZ 5 NORMAL DISTRIBUTION

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