### Analyzing CEO Age Demographics in Top Small FirmsA magazine published data on the best small firms in a certain year. These were firms that had been publicly traded for at least a year, had a stock price of at least $5 per share, and had reported annual revenue between $5 million and $1 billion. The table below displays the ages of the chief executive officers (CEOs) for the first 64 ranked firms.| Age | Frequency | Relative Frequency | Cumulative Relative Frequency ||-------|-----------|--------------------|------------------------------|| 40-44 | 4 | | || 45-49 | 8 | | || 50-54 | 19 | | || 55-59 | 19 | | || 60-64 | 18 | | || 65-69 | 5 | | || Total | 73 | | |#### Questions:1. **What is the frequency for CEO ages between (but not including) 54 and 55?** - Answer: 202. **What percentage of CEOs are 65 years or older?** - Answer: 7%3. **What is the relative frequency of ages under 50?** - Answer: 0.224. **What is the cumulative relative frequency for CEOs younger than 55?** - Answer: 0.475. **Which graph shows the relative frequency?** - The answer to this question is determined by comparing the provided graph images and identifying the correct graph that accurately represents the relative frequencies as per the table data.#### Explanation of Graphs:- **Relative Frequency Graph:** This bar graph helps to compare the proportional representation of different age groups among CEOs. Each bar height represents the relative frequency calculated by dividing the frequency of each age group by the total number of CEOs surveyed. - **Cumulative Relative Frequency Graph:** This graph would show the running total of the relative frequencies up to the certain age, helping to identify how the proportion accumulates across the age ranges listed.By using these tools and analysis, educational users can better understand the age distribution among CEOs in prominent small firms and how to interpret such demographic data for various evaluations and decisions.

The question is about frequency distributionGiven :To find :Complete the tablea ) Freq. for the CEO…

Answered: A magazine published data on the best…

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

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The following statistics represent weekly salaries at a construction company. Mean $620 First quartile $485 Median $540 Third quartile $600 Mode $535 94th percentile $683 The most common salary is $ The salary that half the employees' salaries surpass is $ The percent of employees' salaries that surpassed $600 is The percent of employees' salaries that were less than $485 is %. The percent of employees' salaries that surpassed $683 is %. If the company has 100 employees, the total weekly salary of all employees is $ %.
mpute Marshall – Edgeworth price index number for the following data by taking 2016 as base year. Items sold out in a men's wear 2017. 2016 GRSH Prices Quantity Quantity Prices Shirts 900 175 700 150 Pants 1200 150 1000 100 Sandals 600 100 500 70 Shoes 1800 60 1500 50 150 Belts Watches 400 100 600 250 300 1500 1200
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The table below shows the share of income going to each quintile of the income distribution for Neverland in 1980 and 1990. Complete the table below finding the the cumulative share of income for 1980 and 1990 and answer the following: Share of income in Cumulative share of Share of income in Cumulative share of Quintiles 1980 income in 1980 1990 income in 1990 1st 7% 6.6.% 2nd 11.5% 11.5% 3rd 17% 16.3% 4th 24.8% 22.7% 5th 39.7% 42.9% a) Sketch the Perfect Equality line and the Lorenz curve for 1980 and for 1990. Don't forget to label your graph and your curves! b) According to the Lorenz curves that you draw in (a), which year had worse income inequality, 1980 or 1990? JUSTIFY your answer! NOTE: This is a file upload question. Work your answer in a piece of paper, take a picture and upload your file.
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For a particular red wine, the following data show the auction price for a 750-milliliter bottle and the age of the wine in June of 2016. Age (years) 37 20 29 33 41 26 29 45 34 22 Price ($) 256 142 217 255 331 168 209 297 237 182
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