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A Quiet World—Living with Hearing Loss In “Close-Up: Living in a Silent World,” text author David Myers gives a personal account of his mother’s and now his own personal challenge in dealing with hearing loss. In his book A Quiet World, Myers tells much more of this moving story.  In diary fashion, Myers relates the problems at home and at work that accompany gradual hearing loss. He recounts errors tragic and humorous. Both from his personal experience and his expertise as a research psychologist he helps readers understand the impact of the impairment on sufferers and on those closest to them. As Paul Chance observes, Myers helps his audience appreciate how the inability to hear can become the inability to connect. Myers’ later journal entries describe, for example, his encounters with new technologies and recent insights into the nature of hearing. PART I:Discuss any experiences you have had interacting with someone who is deaf or suffers from a hearing loss? Surf the internet and identify some common (effects i.e., psychosocial, social, educational, communication, and educational) of deafness and hearing loss in children and/or adults? Provide a summary of your findings and the link for the website visited.  (DO NOT USE THE same website your classmate has selected) Provide three tips for friends, colleagues, and family members who have a love one who is deaf or has hearing loss?Part II:Visit the website submitted by one of your classmates then compare and contrast your findings/tips with your classmates findings/tips

Table A-6.pdf Consider the following data that compares the Consumer Price Index (CPI) with subway fare in a particular city:CPI 30.2 48.3 112.3 162.2 191.9 197.8Subway Fare 0.15 0.35 1.00 1.35 1.50 2.00a. Using the given data, construct a scatter plot with CPI as the independent variable (x) and subway fare as the dependent variable (y).b. Write the regression equation that predicts subway fare in terms of CPI.c. Using the equation found in Part b, find the best predicted cost of subway fare when the CPI is 182.5.1. Listed below are baseball team statistics consisting of the proportions of wins and the result of this difference: Difference (number of runs scored) – (number of runs allowed). The statistics are from a recent year, and the teams are NY—Yankees, Toronto, Boston, Cleveland, Texas, Houston, San Francisco, and Kansas City.Difference 163 55 –5 88 51 16 –214Wins 0.599 0.537 0.531 0.481 0.494 0.506 0.383a. Construct a scatter plot, find the value of the linear correlation coefficient r, and find the critical values of r from Table A–6 using α = 0.05.b. Is there sufficient evidence to conclude that there is a linear correlation between the proportion of wins and the above difference?2. One classic application of correlation involves the association between the temperature and the number of times a cricket chirps in a minute. Listed below are the numbers of chirps in 1 min and the corresponding temperatures in °F:Chirps in 1 min882 1188 1104 864 1200 1032 960 900Temperature (°F)69.7 93.3 84.3 76.3 88.6 82.6 71.6 79.6a. Construct a scatter plot, find the value of the linear correlation coefficient r, and find the critical values of r from Table A–6 using α = 0.05.b. Is there a linear correlation between the number of chirps in 1 min and the temperature?Below is a control chart for the temperature of a freezer unit in a restaurant. The owner of the restaurant is deciding whether or not to buy a new unit. The two charts display the temperature for the past two weeks. Write a paragraph analyzing the control charts and argue whether the owner should buy a new unit or not. Control Charts for Variation and Mean3. Below is a control chart for the temperature of a freezer unit in a restaurant. The owner of the restaurant is deciding whether or not to buy a new unit. The two charts display the temperature for the past two weeks. Write a paragraph analyzing the control charts and argue whether the owner should buy a new unit or not. (5-6 sentences) See Graph attachment.