I would like some detailed assistance and step by step explanation for the following Inference for Paired Samples question

Only answer parts a , b and g.

2. There is a known relationship between number of hours worked and the quality of life. Over time, there has been an attempt to reduce the number of hours worked with the hope to improve quality of life indicators. Unfortunately, this may have different results for varying categories of workers. As illustrated below there are many countries where a significant proportion of the population work more than an eight-hour day on average. Where Do Employees Work Longer Than 9 To 5? % of employees working more than 50 hours per week on average in selected countries Turkey 43.3% Mexico . 28.8% South Korea : 27.1% Japan 22.6% Australia 13.7% United Kingdom 12.3% United States 11.4% Brazil 10.7% France 8.7% Spain 5.9% Germany 5.6% Russia 10.2% * Latest available year @StatistaCharts Source: OECD statista Source: https://www.statista.com/chart/3236/employees-working-longer/ (2015 data)Health researchers are interested in determining if the there has been a reduction in the average number of hours worked per year between 2008 and 2017 in Latin America. They have gathered the following data from a sample of Latin American countries: ISO Country 2008 2017 ARG Argentina 1,781 1,695 BRA Brazil 1,785 1,739 CHL Chile 2,095 1,988 COL Colombia 2,081 1,992 CRI Costa Rica 2,398 2,212 ECU Ecuador 1,846 1,734 MEX Mexico 2,258 2,256 PER Peru 1,990 1,904 URY Uruguay 1,624 1,563 Source: The Conference Board Total Economy DatabaseTM (Adjusted version), May 2017Normal Q-Q Plot 200 200.00 150 O 150.00 Expected Normal Value 100 100.00 50 50.00 50 100 150 200 .00 Observed Value a) Using the data provided, estimate the difference in number of hours worked between the two target years. Use the 95% confidence level. b) Can you use the estimate you created in (a) to determine if there has been a reduction in the number of hours worked? Why?g) Create an estimate for the difference in the number of hours worked between 2008 and 2017 using the 90% level of signicance. Use your answer in (c) to determine if there is a difference in the number of hours worked is different in the two periods. Using the appropriate inferential method, answer the researchers\" question. Given your results in (e) should you calculate the effect size? Why? If yes, calculate the effect size and interpret your result Using the information provided, do you have any reason to be concerned about the validity of your results? Give reasons for your