I would like some assistance with the following probability distrution and inference for mean and population questions

From a sample of 100 senior citizens, it is found that 35% of them have underlying conditions. Estimate the upper limit for a 90% confidence interval. Select one: A - 0.6530 B - 0.6570 C- 0.4360 D- 0.4287The branch manager at the Jamaica Money Market Brokers {JMMB}, Haughton Terrace. Mrs. Dun McClean Would like to know the average commute of her staff. A sample of 20 employees travel an average of 30 minutes. To get a better idea of the average commute time she does a census, and the average is 50 minutes. Fiftvg.r represents a? Select one: A Census 3- Statistic (3 Parameter D Sample E- Population Nine hundred students registered for EconlOOD in the first semester of the 2021/2022 academic year. At the end of the semester, students were asked to complete a survey outlining the number of hours per week that were spent studying. Majorityr of the students studied between 3 to 5 hours per week. Six students did not study at all, and 9 students studied for more than 10 hours each week. What measures would be appropriate analyze this type of data? A Variance and Standard deviation 3 Interquartile range and standard deviation (2 Mean and standard deviation D Mean and Interquartile Range An insurance company.' checks records on 582 accidents selected at random and notes that teenagers were at the wheel in 91 of them. If the company:r wants to find the proportion of all car accidents that involve teenage drivers . which method would be most appropriate for this situation? A Sampling distribution for the mean 8- Confidence Interval (2 Sampling distribution for the proportion D Hypothesis testing A researcher would like to determine the average salary of residents in Manly Meadows Kingston. It is known that the distribution of salaries in this community is normal. Of a sample of 100 residents, the mean is found to be 85,000. If the standard deviation is known to be 13,000. Calculate the critical value, margin of error, and conclusion for a confidence interval at the 95% confidence Interval level. A 1.960, 2548.00. We are 95% confident that the population mean monthly salary in Manly Meadows lies between [82,452.00,87,548.00] I3 1.960, 1,300.00. We are 95% confident that the sample mean monthly salary in Manly Meadows lies between [83,700.00,86,300.00] C 1.645, 1,300.00. We are 95% confident that the population mean monthly salary in Manly Meadows lies between [83,700.00,86,300.00] 0-1.645, 213.85. We are 95% confident that the sample mean monthly salary in Manly Meadows lies between [84,?66.15,85,213.85] E-1.645, 1,300.00. We are 95% confident that the sample mean monthly salary in Manly Meadows lies between [84,670.00,35,130.00] F-1.960, 254.80. We are 95% confident that the sample mean monthly salary in Manly Meadows lies between [84,?45.20,85,254.60] 61.960, 130.00. We are 95% confident that the population mean monthly salary in Manly Meadows lies between [34,87'0.00,85,130.00] F1.645, 2158.50. We are 95% confident that the population mean monthly salary in Manly Meadows lies between [82,861.50,87,138.50]