Hello, could you please reply / feedback on these two discussion, one fifty words. Thank you

Discussion 1

First of all, we have to understand what Confidence Interval is and how you can find confidence interval for mean when standard deviation is well known? definition of the confidence interval is showed the probability limitation will fall between a pair of merit around the mean. In simple words confidence interval measure the degree of unpredictable or validity in sample method. Now explanation for how to find confidence interval for mean and standard deviation? According to Charles Henry Brase, "Let x be a random variable appropriate to your exercise you can get a sample random sample of x values, which you figure the sample mean for x bar and the value for deviation you already have. If you accept x has a normal distribution, then any sample size n will work. If you cannot accept this, then you can use a sample size of greater than 30. As example: Analyst are using the word for Confidence Interval to show import diversify aspect such as "Never use of family planning before survey; Multiparty "perceived husband attitude as dissatisfaction" etc. on family planning targeted audience.

A study In India recommend that antibiotic can lead to develop childhood obesity when numerous time exposures to same disease. According to my research, "University of Auckland and Harvard University of medical antibiotic pass out to 5128 youngster and calculated their BMI, 95% get antibiotic by age of 4 years and 9% notice obesity by 4 years, so researcher found that BMI score for those children who took at least 4 prescription was higher than who did not exposure, and it showed that the number children took the prescribed meds, the risk of the obesity increase as well too. As contrast with no submission, youngster who took more than 9 antibiotics ordered had increased the risk of being obese. Arrange ratio: 2.41%; 95% confidence interval, Lower Bound:1.07 to Upper Bound:5.41; Margin of error found 2.17.

My second example will be: for Smoke; Is smoking an e-cigarette safe when done with cigarettes? According to American Journal of Preventive Medicine, "the individual has high risk of stroke if individual using an e-cigarette in co-existence with combustible cigarettes.

Suppose we get a sample of 161,259 member between age 18 to 44 years old and experiment on them regardless using e-cigarettes use and stroke. According to researcher report that odds number increased with stroke who were using e-cigarettes with combustible cigarettes compare to those who do not smoke (calibrate odds ratio 2.91; 95% confidence interval, 1.62 to 5.25%) and compare with present individual combustible cigarette use adjusted odds ratio; 1.83; 95% CI, 1.62 to 3.17.

Discussion 2

When it comes to the the amount of the population that smokes, confidence intervals are a very good way in detecting around how much of the population smokes.

For example, a survey was done in 2005 that estimated around how many adults smoked. The estimation of adults who smoked was about 20.7%. The confidence interval was 95%. The margin of error was about 1.1% ("Behavioral Risk Factor Survey Model", 2019). By using these numbers we can come up with the lower limit and the higher limit by:

lower: 20.7% - 1.1% = 19.6%

higher: 20.7% + 1.1% = 21.8%

This would indicate that we are 95% confident that the percentage of adult smokers is between 19.6% and 21.8%.

Another example would be surveys done by customers at a company. If a company surveyed its customers in regards to customer service skills then confidence interval would be a great way to determine the percentage of good ratings.

50% of the customers provided a good rating of "very good". The confidence level is at 95% with a margin of error of about 3% (Hunter, 2012). With this we can determine a lower limit and a higher limit by:

lower: 50% - 3% = 47%

higher: 50% + 3% = 53%

This would indicate that we are 95% confident that the amount of customers rating the company with a "very good" is between 47% and 53%.

Confidence intervals, once again, are a great way to indicate a mean and between what numbers the mean falls. Averages can lean from side to side so with the margin of error, estimations can be more precise. Surveys are typically done by using the confidence intervals due to their detailed nature.