Question

# 1.9% of mosquitos caught at random in any given field study carry malaria. If you conduct...

1.9% of mosquitos caught at random in any given field study carry malaria. If you conduct a study and capture 72 mosquitos, how many mosquitos infected with malaria would you expect to have in your mosquito-catching Mason jar out of all 72 mosquitos buzzing around? Round up to the nearest whole number if your calculation results in a number with decimal point values. For example, 0.2 rounds up to 1 and 74.25 rounds up to 75.

2. A research study examined the blood vitamin D levels of the entire US population of landscape gardeners. The population average level of vitamin D in US landscapers was found to be 42.85 ng/mL with a standard deviation of 4.034 ng/mL. Assuming the true distribution of blood vitamin D levels follows a Gaussian distribution, what is the upper value of the region for which approximately 68% of the data are located within the distribution? Recall the 68-95-99.9% observation discussed in the "Normal Distribution" section of the textbook that is helpful in answering the question.

We would be looking at the first question here:

Q1) We are given here that:
P( malaria ) = p = 0.09

n = 72 is the sample size here.

The number of mosquitoes we would expect to be infected with malaria that we would expect to have in our mosquito-catching Mason jar out of all 72 mosquitos buzzing around would be computed here as:

= np

= 72*0.09

= 6.48

Therefore 6.48 is the expected number of mosquitoes here.

Therefore 7 is the required rounded up +1 value here.