Deep fungal infections include all except:

Which of the following is NOT a known risk factor for oral fungal infections?

A 67-year-old male presents with complaints of a burning sensation and white patches on his tongue and buccal mucosa that can be wiped off, revealing a red, raw surface underneath. He wears full upper and lower dentures and reports that he rarely removes them at night. Medical history includes type 2 diabetes mellitus and recent broad-spectrum antibiotic use for a respiratory infection. A swab of the lesion is sent for culture and microscopy. Which of the following is the MOST appropriate next step in managing this patient?

Deep fungal infections include all except:

Which of the following is NOT a known risk factor for oral fungal infections?

A 67-year-old male presents with complaints of a burning sensation and white patches on his tongue and buccal mucosa that can be wiped off, revealing a red, raw surface underneath. He wears full upper and lower dentures and reports that he rarely removes them at night. Medical history includes type 2 diabetes mellitus and recent broad-spectrum antibiotic use for a respiratory infection. A swab of the lesion is sent for culture and microscopy. Which of the following is the MOST appropriate next step in managing this patient?

Exam 3 Directions: Download the following pdf: Exam 3 When completed, click on the link below to upload your written work for this assessment.  You MUST upload a PDF document. All other document types will result in an automatic 0. You MUST submit your own original handwritten work. This can be digital using a tablet, iPad, or other device but MUST be in your own handwriting. You can write out your steps on a piece of paper, scan (using a phone app) or take a picture and convert it to PDF, then email the work to yourself to then upload. 

[Question A] Your manager has asked you to review the following writeup.  “We are looking at chemical yield data from the past four years over our assembly lines.  We’ve noted conditions of temperature, purity, and the source manufacturer.  We just happened to find these old production logs, and they were fantastic sources of data.  We’re seeing some distinct patterns in terms of temperature and purity effects on the yield, and it also looks like the source manufacturer makes a difference.  Our yield is currently about 65%, and we want to bump it up to 70%.  From the analyses we’ve run on this past data, it looks like temperature needs to be held at a certain level, and the purity of main ingredients cannot go below 92%.  Manufacturers A and B are fine, but C isn’t working.  I propose we put into effect immediately policies which will adjust temperature, purity, and source manufacturer to ensure quality yields.” In your opinion, based on what you have learned about statistical analysis in this class, what is your response?  Please write 1-2 paragraphs outlining whether you agree and what your rationale is.

[Question M] Question:  You work for a medical device company, and your product is battery packs for artificial hearts.  The heart will last almost indefinitely once implanted, but it needs the batteries charged in order to work.  The current battery pack is believed to have a mean of 240 minutes with a population standard deviation of 50 minutes.  Your company has developed a new battery pack which it hopes will last longer.  You take a sample of 8  of the new battery packs and test their life spans.  You find them to have a mean life of 270 minutes.  You want to run a statistical test to determine if the battery life has increased with the new technology.  State the null and alternative hypotheses, and any other assumptions you need to make. What is the p-value for your sample? Using the alpha = 0.05 level of significance, what is your conclusion?  In addition to stating “reject/do not reject the null hypothesis,” please put it in plain English.  What does your conclusion mean for the life of the new technology battery packs?

This continues to use the Problem I water quality data you downloaded. What is the sampling standard deviation for the ranks?  In other words, what is σW?