how would you collect data with people in this time of pandemic?
Q: humans we consume food. The body extracts good things such as proteins and vitamins and throws away…
A: We have given that, The data set are, 5.94 5.79 4.21 6.59 4.59 3.33 5.27 3.27 Then, We will find…
Q: i 0123 SOL 4 5 6 7 8 9 10 11 12 er of intants (of 2500) who remain disease-free at the end of each…
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A: From the provided information, Sample size (n) = 46 Level of significance (α) = 0.05
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A: We have to find we can support claim or not.
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A: (a) Given that; n1=32, x¯1=13.2n2=33, x¯2=10σ1=4.2, σ2=2.6 We need to find a 95% confidence interval…
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A: Since you have asked multiple questions, we will solve the first question for you. If you want any…
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A: It is given that use the variables "Week 0", "Week 3", and "Week 6" in the data set.
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Q: As humans we consume food. The body extracts good things such as proteins and vitamins and throws…
A: The sample mean and standard deviation of the test results is,
Q: *4.38 What is the probability that an infant will have one or more episodes of otitis media by the…
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A: We have given that Sample size n1 = 400 , n2= 600 Favorable cases x1=132 , x2= 228…
how would you collect data with people in this time of pandemic?

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- Age and obesity are the two strongest risk factors for treatment resistant hypertension (TRH), prompting many doctors to predict that as our population ages and gets heavier, the incidence of this unhealthy condition will increase. Suppose you have a new drug that you think will reduce TRH. Seven patients who have been diagnosed with high blood pressure volunteer for your study. They have their diastolic pressure measured before they take the drug, and after the drug has been administered and has had time to have an effect. The table below shows the result of your study. Does your new drug reduce blood pressure? Use alpha =.05. Identify the Independent variable and the dependent variable in the study. State the Null hypothesis and the alternative hypotheses. Using APA format, report your findings using the variables in the study. Patient Before Drug After Drug 1…An aerosolized vaccine for measles was developed in Mexico and has been used on 44 million children since 1980. Aerosolized vaccines have the advantages of being able to be administered by people without clinical training and do not cause injection‐associated infections. The percentage of children developing an immune response to measles after receiving the subcutaneous injection of the vaccine is 95%,95%, and for those receiving the aerosolized vaccine, it is 85%85% . There are 2020 children to be vaccinated for measles using the aerosolized vaccine in a small rural village in India. We are going to count the number who developed an immune response to measles after the vaccination. What would be the probability that at least one child does not develop an immune response to measles if all children were vaccinated using the subcutaneous injection of the vaccine? (Enter your answer as a proportion rounded to four decimal places.)During a particularly dry growing season in a southern state, farmers noticed that there is a delicate balance between the number of seeds that are planted per square foot and the yield of the crop in pounds per square foot. The yields were the smallest when the number of seeds per square foot was either very small or very large. The data in the table show various numbers of seeds planted per square foot and yields (in pounds per square foot) for a sample of fields. A 2-column table with 15 rows. Column 1 is labeled number of seeds (per square foot) with entries 28, 75, 30, 43, 71, 35, 40, 59, 66, 79, 85, 81, 16, 33, 16. Column 2 is labeled yield (pounds per square foot) with entries 131, 171, 132, 166, 169, 150, 161, 183, 173, 161, 147, 157, 86, 145, 86. Which scatterplot represents the seed and yield data? A graph titled number of Seeds and Crop Yield has seeds (per square foot) on the x-axis, and yard (pounds per square foot) on the y-axis. The points curve up to a point, and…
- You work as a data scientist for a real estate company in a seaside resort town. Your boss has asked you to discover if it's possible to predict how much a home's distance from the water affects its selling price. You are going to collect a random sample of 7 recently sold homes in your town. You will note the distance each home is from the water (denoted by x, in km) and each home's selling price (denoted by y, in hundreds of thousands of dollars). You will also note the product x.y of the distance from the water and selling price for each home. (These products are written in the row labeled "xy"). (a) Click on "Take Sample" to see the results for your random sample. Distance from the water, .x (in km) Take Sample Selling price, y (in hundreds of thousands of dollars) xy Send data to calculator Based on the data from your sample, enter the indicated values in the column on the left below. Round decimal values to three decimal places. When you are done, select "Compute". (In the table…According to the CDC, cholesterol levels can be reduced by following a healthy diet, getting regular exercise, and reducing the amount of alcohol consumed on a weekly basis. One method of monitoring overall cholesterol levels is to calculate your cholesterol ratio (LDL/HDL), in general a cholesterol ratio between 3.5 and 5.0 is considered to be healthy for most adults. Suppose you are a clinical researcher testing the effects of these lifestyle changes on patient cholesterol levels. In order to determine if following these guidelines helps to reduce overall cholesterol, a total of 18 participants (N = 18) with moderate to high cholesterol ratios (i.e., 3.91 to > 5.0) were recruited for a healthy lifestyle study and their cholesterol ratio was calculated three times over a six week period: Week 0 (baseline), Week 3, and Week 6. Using the variables "Week 0", "Week 3", and "Week 6" in the data set, conduct a One-Way, Within Subjects (AKA Repeated Measures) ANOVA, at α = 0.05, to see….A new, miracle diabetes drug that diminishes major symptoms of diabetes has been approved by the FDA. Health care professionals and researchers believe that the new drug will prolong lifespan of diabetes patients. If the population is in steady state and the incidence is constant, what will the effect of this new drug be on the prevalence of diabetes in the population? Explain.
- According to the CDC, cholesterol levels can be reduced by following a healthy diet, getting regular exercise, and reducing the amount of alcohol consumed on a weekly basis. One method of monitoring overall cholesterol levels is to calculate your cholesterol ratio (LDL/HDL), in general a cholesterol ratio between 3.5 and 5.0 is considered to be healthy for most adults. Suppose you are a clinical researcher testing the effects of these lifestyle changes on patient cholesterol levels. In order to determine if following these guidelines helps to reduce overall cholesterol, a total of 18 participants (N = 18) with moderate to high cholesterol ratios (i.e., 3.91 to > 5.0) were recruited for a healthy lifestyle study and their cholesterol ratio was calculated three times over a six week period: Week 0 (baseline), Week 3, and Week 6. Using the variables "Week 0", "Week 3", and "Week 6" in the data set, conduct a One-Way, Within Subjects (AKA Repeated Measures) ANOVA, at α = 0.05, to see…The bacterium Staphylococcus aureus is commonly found on the skin and rarely causes major problems. If it gets under the skin or into the lungs it can cause boils or pneumonia. If the strain of bacterium causing these problems is resistant to methicillin, the infections can be life threatening. Methicillin resistant Staphy- lococcus aureus or MRSA is, therefore, a major concern in hospitals and clinics. Given the death rate from MRSA lung infections is 20%, if 20 patients are admitted in the hospital find the following probabilities: (a) Less than 3 die (b) At least 3 die. (c) Between 6 and 3 die.) 7. Let A = {1,2,3,4}×{1,2,3,4}. Define an equivalence relation - by (x1,x2) ~ (X3,x4) iff x1x2 = xx4. List the elements of the equivalence class [(2,2)].
- Could you please highlight the correct answer. and explain itYou are supervising a clinical trial of a medicine that appears to have a serious side effect in about 5 % of patients. To determine the magnitude of the side effect to within 1 %, e.g. 5 +/- 1 %, how big does the clinical trial have to be? Show your work/how you figure it out.Step 1 A major health study indicated that there's a birth month effect for schizophrenia. If a child is born during a certain month, he or she has a significantly higher chance of developing schizophrenia later in life, however, the chance of developing schizophrenia only increases by 1 in 10 million. Step 2 Based on what you know about t-tests, how can there be a significant difference for that particular month when there's such a small increase in the chances of developing schizophrenia?











