One of the key clinical variables that is monitored among individuals infected withCOVID-19 is % oxygen saturation. Suppose we collected the following data fromCOVID-19 patients. Use this information to answer the the question below.Patient% Oxygen Saturation12345677891011121314451516189217209586968099928190888886928681898089888090What is the standard deviation for % oxygen saturation among these patients?(using the normal rules for rounding, please round to one decimal point)12.35.59.624.930.1

given data is patient%oxygen…

Answered: One of the key clinical variables that…

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

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Question 9 You are reviewing the nutrition values of different snack bars for health class. A summary of calculations for the 10 snack bars is shown below. Mean: 133 Median:140 Range: 125 IQR: 60 A new kind of snack bar was just advertised. You decide to in- clude the information for the new snack bar to your data set. Below is the new summary for the nutrition data of all 11 snack bars:
Suppose we are interested in comparing the proportion of male students who smoke to the proportion of female students who smoke. We have a random sample of 150 students (60 males and 90 females) that includes two variables: Smoke = "yes" or "no" and Gender = "female (F)" or "male (M)". The two-way table below summarizes the results. Smoke = Yes Smoke = No Sample Size 60 90 Gender = M Gender = F Reference: 3-15-No Tech 9 9 51 81 Describe how to use the data to construct a bootstrap distribution. What value should be recorded for each of the bootstrap samples.
QUESTION 4 A steel manufacturing company wishes to compare the strength of the wires produced by an existing and a new process. The manufacturer will use the existing process unless the inerease in the mean strength in the new process is significant The following data represents the strength of the steel wires made by the two processes: Process Strength of steel wires (megapascal, MPa) 1334 1330 13 10 1340 Existing 1365 1286 1320 1333 1300 1350 New 1300 1310 1340 1342 1390 1340 1350 Assuming that the strengths of the steel wire using the existing and new process are approximately normal a) Is there evidence that the steel manufacturing company should use the existing process to make the steel wires. Use the probability of Type I error at 0 01. Assume that the standard deviation does not change.
Mr. Acosta, a sociologist, is doing a study to see if there is a relationship between the age of a young adult (18 to 35 years old) and the type of movie preferred. A random sample of 93 adults revealed the following data. Test whether age and type of movie preferred are independent at the 0.05 level. Person's Age Movie 18-23 yr 24-29 yr 30-35 yr Row Total Drama 8 16 10 34 Science Fiction 10 8 12 30 Comedy 11 8 10 29 Column Total 29 32 32 93 (a) What is the level of significance?State the null and alternate hypotheses. H0: Age and movie preference are not independent.H1: Age and movie preference are independent.H0: Age and movie preference are independent.H1: Age and movie preference are independent. H0: Age and movie preference are not independent.H1: Age and movie preference are not independent.H0: Age and movie preference are independent.H1: Age and movie preference are not independent. (b) Find the value of the chi-square statistic for the sample. (Round…
Businesses know that customers often respond to background music. Do they also respond to odors? One study of this question took place in a small pizza restaurant in France on two Saturday evenings in May. On one of these evenings, a relaxing lavender odor was spread through the restaurant. On the other evening no scent was used. The data gives the time, in minutes, that two samples of 30 customers spent in the restaurant and the amount they spent in euros. No odor Lavender Minutes Euros spent Minutes Euros spent 103103 15.915.9 9292 21.921.9 6868 18.518.5 126126 18.518.5 7979 15.915.9 114114 22.322.3 106106 18.518.5 106106 21.921.9 7272 18.518.5 8989 18.518.5 121121 21.921.9 137137 24.924.9 9292 15.915.9 9393 18.518.5 8484 15.915.9 7676 22.522.5 7272 15.915.9 9898 21.521.5 9292 15.915.9 108108 21.921.9 8585 15.915.9 124124 21.521.5 6969 18.518.5 105105 18.518.5 7373 18.518.5 129129 25.525.5 8787 18.518.5 103103 18.518.5 109109 20.520.5 107107…
The trend of thinner beauty pageant winners has generated charges that the contest encourages unhealthy diet habits among young women. Listed below are body mass indexes (BMI) for beauty pageant winners from two different time periods. Find the coefficient of variation for each of the two sets of data, then compare the variation. The coefficient of variation for the BMI's of beauty pageant winners from the 1920s and 1930s is %
For each of the following epidemiological scenarios, draw a DAG that represents the relationships between the variables: A researcher is studying the association between experiencing childhood abuse (A) and the occurrence of depression (D) as an adult. She has reason to believe that alcohol consumption (C) may mediate the relationship between (A) and (D).
Mr. Acosta, a sociologist, is doing a study to see if there is a relationship between the age of a young adult (18 to 35 years old) and the type of movie preferred. A random sample of 93 adults revealed the following data. Test whether age and type of movie preferred are independent at the 0.05 level. Person's Age Movie 18-23 yr 24-29 yr 30-35 yr Row Total Drama 7 13 14 34 Science Fiction 11 11 8 30 Comedy 8 10 11 29 Column Total 26 34 33 93 (A) Find the value of the chi-square statistic for the sample. (Round the expected frequencies to at least three decimal places. Round the test statistic to three decimal places.)
A marketing firm is doing research for an Internet-based company. It wants to appeal to the age group of people who spend the most money online. The company wants to know if there is a difference in the mean amount of money people spend per month on Internet purchases depending on their age bracket. The marketing firm looked at two age groups, 1818-2424 years and 2525-3030 years, and collected the data shown in the following table. Let Population 1 be the amount of money spent per month on Internet purchases by people in the 1818-2424 age bracket and Population 2 be the amount of money spent per month on Internet purchases by people in the 2525-3030 age bracket. Assume that the population variances are not the same. Internet Spending per Month 1818-2424 Years 2525-3030 Years Mean Amount Spent 62.4962.49 62.8462.84 Standard Deviation 20.0420.04 15.6415.64 Sample Size 1616 2828 Step 1 of 2 : Construct a 95%95% confidence interval for the true difference…
Suppose you read a research article that reported the results of a chi square analysis examining the relationship between treatment success (attributes = “yes” or “no”) and history of substance abuse (attributes = “yes” or “no”). The article included the following results in the note on the contingency table: X2 = 3.376, df = 1, p = .015. Which of the following are accurate interpretations of these results? (SELECT TWO CORRECT ANSWERS) Group of answer choices The association between treatment success and history of substance use is NOT statistically significant We can reject the null hypothesis The association between treatment success and history of substance use is statistically significant We can accept the null hypothesis
Question 2 A researcher was interested in studying if there is a significant relationship between the severity of COVID 19 and blood types of individuals. 2400 individuals were studied and the results are shown below. Condition Blood Type Blood Type Blood Type Blood Type Blood Type O A B AB Total Critical 64.00 44 20 8 136 Severe 175.00 129 50 15 369 Moderate 211.00 528 151 125 1015 Mild 200.00 400 140 140 880 Total 650.00 1101 361 288 2400 State both the null and alternative hypotheses. Provide the decision rule for making this decision. Use an alpha level of 5%.

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