Skin tags are small, soft growths that can develop in creases of the skin, such as an eyelid. Suppose a doctor wishes to test the effectiveness of tea tree oil at preventing skin tags. The table summarizes the results of an experiment on 100 individuals.| | 60% tea tree extract | 30% tea tree extract | Placebo | Total ||---------------------|----------------------|----------------------|---------|-------|| **Skin tag** | 11 | 16 | 17 | 44 || **No skin tag** | 24 | 19 | 13 | 56 || **Total** | 35 | 35 | 30 | 100 |Determine which Venn diagrams accurately represent the information from the table.### Description of Venn Diagrams:1. **First Diagram (Top)**: - Three intersecting circles titled "60% extract," "30% extract," and "Placebo." - Overlapping areas show: - 11 in all three categories. - Specific intersections and non-overlapping areas for each category are labeled with numbers, summing to match the table totals.2. **Second Diagram (Middle)**: - Three intersecting circles titled "30% extract," "Placebo," and "60% extract." - Overlapping areas show: - 16 between "30% extract" and "Placebo." - 11 between "60% extract" and "30% extract." - 30 for "Placebo" only, and other numbers representing group intersections.3. **Third Diagram (Bottom)**: - Three intersecting circles titled "30% extract," "Placebo," and "60% extract." - Overlapping areas show: - 13 between "Placebo" and "30% extract." - 19 between "30% extract" and "60% extract." - Non-overlapping numbers indicated for each group, adding up to their respective totals.Each diagram attempts to represent the distribution of individuals with and without skin tags across different treatments based on the table data.

Given 60% tea tree extract 30% tea tree extract Placebo Total Skin tag 11 16 17 44 No skin…

Answered: Skin tags are small, soft growths 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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3.A study of the effect of smoking on sleep patterns was carried out. The observedtime required to fail asieep in minutes. These data were obtained: measure of Smokers :69.3,56.0,22.1,47.6,53.2,48.1,52.7,34.4,60.2 ,43.8,23.2.13.8 Non-smoker:28.6,25.1,26.4,34.9,29.8,28.4,38.5,30.2,30.6,31.8,41.6,21.1,36.0,37,13.9. a. Find the sample mean for each group. b. Determine the standard deviation of the sample for each group. c. Give your comments about the comparison of the mean and standard deviation of the tw groups above. d. If the statistical inferential stage is ignored, what conclusions can be drawn from the above study?
The state of California is working very hard to ensure that all elementary age students whose native language is not English become proficient in English by the sixth grade. Their progress is monitored each year using the California English Language Development test. The results for two school districts in southern California for the 2003 school year are given in the accompanying table.7 Do the data indicate a significant difference in the 2003 proportions of students who are fluent in English for the two districts? Use α = .01.
Evans conducted a study to determine if the frequency and characteristics of pediatric problems in elderly patients with diabetes present differences with respect to patients of the same age, but without diabetes. The individuals studied, interned in a clinic, were between 70 and 90 years old. Among the researchers' findings are the following statistics. with respect to the scores on the deep tendon reflexes meters:Sample without Diabetes: 79 / 2.1 / 1.1With Diabetes: 74 / 1.6 / 1.2Is it possible to conclude, based on the data, that, on average, diabetic patients they have reduced deep tendon reflexes in comparison with patients without diabetes of the same age?
A paper investigated the driving behavior of teenagers by observing their vehicles as they left a high school parking lot and then again at a site 1 approximately mile from the school. Assume that it is reasonable to regard the teen drivers in this study as representative of the population of teen 2 drivers. Female Driver -0.3 0.6 1.1 0.7 1.1 1.2 0.1 0.9 0.5 0.5 (a) Use a .01 level of significance for any hypothesis tests. Data consistent with summary quantities appearing in the paper are given in the table. The measurements represent the difference between the observed vehicle speed and the posted speed limit (in miles per hour) for a sample of male teenage drivers and a sample of female teenage drivers. (Use males Mfemales Round your test statistic to two decimal places. Round your degrees of freedom down to the nearest whole number. Round your p-value to three decimal places.) t = df = P= Amount by Which Speed Limit Was Exceeded Yes (b) Do these data provide convincing support for…
The following is data about the hemoglobin concentrations of volunteers collected at sea level and at an altitude of 11000 feet. sea level concentrations = [14.70 , 15.22, 15.28, 16.58, 15.10 , 15.66, 15.91, 14.41, 14.73, 15.09, 15.62, 14.92]11000 feet concentrations = [14.81, 15.68, 15.57, 16.59, 15.21, 15.69, 16.16, 14.68, 15.09, 15.30 , 16.15, 14.76] There are two alternative scenarios about the way the data were obtained. In scenario 1, there are 12 volunteers who lived for a month at sea level, at which time blood was drawn and the data in "sea level concentrations" dataset were obtained. Subsequently, all 12 volunteers were moved to 11000 ft and after a month the data in the "11000 feet concentrations" dataset obtained. There is a one to one correspondence between the numbers in the two datasets, that is the first numbers correspond to volunteer1, the second numbers to volunteer2 etc. In scenario 2, the "sea level concentrations" dataset is a random sample obtained from 12…
Miss America winners from the 1920's and 1930's had a average BMI of 19.4. A sample of recent winners had reported BMIs of 18.7, 18.7, 18.5, 19.2, 19.3, 18.7, 18.6, 19.8, 19, 19.6, and 19 . Do recent winners appear to be significantly different from those in the 1920s and 1930s? (assume normality). Show all the steps of a hypothesis.
Do larger universities tend to have more property crime? University crime statistics are affected by a variety of factors. The surrounding community, accessibility given to outside visitors, and many other factors influence crime rate. Let x be a variable that represents student enrollment (in thousands) on a university campus, and let y be a variable that represents the number of burglaries in a year on the university campus. A random sample of n = 8 universities in California gave the following information about enrollments and annual burglary incidents.
The data in Table 7..7 are collected in an experiment designed to investigate the impact of different positions of the mother during ultrasound on fetal heart rate. Fetal heart rate is measured by ultrasound in beats per minute. The study includes 20 women who are each assigned to one position and have the fetal heart rate measured in that position. Each woman is between 28 weeks, and 32 weeks, gestation. Is there a significant difference in mean fetal heart rates by position? Run the test at a 5% level of significance. PLEASE SHOW THE ANSWER IN EXCEL FORMAT WITH FORMULAS.
3. A researcher was interested in the effects of a drug on depression. Subjects were randomly assigned to one of the three groups. Subjects in the control group received a placebo and the subjects in the two treatment groups received either a 0.2 mg or a 0.4 mg dosage of the drug. After several weeks of drug (or placebo) treatment, the researcher measured the subjects' level of depression (a low score indicating greater depression) The following data were obtained. Placebo 0.2 mg 0.4 mg 12 11 12 10 9. 14 11 11 17 13 13 16 15 7 16 12 Mean of X = 10 14 12 S^2 = 5.6 8.4 Using 5% of significance, test the hypothesis that the three groups differ in their effectiveness.
1. Birds can regrow feathers if they are lost. A researcher was interested in whether newly regrown feathers in the tails of northern flickers differed in colour (yellowness in particular) compared to older feathers. To test this, they measured the yellowness of one new and one randomly selected old feather on each of 20 birds. A plot of their data and the results of their analysis are shown below. Yellowness 160 150 140 130 new X Feather old Welch Two Sample t-test = data: Yellowness by Feather t = 1.5832, df 37.986, p-value 165 sample estimates: mean in group new mean in group old 147.9623 143.3000 160 New 155 150 145 140 135 = 0.1217 alternative hypothesis: true difference in means is not equal to 0 95 percent confidence interval: -1.299296 10.623962 T T T T T 130 135 140 145 150 155 160 Old a) From the results above, what is the null hypothesis and what statistical conclusion do you make concerning it?
Is gender independent of education level ? A random sample of 395 people were surveyed and each person was asked to report the highest education level they obtained .The data that resulted from the survey is summarized in the following table: High School Bachelors Masters PhD. Female 60 54 46 41 Male 40 44 53 57 Question: Are gender and education level dependent at 5percent level of significance ? In other words given the data collected above is there a relationship between the gender of an individual and the level of education that they have obtained ?
A study of emergency service facilities investigated the relationship between the number of facilities and the average distance traveled to provide the emergency service. The following table gives the data collected.

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