write a statistical summary for participants' demographic and health detailes that include important variables such as albumin levels (g/dl), age, gender, and smoking status? 1 Patient ID2 A00013 A00024 A00035 A00046 A00057 A00068 A00079 A000810 A000911 A001012 A001113 A001214 A001315 A001416 A001517 A001618 A001719 A001820 A001921 A002022 A002123 A002224 A002325 A002426 A002527 A002628 A002729 A002830 A002931 A00303233Smoking status Age Albumin(g/dl)YESNONOYESNOYESNOYESNOYESNOYESYESNOYESINONOYESNOYESNOYESNOYESNOYESNOYESINOYES32283638293539403832362888EEEE83529264540393630228454039362830283638Gender BMI3.5 Male4 female4.2 female4.8 female3.8 Male4.3 Male4 Male4.5 female3.5 female2.8 Male5 Male3.4 female3 Male2.8 female4 Male2.5 female3 Male2.8 Male3 female4.5 Male5 female2.6 female4.5 Male2.5 female2.8 female4 Male2.8 female3 female4 female2.2 MaleExercise Systolic BP (mmHg)24.7 No29.6 No25.9 yes20.3 No22.5 Yes22.5 yes24.8 No23.5 Yes25.5 No21.5 No20.4 Yes23.5 No20.5 No25.5 Yes28.6 No29.9 No30 yes30.3 No28.9 Yes23.8 yes24.6 No38.5 No26.7 yes22.8 yes30.5 No26.8 yes25.6 No27.8 Yes24.6 yes38.5 No120128126110136118120116128126120118110110138140139140140118120138120116126110116129120138

It is given that a data table contains demographic information and health indicators for a group of…

Answered: write a statistical summary for…

write a statistical summary for participants' demographic and health detailes that include important variables such as albumin levels (g/dl), age, gender, and smoking status?

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

See similar textbooks

Similar questions

Why is Data literacy important when evaluating sources from a study?
News reports speak of an emerging crisis of childhood obesity in the United States. The National Health and Nutrition Examination Survey (NHANES) is a government survey run every several years recording a number of vital statistics on a random sample of Americans. A body mass index (BMI) is computed for each individual in the sample based on the individual's height and weight. Here are sample results for 8-year-old boys over the past 40 years. The table gives the sample size for 3 different surveys, the sample mean and sample standard deviation. Suppose we want to run an ANOVA to see if there is a difference in mean BMI for the three surveys. Assume each survey is a random sample and there are no extreme outliers.What is the sample standard deviations for each survey? ...the NHES II study? ...the NHANES II study? ...the NHANES study?
What is the TWO SOURCES OF VARIABILITY?
Consider the following data representing the price of plasma televisions (in dollars). 1260, 1355, 1156, 1297, 1054, 1225, 1375, 1244, 1281, 1138, 1368, 1075, 1373, 1126, 1067, 1285, 1119, 1209, 1150, 1208, 1284 Class 1034-1093 1094-1153 1154-1213 1214-1273 1274-1333 1334-1393 Frequency Price of Plasma Televisions (in Dollars) Class Boundaries Midpoint Relative Frequency Copy Data Cumulative Frequency Step 6 of 7: Calculate the relative frequency of the third class. Determine your answer as a simplified fraction.
"Fruit Juice May Be Fueling Pudgy Preschoolers, Study Says" is the title of an article that appeared in the San Luis Obispo Tribune. This article describes a study that found that for 3- and 4-year-olds, drinking something sweet once or twice a day doubled the risk of being seriously overweight one year later. The authors of the study state the following. Total energy may be a confounder if consumption of sweet drinks is a marker for other dietary factors associated with overweight.t Give an example of a dietary factor that might be one of the potentially confounding variables the study authors are worried about. O Children who drink sweet drinks have stricter parents who let them eat and drink whatever they want. Children who drink sweet drinks have more lenient parents who track their weight and focus on their health more. O Children who drink sweet drinks may also drink less each day than other kids. Children who drink sweet drinks may also eat a lot of sweet foods and high-calorie…
Tourism is extremely important to the economy of Florida. Hotel occupancy is an often-reported measure of visitor volume and visitor activity (Orlando Sentinel, May 19, 2018). Hotel occupancy data for February in two consecutive years are as follows. Current Year Previous Year Occupied Rooms 1,360 1,386 Total Rooms 1,700 1,800 a. Formulate the hypothesis test that can be used to determine whether there has been an increase in the proportion of rooms occupied over the one-year period. Let pi = population proportion of rooms occupied for current year Pa= population proportion of rooms occupied for previous year Ho : Pi - Pa H.: Pi - P2 Select your answer Select your answer b. What is the estimated proportion of hotel rooms occupied each year (to 2 decimals)? Current year Previous Year c. Conduct a hypothesis test. What is the p-value (to 4 decimals)? Use Table 1 from Appendix B. p-value - Using a 0.05 level of significance, what is your conclusion? We Select your answer- vthat there has…
Brunt, Rhee, and Zhong (2008) surveyed 557 undergraduate college students to examine their weight status, health behaviors, and diet. Using body mass index (BMI), they classified the students into four categories: underweight, healthy weight, overweight, and obese. They also measured dietary variety by counting the number of different foods each student ate from several food groups. Note that the researchers are not measuring the amount of food eaten, but rather the number of different foods eaten (variety, not quantity). Nonetheless, it was somewhat surprising that the results showed no differences among the four weight categories that were related to eating fatty and/or sugary snacks.Suppose a researcher conducting a follow up study obtains a sample of n = 25 students classified as healthy weight and a sample of n = 36 students classified as overweight. Each student completes the food variety questionnaire, and the healthy-weight group produces a mean of µ = 4.01 for the fatty,…
Could it be that smoking actually increases survival rates among women? The accompanying data represent the 20-year survival status and smoking status of 1334 women who participated in a 20-year cohort study. Complete parts (a) through (e).