Anorexia Nervosa (AN) is a psychiatric condition leading to substantial weight loss among women who are fearful of becoming fat. Anarticle used whole-body magnetic resonance imagery to determine various tissue characteristics for both an AN sample of individualswho had undergone acute weight restoration and maintained their weight for a year and a comparable (at the outset of the study)control sample. Here is summary data on intermuscular adipose tissue (IAT; in kg).Condition Sample Size Sample Mean Sample SDAN160.520.26Control80.370.15Assume that both samples were selected from normal distributions. (a) Calculate an estimate for true average IAT under the described AN protocol, and do so in a way that conveys information aboutthe reliability and precision of the estimation. Do this by calculating a 99% CI for the true average IAT under the described ANprotocol. (Round your answers to two decimal places.)kg

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Description: Anorexia Nervosa (AN) is a psychiatric condition leading to substantial weight loss among women who are fearful of becoming fat. Anarticle used whole-body magnetic resonance imagery to determine various tissue characteristics for both an AN sample o

Anorexia Nervosa (AN) is a psychiatric condition leading to substantial weight loss among women who are fearful of becoming fat. An article used whole-body magnetic resonance imagery to determine various tissue characteristics for both an AN sample of individuals who had undergone acute weight restoration and maintained their weight for a year and a comparable (at the outset of the study) control sample, Here is summary data on inter-muscular adipose tissue (IAT; in kg). Condition Sample Size Sample Mean Sample SD AN 16 0.52 0.26 Control 8 0.37 0.15 We assume that both samples were selected from the normal distribution. We will calculate a 99% CI for the true average IAT under the described AN protocol.To find the confidence interval for mean of a normally distributed population, we use either the Z interval or t interval. If the population standard deviation is known then we use Z interval otherwise we use t interval. We assumed that the population is normal also standard deviation for this population is unknown. Hence, we use the t interval for constructing the confidence interval for µ. The formula for calculating the confidence interval for population mean using t interval is given by, Where t’ is the t-critical value, x is the sample mean and s is the sample standard deviation. The t-critical value can be found easily using a statistical table. To find the t-critical value, two things are required. Degrees of freedom (df) and confidence level. Confidence level = 99% or 0.99 (given), df = n-1 = 16-1 = 15. Note that, if we do not found the value "df" in the table then we consider "df" as the closest value of to "df". In the table, consider df =15 and confidence level (C) = 0.99 the corresponding value would be the required critical value. The t-critical value (t’) = 2.947 (From the table).The 99% confidence interval would be: The 99% CI for the true average IAT under the described AN protocol is, (0.33, 0.71) kg.

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Statistics

Calculate an estimate for true average IAT under the described AN protocol, and do so in a way that conveys information about the reliability and precision of the estimation. Do this by calculating a 99% CI for the true average IAT under the described AN protocol. (Round your answers to two decimal places.) |kg

Calculate an estimate for true average IAT under the described AN protocol, and do so in a way that conveys information about the reliability and precision of the estimation. Do this by calculating a 99% CI for the true average IAT under the described AN protocol. (Round your answers to two decimal places.) |kg

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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