The standard deviation of the lengths of hospital stay on the intervention ward is 7.3 days. Complete parts (a) through (c) below.a. For the variable "length of hospital stay," determine the sampling distribution of the sample mean for samples of 98 patients.The sampling distribution will be approximately normal with mean μ and standard deviation o days.(Round to four decimal places as needed.)b. The distribution of the length of hospital stay is right skewed. Does this invalidate your result in part (a)? Explain your answer.OA. Yes, because the sample sizes are not sufficiently large that x will be approximately normally distributed, regardless of thedistribution of v The standard deviation of the lengths of hospital stay on the intervention ward is 7.3 days. Complete parts (a) through (c) below.b. The distribution of the length of hospital stay is right skewed. Does this invalidate your result in part (a)? Explain your answer.OA. Yes, because the sample sizes are not sufficiently large that x will be approximately normally distributed, regardless of thedistribution of x.OB. Yes, because x is only normally distributed if x is normally distributed.OC. No, because if x is normally distributed, then x must be normally distributed.OD. No, because the sample size is sufficiently large so that x will be approximately normally distributed, regardless of the distribution of

The standard deviation of the lengths of hospital stay daysThe sample size patients.

Answered: on of the lengths of hospital stay on…

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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I was told you guys can answer subparts heres the rest thank you so much In a 1-Factor analysis of variance (ANOVA) for independent samples, three samples are randomly drawn from a population of hyperactive children. Children in each sample are treated at different drug dosage levels. During treatment, hyperactive behavior is observed. The average frequency of hyperactive behavior is calculated for each sample and sample means are compared. G)if F obs is more extreme in its departure from zero than Fcritical, then which of the following two decisions about the null hypothesis (H a ) is appropriate? a. reject b . fail to reject H) if the null hypothesis is rejected based on the single probability of occurrence of F obs (p<.05) , an alternative hypothesis can be considered stating that there is an a. inequality of sample means ( mu 1 ne mu 2 ne mu 3 ) b. equality of sample means ( mu 1 = mu 2 = mu 3 )
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Table 2 on page 603 is based on paired-samples t tests, a technique that we do not cover in this course. However, based on the p-values listed in the second to last column of the table, state three measures that showed a statistically significant change over 24 months for mothers and children in the MST-BSF group. Indicate whether the change was an increase or a decrease, and whether the change was in the mother or the child.?
Please read the following question carefully and type the solution down accordingly. 1. X₁, X₂, X3, X₁ is the sample from x that has the normal distribution N(0,4) and a(X₁-2X₂2)² +b(3X₂-4X₂)² has a x² (n), Find the values of a, b and n. distrbituion
Kindly provide answer in typed form not in handwritten. Help is much appreciated.
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Find x °x and Ps for all possible samples of 187 values taken from a Normally distributed population with u = 66.34 and o = 44.02 What is the mean of the population consisting of all possible sample means? %3D What is the standard deviation of the population consisting of all possible sample means? What is the variance of the population consisting of all possible sample means? %3D What is the mean of the population consisting of all possible sample variances? %3D (Round to 4 decimal places as needed) Vi (1,1) More Clear all Ask my instructor
You take a simple random sample of size 25 from a very large population in which the true proportioni p=0.1. Which statement below best describes what you know about the sampling distribution of p? (0.1)(0.9) (a) H,-0.1; o,- the distribution is skewed right. 25 (0.1)(0.9). 25 (b) H,=0.1; o,=. ; the distribution is skewed left. (0.1)(0.9). (c) ,=0.1; o,= the distribution is approximately Normal. %3D 25 (0.1)(0.9) (d) , the distribution is not approximately Normal. 25 =0.1; we cannot use the formula o, (0.1)(0.9) ; the distribution is approximately Normal. 25 (e) =0.1; we cannot use the formula o,
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