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In this assignment, I would like you to compute the chi-square goodness of fit test for an observed data set, using two different MOIS. A critically important point in our work is that MOI just means the proportions that correspond to the different phenotypes. For this exercise, the two MOIS are Autosomal Dominant (AD) and Sex Linked Recessive (SLR). The data in the table below is the counts of F2 offspring from an F1 cross. We use the following notation for the alleles at the gene of interest: Notation: D= disease allele at gene d = wild-type allele at gene Let's provide some information about each MOI. AD: Each of the Fı parents is heterozygous for the D allele. SLR: The observed F2 data are the offspring from an F1 cross where the father is affected (disease) and the mother is an unaffected carrier (wild-type, or WT). That is, the mother's genotype has one disease allele and one WT allele in it. s one In Table 1, I provide the observed data counts (in dark blue). Notice that I stratify by gender. Table 1. (O-E)² (O-E)’/E Phenotype Disease, Male Disease, Female WT, Male WT, Female Total E О-Е 304 267 285 301 1157 DF p-value

In this assignment, I would like you to compute the chi-square goodness of fit test for an observed data set, using two different MOIS. A critically important point in our work is that MOI just means the proportions that correspond to the different phenotypes. For this exercise, the two MOIS are Autosomal Dominant (AD) and Sex Linked Recessive (SLR). The data in the table below is the counts of F2 offspring from an F1 cross. We use the following notation for the alleles at the gene of interest: Notation: D= disease allele at gene d = wild-type allele at gene Let's provide some information about each MOI. AD: Each of the Fı parents is heterozygous for the D allele. SLR: The observed F2 data are the offspring from an F1 cross where the father is affected (disease) and the mother is an unaffected carrier (wild-type, or WT). That is, the mother's genotype has one disease allele and one WT allele in it. s one In Table 1, I provide the observed data counts (in dark blue). Notice that I stratify by gender. Table 1. (O-E)² (O-E)’/E Phenotype Disease, Male Disease, Female WT, Male WT, Female Total E О-Е 304 267 285 301 1157 DF p-value

MATLAB: An Introduction with Applications
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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In this assignment, I would like you to compute the chi-square goodness of fit test for an observed data set, using two different MOIS. A critically important point in our work is that MOI just means the proportions that correspond to the different phenotypes. For this exercise, the two MOIS are Autosomal Dominant (AD) and Sex Linked Recessive (SLR). The data in the table below is the counts of F2 offspring from an F1 cross. We use the following notation for the alleles at the gene of interest: Notation: D= disease allele at gene d = wild-type allele at gene %3D Let's provide some information about each MOI. AD: Each of the Fi parents is heterozygous for the D allele. SLR: The observed F2 data are the offspring from an F1 cross where the father is affected (disease) and the mother is an unaffected carrier (wild-type, or WT). That is, the mother's genotype has one disease allele and one WT allele in it. In Table 1, I provide the observed data counts (in dark blue). Notice that I stratify by gender. Table 1. (0-E)² (0-E)?/E Phenotype Disease, Male Disease, Female WT, Male WT, Female Total E O-E 304 267 285 301 1157 DF p-value
Transcribed Image Text:In this assignment, I would like you to compute the chi-square goodness of fit test for an observed data set, using two different MOIS. A critically important point in our work is that MOI just means the proportions that correspond to the different phenotypes. For this exercise, the two MOIS are Autosomal Dominant (AD) and Sex Linked Recessive (SLR). The data in the table below is the counts of F2 offspring from an F1 cross. We use the following notation for the alleles at the gene of interest: Notation: D= disease allele at gene d = wild-type allele at gene %3D Let's provide some information about each MOI. AD: Each of the Fi parents is heterozygous for the D allele. SLR: The observed F2 data are the offspring from an F1 cross where the father is affected (disease) and the mother is an unaffected carrier (wild-type, or WT). That is, the mother's genotype has one disease allele and one WT allele in it. In Table 1, I provide the observed data counts (in dark blue). Notice that I stratify by gender. Table 1. (0-E)² (0-E)?/E Phenotype Disease, Male Disease, Female WT, Male WT, Female Total E O-E 304 267 285 301 1157 DF p-value
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