problem attached. please help me with the full solutions, and matrixes in beginning. **Check the assumptions:**1. **Enter the matrix of expected values.** - Round values to 2 decimal places: (Table with 3 rows and 3 columns for data input)2. **Are all of the values in the matrix of expected values greater than or equal to 5?** - Option to select "Yes" or "No."3. **If no N is given, we will assume N = [Dropdown List]** - Input field for entering a value.**Name the test**- The conditions are met to use a [Dropdown List: Chi-Square Independence Test].**Test Statistic**- The formula set up of the first and last term of the test statistic is as follows:\[X^2 = \sum \left(\frac{(O - E)^2}{E}\right) = [Input Field] \div 2 / [Input Field] + \cdots + [Input Field] \div 2 /\]- Inputs to round initial values to 2 decimal places.- **Final answer from technology rounded to 2 decimal places:** \[ X^2 = [Input Field] \] To explore the relationship between autism and infant feeding, a study was conducted in which a sample of mothers reported what they fed their infants. Additionally, data was collected on whether or not the child was autistic. The data is presented in the table below. The question posed is whether the type of feeding and autism are dependent variables. A test at the 5% significance level was performed to investigate this.| What an Infant is Fed | Yes | No | Row Total ||--------------------------------|-----|-----|-----------|| Breastmilk | 6 | 421 | 427 || Formula with DHA/ARA | 6 | 1156| 1162 || Formula without DHA/ARA | 15 | 527 | 542 || Column Total | 27 | 2104| 2131 |- **Yes**: Represents the number of autistic cases reported.- **No**: Represents the number of non-autistic cases reported.- **Row Total**: Summation of autistic and non-autistic cases per feeding category.- **Column Total**: Total number of cases for autistic and non-autistic categories.This table serves as a basis for determining if there is a statistical dependency between infant feeding types and autism diagnosis.

Null Hypothesis H0 Infant is fed and autism is independent Alternative Hypothesis Ha…

Check the assumptions: 1. Enter the matrix of expected values. Round values to 2 decimal places: o Are all of the values in the matrix of expected values greater than or equal to 5? Yes 2. No N is given, we will assume N| N: Name the test The conditions are met to use a Chi-Square Independence Test T: Test Statistic The formula set up of the first and last term of the test statistic is as follows: Round initial values to 2 decimal places: (0- E) E x? - E 2/ Final answer from technology rounded to 2 decimal places: 2.

Check the assumptions: 1. Enter the matrix of expected values. Round values to 2 decimal places: o Are all of the values in the matrix of expected values greater than or equal to 5? Yes 2. No N is given, we will assume N| N: Name the test The conditions are met to use a Chi-Square Independence Test T: Test Statistic The formula set up of the first and last term of the test statistic is as follows: Round initial values to 2 decimal places: (0- E) E x? - E 2/ Final answer from technology rounded to 2 decimal places: 2.

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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Concept explainers

Matrices

‘Matrices’ is the plural form of the word matrix, and it is basically a spreadsheet in the form of a box. In mathematics, various functions can be carried out with matrices. Generally, a matrix comes in the shape of a square or rectangle. The elements are distributed horizontally in the form of rows, and vertically in the form of columns.

Question

problem attached. please help me with the full solutions, and matrixes in beginning.

**Check the assumptions:**

1. **Enter the matrix of expected values.**
- Round values to 2 decimal places:

(Table with 3 rows and 3 columns for data input)

2. **Are all of the values in the matrix of expected values greater than or equal to 5?**
- Option to select "Yes" or "No."

3. **If no N is given, we will assume N = [Dropdown List]**
- Input field for entering a value.

**Name the test**

- The conditions are met to use a [Dropdown List: Chi-Square Independence Test].

**Test Statistic**

- The formula set up of the first and last term of the test statistic is as follows:

\[
X^2 = \sum \left(\frac{(O - E)^2}{E}\right) = [Input Field] \div 2 / [Input Field] + \cdots + [Input Field] \div 2 /
\]

- Inputs to round initial values to 2 decimal places.

- **Final answer from technology rounded to 2 decimal places:**

\[
X^2 = [Input Field]
\]

To explore the relationship between autism and infant feeding, a study was conducted in which a sample of mothers reported what they fed their infants. Additionally, data was collected on whether or not the child was autistic. The data is presented in the table below. The question posed is whether the type of feeding and autism are dependent variables. A test at the 5% significance level was performed to investigate this.

| What an Infant is Fed | Yes | No | Row Total |
|--------------------------------|-----|-----|-----------|
| Breastmilk | 6 | 421 | 427 |
| Formula with DHA/ARA | 6 | 1156| 1162 |
| Formula without DHA/ARA | 15 | 527 | 542 |
| Column Total | 27 | 2104| 2131 |

- **Yes**: Represents the number of autistic cases reported.
- **No**: Represents the number of non-autistic cases reported.
- **Row Total**: Summation of autistic and non-autistic cases per feeding category.
- **Column Total**: Total number of cases for autistic and non-autistic categories.

This table serves as a basis for determining if there is a statistical dependency between infant feeding types and autism diagnosis.

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