I need help with 5, 6 and 7 plz. **Chi-Square Test Exercise****3. Did blood type A or blood type O contribute more to the test statistic?**- A. type A - B. type O**4. Calculate the test statistic.**\[ \chi^2 = \]**5. State the degrees of freedom for this test.**\[ df = \]**6. Calculate the p-value for this test.**\[ p = \]**7. Based on the above p-value, we have [dropdown menu with options:?] evidence against the null hypothesis.**- extremely strong - very strong - strong - some[Dropdown menu is present here to select the strength of evidence against the null hypothesis.]**Instructions:**- To generate the test statistic (\[ \chi^2 \]), use the formula:\[ \chi^2 = \sum \frac{(O_i - E_i)^2}{E_i} \] where $ O_i $ is the observed frequency and $ E_i $ is the expected frequency.- Degrees of freedom (\[ df \]) is calculated using:\[ df = (r - 1) (c - 1) \] where $ r $ is the number of rows and $ c $ is the number of columns in the contingency table.- To find the p-value, refer to the Chi-Square distribution table using your calculated \[ \chi^2 \] value and the corresponding degrees of freedom.[The guide "Help Entering Answers" is available for further assistance in entering responses.] ### Blood Type and COVID-19 SusceptibilityA group of researchers in Wuhan, China, investigated the relationship between contracting the novel coronavirus and patients' blood types. The population in Wuhan has a blood type distribution as shown in the table below. The researchers categorized 375 patients who had contracted coronavirus by blood type. **Instructions**: Round all calculated values in this problem to 4 decimal places.#### Blood Type Distribution and COVID-19 Patients| Blood Type | Population Percentage | COVID-19 Patients ||------------|-----------------------|-------------------|| Type A | 33% | 115 || Type B | 24% | 101 || Type AB | 9% | 41 || Type O | 34% | 118 || **Total** | **100%** | **375** |---#### 1. Enter the Expected Values for the Hypothesis TestCalculate the expected values based on the given population percentage for each blood type. Use the total number of COVID-19 patients (375) to determine these values.| Blood Type | Expected Value ||------------|----------------|| Type A | || Type B | || Type AB | || Type O | |---#### 2. Null and Alternative HypothesesThe researchers wonder if, in Wuhan, COVID-19 patients have a different distribution of blood types than the general population of Wuhan. Express this research question in terms of a null and alternative hypothesis.**Null Hypothesis ($ H_0 $)**:- The distribution of blood types of COVID-19 patients is **the same as** the population. Any observed difference **is** due to chance.**Alternative Hypothesis ($ H_A $)**:- The distribution of blood types of COVID-19 patients is **different from** the population. Any observed difference **is not** due to chance.This setup helps in determining if there is a significant association between blood type and the likelihood of contracting COVID-19 or if any differences are merely due to randomness.

Name: I need help with 5, 6 and 7 plz. **Chi-Square Test Exercise****3. Did
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Description: I need help with 5, 6 and 7 plz. **Chi-Square Test Exercise****3. Did blood type A or blood type O contribute more to the test statistic?**- A. type A - B. type O**4. Calculate the test statistic.**\[ \chi^2 = \]**5. State the degrees of freedom for

We want to find the chi square, df, and p value.

Math

Statistics

3. Did blood type A or blood type O contribute more to the test statistic? OA. type A оB. type O 4. Calculate the test statistic. x? = 5. State the degrees of freedom for this test. df = 6. Calculate the p-value for this test. p = 7. Based on the above p-value, we have v ? evidence against the null hypothesis. extremely strong very strong Help Entering Answers strong nomo

3. Did blood type A or blood type O contribute more to the test statistic? OA. type A оB. type O 4. Calculate the test statistic. x? = 5. State the degrees of freedom for this test. df = 6. Calculate the p-value for this test. p = 7. Based on the above p-value, we have v ? evidence against the null hypothesis. extremely strong very strong Help Entering Answers strong nomo

MATLAB: An Introduction with Applications

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Author:Amos Gilat

Publisher:Amos Gilat

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I need help with 5, 6 and 7 plz.

**Chi-Square Test Exercise**

**3. Did blood type A or blood type O contribute more to the test statistic?**
- A. type A
- B. type O

**4. Calculate the test statistic.**
\[ \chi^2 = \]

**5. State the degrees of freedom for this test.**
\[ df = \]

**6. Calculate the p-value for this test.**
\[ p = \]

**7. Based on the above p-value, we have [dropdown menu with options:?] evidence against the null hypothesis.**
- extremely strong
- very strong
- strong
- some

[Dropdown menu is present here to select the strength of evidence against the null hypothesis.]

**Instructions:**
- To generate the test statistic (\[ \chi^2 \]), use the formula:
\[ \chi^2 = \sum \frac{(O_i - E_i)^2}{E_i} \]
where $ O_i $ is the observed frequency and $ E_i $ is the expected frequency.
- Degrees of freedom (\[ df \]) is calculated using:
\[ df = (r - 1) (c - 1) \]
where $ r $ is the number of rows and $ c $ is the number of columns in the contingency table.
- To find the p-value, refer to the Chi-Square distribution table using your calculated \[ \chi^2 \] value and the corresponding degrees of freedom.

[The guide "Help Entering Answers" is available for further assistance in entering responses.]

### Blood Type and COVID-19 Susceptibility

A group of researchers in Wuhan, China, investigated the relationship between contracting the novel coronavirus and patients' blood types. The population in Wuhan has a blood type distribution as shown in the table below. The researchers categorized 375 patients who had contracted coronavirus by blood type.

**Instructions**: Round all calculated values in this problem to 4 decimal places.

#### Blood Type Distribution and COVID-19 Patients
| Blood Type | Population Percentage | COVID-19 Patients |
|------------|-----------------------|-------------------|
| Type A | 33% | 115 |
| Type B | 24% | 101 |
| Type AB | 9% | 41 |
| Type O | 34% | 118 |
| **Total** | **100%** | **375** |

---

#### 1. Enter the Expected Values for the Hypothesis Test

Calculate the expected values based on the given population percentage for each blood type. Use the total number of COVID-19 patients (375) to determine these values.

| Blood Type | Expected Value |
|------------|----------------|
| Type A | |
| Type B | |
| Type AB | |
| Type O | |

---

#### 2. Null and Alternative Hypotheses

The researchers wonder if, in Wuhan, COVID-19 patients have a different distribution of blood types than the general population of Wuhan. Express this research question in terms of a null and alternative hypothesis.

**Null Hypothesis ($ H_0 $)**:
- The distribution of blood types of COVID-19 patients is **the same as** the population. Any observed difference **is** due to chance.

**Alternative Hypothesis ($ H_A $)**:
- The distribution of blood types of COVID-19 patients is **different from** the population. Any observed difference **is not** due to chance.

This setup helps in determining if there is a significant association between blood type and the likelihood of contracting COVID-19 or if any differences are merely due to randomness.

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