### Distribution of AIDS Cases in Santa Clara CountyThe number of AIDS cases reported for Santa Clara County, California is broken down by race in the table below. **Source:** "HIV/AIDS Epidemiology Santa Clara County," Santa Clara County Public Health Department, May 2011.| Race | Cases ||---------------------------|-------|| White | 2267 || Hispanic | 1182 || Black | 464 || Asian/Pacific Islander | 227 || **Total** | **4140** |---**Directions:** Conduct a chi-square test for goodness-of-fit to determine whether or not the occurrence of AIDS cases is consistent with the race distribution of Santa Clara County.1. **Choose the correct null and alternative hypotheses.** - \( H_0 \): The distribution of AIDS cases is different from the race distribution in Santa Clara County. - \( H_a \): The distribution of AIDS cases is consistent with the race distribution in Santa Clara County. - \( H_0 \): The distribution of AIDS cases is consistent with the race distribution in Santa Clara County. - \( H_a \): The distribution of AIDS cases is different from the race distribution in Santa Clara County.2. **Compute the test statistic.** The population distribution of Santa Clara County by race is provided in the table below. Use these percentages to compute the expected number of cases for each racial group. Round each of the expected counts to 2 decimal places. | Race | Proportion | Expected cases | |--------------------------|------------|----------------| | White | 0.455 | | | Hispanic | 0.252 | | | Black | 0.025 | | | Asian/Pacific Islander | 0.268 | | | **Total** | **1** | |### Instructions for Analysis:- Use the given proportions to calculate the expected cases for each racial group.- Fill in the "Expected cases" column by multiplying the total number of cases (4140) by each race's proportion.- Compare the observed and expected cases to conduct the chi-square test.This data provides insight into the distribution of AIDS cases across different racial groups in Santa Clara County, which can be critical for public health planning and interventions. ### Chi-Square Test for Proportions#### 2. Compute the Test StatisticThe population distribution of Santa Clara County by race is provided in the table below. Use these percentages to compute the expected number of cases for each racial group. Round each of the expected counts to 2 decimal places.| Race | Proportion | Expected Cases ||----------------------|------------|----------------|| White | 0.455 | || Hispanic | 0.252 | || Black | 0.025 | || Asian/Pacific Islander | 0.268 | || **Total** | **1** | |Determine the value of the test statistic. Round your answer to 1 decimal place.\[\chi^2 = \_\_\_\_\_\]#### 3. Compute the p-value. Round your answer to 4 decimal places.\[p \text{-value} = \_\_\_\_\_\]#### 4. Interpret the Results of the Significance Test- **Option 1:** The differences between the distribution of AIDS cases and the distribution of the general population in Santa Clara County are not statistically significant. From a practical perspective, the differences are minor.- **Option 2:** The differences between the distribution of AIDS cases and the distribution of the general population in Santa Clara County is statistically significant. The differences are also important from a practical perspective. For example, the number of blacks with AIDS is times more than expected and the number of Asian/Pacific Islanders with AIDS is times less than expected.

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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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The population of ages at inauguration of all U.S. Presidents who had professions in the military is 62, 46, 68, 64, 57. Why does it not make sense to construct a histogram for this data set? A.This data set would yield a histogram that is not bell-shaped. B.Adequate class boundaries for a histogram cannot be found with this data set. C.With a data set that is so small, the true nature of the distribution cannot be seen with a histogram. D.There must be an even number of data values in the data set to create a histogram.
1. A car dealer wants to determine whether there is a difference in gas mileage between six car models. The ANOVA table for the data is given below. [Seorang pengusaha kereta ingin menentukan sama ada terdapat perbezaan perbatuan gas di antara 3 model kereta. Jadual ANOVA bagi data berkenaan seperti di bawah.] Source [Sumber] [Darjah kebebasan] [Jumlah kuasa dua] [Min kuasa dua] Treatment Degress of freedom Sum of squares Mean square F a 74 d f |[Rawatan] Error [Ralat] Total 35 195 Jumlah] (a) Complete the ANOVA table. [Lengkapkan jadual ANOVA tersebut.] (b) Write the hypotheses and determine whether there is a significant difference between mean gas mileage by different car models at a = 0.05. [Tulis hipotesis dan tentukan sama ada terdapat perbezaan yang signifikan antara perbatuan purata gas oleh model kereta yang berbeza pada a = 0.05.] %3D
On the following pages you are presented with five problems. Your job is to examine the output and discuss whether there is a statistically significant relationship between the two variables, the pattern or direction of the relationship if the relationship is significant, and the strength of the relationship if the relationship is significant. AS you discuss the strength of the relationship, you will rely on an appropriate measure of association from those that have been given. For that determination, you will need to appropriately determine the level of measurement of each of the variables being examined. Please use the Measures of Association Chart I provided to help you with your determination. You may write your responses on a separate document or next to the problems on this one.
How many days were 20 up to 25 packages shipped? What is the relative frequency of days in the 20 up to 25 class? Note: Round your answer to 2 decimal places. What is the midpoint of the 15 up to 20 class? Note: Round your answer to 1 decimal place. On how many days were there 10 or more packages shipped?
please complete the blank problem and or ones with a red x next to it not ones with a green check next to please
4) What do you infer from the odds ratio about the relationship between smoking and lung cancer?
Please no written by hand and no emage For a data sẹt with 230 observations, how many classes should you have? Type your numeric answer and submit

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