### Example Assignment from Statistics Course#### Hypothesis TestingAccording to the Centers for Disease Control and Prevention, 9.5% of high school students currently use electronic cigarettes. A high school counselor is concerned the use of e-cigs at her school is higher. Complete parts (a) through (c) below.**(a) Determine the null and alternative hypotheses:**1. Null Hypothesis (H₀): - The notation and format for entering the hypothesis are provided in the image, featuring fields for entering numeric or decimal values without rounding. 2. Alternative Hypothesis (H₁): - Similar to the null hypothesis, there are input fields to type numeric or decimal values for the alternative hypothesis.*(Type integers or decimals. Do not round.)*#### Additional Resources- **Help me solve this**: Provides step-by-step assistance in solving the problem.- **View an example**: Allows students to view a similar example to understand how to solve the problem.- **Get more help**: Offers additional resources or access to tutors for extra support.#### Tools and Interface- The interface includes various mathematical symbolic representations, such as blanks for numeric entries, square root symbols, π, and more.- Options for clearing all inputs or checking the answer are available.- The interface also includes the current time and weather, indicating user location and system functionalities.---This example illustrates the process of stating hypotheses for a statistical test, guiding students through practical steps using an interactive digital interface.

Given that Population proportion p=9.5%=0.095

Answered: According to the Centers for Disease…

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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7 If P(Q)=0.29, P(R)=0.67, and P(QnR)= 0.2 find P(QUR). • Write your answer as a decimal rounded to two decimal places, if necessary. Your Answer Back View Summary
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In this question, the real numbers in your answers should be given with three significant digits of accuracy after the decimal point. The public health authorities of a small town have divided the population into three categories: covid- negative, covid-positive, and hospitalised. After performing regular, extensive tests, they have observed that in each successive week: Among those who are negative, 95% remain so, 4% become positive, and 1% need to be hospitalised. • Among those who are positive, 75% recover and become negative, 20% stay positive, and 5% need to be hospitalised. Among those who are hospitalised, 60% recover and become negative, 30% are released from hospital but remain positive, and 10% remain hospitalised. (a) After representing the population in a given week as a column vector v = [n; p; h], where n, P, and h represent the number of people in the population who are negative, positive, and hospitalised respectively, write down a matrix M for which [n', p', h'] = M[n;…
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Please show as much work as possible, and please do not skip steps. I really want to learn how to solve this, so if you use a axiom please include it. Problem Statement: One out of every one- thousand people have disease X. A new test for X is available, but it's not very accurate. If you have X, there is an 80% chance the test comes back positive and a 20% chance it comes back negative. If you don't have X, there is a 60% chance the test comes back negative and a 40% chance it comes back positive. Question: You are randomly chosen to be tested for X. Since the test is not very accurate, you areadministered the test 10 times; assume the outcomes of these 10 tests are independent. Sevenout of the 10 tests come back positive. Given these test results, what is the probability youhave X?
A drug is used to treat asthma. In a clinical trial, 18 0f 279 treated subjects experienced headaches as the side effect. Test the manufacturers claim that less than 9% of treated subjects experienced headaches at 5% Please give the formula in excel and or spreadsheet. Thank you
Two varieties of corn are grown in 4 different locations. Each location provides a value in pounds for each variety.The table below lists the results. Find the standard error for the difference in the production of the two corn varieties to two decimal places. Variety 1 Variety 2 difference location 1 32.1 34.5 -2.4 location 2 30.6 32.6 -2.0 location 3 33.7 34.6 -0.9 location 4 29.7 31.6 -1.3 mean value 31.53 33.18 -1.65 standard deviation 1.76 1.72 0.68 1.23 0.75 0.34 0.98
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