**Hypothesis Testing Exercise****Objective:** By the end of this week, you should be familiarized with hypothesis testing.### Part A - The average height of a college student in the United States is 69.21 inches.Use our average class height (midterm project) to make a claim about this statement.**Instructions:**You are to include in this submission:1. **Define the population characteristic of interest (X = ____):** Define the specific variable you are examining. For example, $ X = \text{height in inches of a college student} $.2. **Sentence Construction:** Use the sentence provided below and add your claim. ``` The average height of a college student in the United States is 69.21 inches. Based on our data, we claim that the average height [is/is not] 69.21 inches. ```3. **Include the given null hypothesis:** \[ H_0 : \mu = 69.21 \]4. **Set up an alternative hypothesis:** Align this with the null hypothesis provided and the claim you made about it. For example: - If you believe the average height is different, your alternative hypothesis might be $ H_A: \mu \neq 69.21 $. - If you believe the average height is greater, your alternative hypothesis might be $ H_A: \mu > 69.21 $. - If you believe the average height is less, your alternative hypothesis might be $ H_A: \mu < 69.21 $.Submit your hypothesis testing exercise as per the instructions above. The image contains a sequence of numbers organized in a horizontal format. The numbers are as follows:1, 59, 60, 60, 60, 61, 62, 62, 62, 63, 64, 64, 64, 64, 64, 64, 64, 65, 65, 66, 67, 67, 67, 67, 68, 68, 69, 69, 70, 70, 70, 70, 71, 72, 73This sequence of numbers could represent a set of data, such as measurements, scores, or other quantitative information. For educational purposes, this sequence can be used to demonstrate statistical concepts such as frequency distribution, mean, median, mode, range, and more. Analyzing this data set can provide insights into patterns or trends within the data. Given the repeated values, one might infer that some numbers occur more frequently than others, making this sequence ideal for practice with histogram creation or frequency tables. Discussing and exploring this sequence can help students better understand how to organize and interpret data in mathematical and scientific contexts. If this data is related to a specific topic, such as test scores or experimental results, students can also explore how different data analysis methods provide varying insights depending on the chosen statistical approach.

The average height of a college student in the United states is 69.21 inches.Raw data: 1, 59, 60,…

Answered: We will use the same raw data we…

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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Question 1 W Show all your work. Indicate clearly the methods you use, because you will be scored on the correctness of your methods as well as on the accuracy and completeness of your results and explanations. A marketing director for a beverage company conducted a study to investigate people's soda preferences in two regions of the country. The director selected a random sample of 100 people from the east coast and a random sample of 100 people from the west coast to survey. The responses are summarized in the following table. East Coast West Coast Regular soda 44 37 Diet soda 39 42 No preference 17 21 Total 100 100 Do the data provide convincing statistical evidence, at the level of a = 0.05, that the preferences are different between the two regions of the country? Complete the appropriate inference procedure to support your answer.
Trying to determine the number of students to accept is a tricky task for universities. The Admissions staff at a small private college wants to use data from the past few years to predict the number of students enrolling in the university from those who are accepted by the university. The data are provided in the following table. R F eTextbook and Media Save for Late O % 5 T O >> G H (9) 2 Number Accepted Number Enrolled Find the correlation between the number of students accepted and enrolled. Use two decimal places in your answer. & 2,440 2,800 2,720 2,360 2,660 2,620 8 6 611 K 708 637 584 614 625 ( 9 L Attempts: 0 of 1 used ) 0 P Submit Answer 56°F Cl Backspa
For the three-part question that follows, provide your answer to each question in the given workspace. Identify each part with a coordinating response. Be sure to clearly label each part of your response as Part A, Part B, and Part C.Part A: What is the term for a generalization made about a population using the data from a sample?Part B: Name one challenge that may occur when using a sample to draw a conclusion about a population.Part C: A researcher collects data about the annual salary of employees who work in the information technology field. It would be difficult to survey all employees, so a sample of the population is surveyed. The data is recorded below. Use the table to write one conclusion that can be drawn. Explain why this conclusion is valid. Salary Range (Per Year) Number of Employees $50,000-$59,999 147 $60,000-$69,999 159 $70,000-$79,999 225 $80,000-$89,999 27
ch 11 end. 6: In a bumper test, three types of autos were deliberately crashed into a barrier at 5 mph, and the resulting damage (in dollars) was estimated. Five test vehicles of each type were crashed, with the results shown below. Research question: Are the mean crash damages the same for these three vehicles?
Identify each of the following as either a parameter or a statistic, and give the correct notation. Proportion of students at your university that smoke, based on data from your class. Is it a parameter or statistic? What is the correct notation of the parameter or statistic? Average commute time for employees at a small company, based on interviews with all employees. Is it a parameter or statistic? What is the correct notation of the parameter or statistic?
The study sorted PIR data into three categories: Use the graphs to estimate the following information from the study. You may wish to record your responses for use in later questions. Part A: The total number of obese men is about million. Part B: The total number of obese women is about million. Part C: The number of obese men with PIR<130% is about million. Part D: The number of obese women with PIR<130% is about million.
In a population-based cohort study, an entire community was interviewed regarding smoking habits and then followed for one year. Upon ascertainment of all lung cancer deaths, the investigator obtained the following data: Number of Individuals Lung Cancer Deaths Smokers 24,500 15 Nonsmokers 10,500 2 Calculate the risk difference per 100,000 per year. Round to the tenth decima
Boand The Calege Entrance Examination Board was not involved in the production of this material Used with permission Copynight 2010 National Math Science Intative, Dalas, Texas. All rights reserved. Visit us online at www.nms.org. AP is a trademark of the College Entrance Ex atistics StatCorp Exploration Below are the monthly salaries for all 16 employees of the StatCorp Data Analysis Corporation. Answer the questions that follow by yourself or with a partner. Monthly salaries: 6,350 6,125 6,500 2,800 12,800 7,500 5,859 7,400 5,760 7,350 7,250 6,000 2,500 2,500 5,230 5,100 1. Find the mean, median., and standard deviation of employee's salaries. mean = median = standard deviation = 2. Business has been good, so every emplovee receives a raise of $1,000. What will happen to the mean, median, and standard deviation? The mean will The median will The standard deviation will Check yourself: median = standard deviation = mean = 3. Business has not been good. Suppose that we must cut…
Use the information below to answer questions 27 and 28. Consider again the NCHS-reported mean total cholesterol level in 2002 for all adults is 2003. Suppose a new drug is proposed to lower total cholesterol. A study is designed to evaluate the ecacy of the drug in lowering cholesterol. Fifteen patients are enrolled in the study and asked to take the new drug for 6 weeks. At the end of 6 weeks, each patient’s total cholesterol level is measured and the sample statistics are as follows:n = 15, x̄ = 195.9, and s = 28.7. Is there statistical evidence of a reduction in mean total cholesterol in patients after using the new drug for 6 weeks? 27. The test statistic to be used is ........................................... and the hypotheses to test are?(i). ........................................................................... (ii)................................................................................. 28. Given that the table or the critical value is -2.145, do we accept…
Step 1 of 3. State the null and alternative hypotheses for the test. Step 2 of 3. Compute the value of the test statistic. Round your answer to three decimal places Step 3 of 3. Draw a conclusion and interpret the decision.
A certain virus affects 0.7% of the population. A test used to detect the virus in a person is positive 87% of the time if the person has the virus (true positive) and 14% of the time if the person does not have the virus (false positive). Fill out the remainder of the following table and use it to answer the two questions below based on a total sample of 100,000 people. Virus No Virus TotalPositive Test Negative Test Total 100,000a) Find the probability that a person has the virus given that they have tested positive. Round your answer to the nearest hundredth of a percent and do not include a percent sign. % b) Find the probability that a person does not have the virus given that they test negative. Round your answer to the nearest hundredth of a percent and do not include a percent sign. %
Suppose you read a research article that reported the results of a chi square analysis examining the relationship between treatment success (attributes = “yes” or “no”) and history of substance abuse (attributes = “yes” or “no”). The article included the following results in the note on the contingency table: X2 = 3.376, df = 1, p = .015. Which of the following are accurate interpretations of these results? (SELECT TWO CORRECT ANSWERS) Group of answer choices The association between treatment success and history of substance use is NOT statistically significant We can reject the null hypothesis The association between treatment success and history of substance use is statistically significant We can accept the null hypothesis

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