What would be your decision based on your p-value?Reject Ho since the p-value > 0.1Reject Ho since the p-value < 0.1Fail to reject Ho since the p-value < 0.1Fail to reject Ho since the p-value > 0.1Reject HA since the p-value < 0.1 From the Behavioral Risk Factor Surveillance System in 2019, the prevalence of self-reported obesity among Michigan adult residents was 35.0%. Moreover, nationalreports from American Heart Association and Mayo Clinic state that people are moreinactive than they used to because of the COVID-19 preventive measures. With this,you are hypothesizing that this year, the proportion of people categorized as obese ishigher than before. To verify this, a random sample of 245 individuals were randomlyselected from the different counties. Out of the sample, 98 of them were classifiedas obese. Using 10% level of significance, perform a test of significance.

Name: What would be your decision based on your p-value?Reject Ho since the
Uploaded: 2024-03-20T06:38:44.000Z
Channel: Bartleby
Description: What would be your decision based on your p-value?Reject Ho since the p-value > 0.1Reject Ho since the p-value 0.1Reject HA since the p-value < 0.1 From the Behavior

Sample proportion =98/245 p = 0.4 The test statistic is given by p-value = 0.0504

Answered: What would be your decision based on…

Math

Statistics

What would be your decision based on your p-value Reject Ho since the p-value > 0.1 Reject Ho since the p-value < 0.1

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

See similar textbooks

Similar questions

A low-level CDC bureaucrat wants to please his boss by gathering evidence that the current government mandated shut down of society is not causing people's mental health to deteriorate, so that it can safely be continued for several years if the expert says is necessary. He pulls a random sample of 1600 citizens, Gathering data on such items as income loss, weight gain, access to toilet paper, our spent binge watching Netflix, and number of injuries caused by household fight, and compiles all this into a significantly-weighted "misery index". The mean misery index from the sample is 99.2; it seems reasonable to use a population standard deviation o=19.1. A. Does this information provide significant evidence (at the 5% level) that the Nationwide mean misery index is less than 100? Set up appropriate null and alternative hypothesis, calculate the appropriate test statistic, find the p-value, and state your conclusion.
In a clinical trial, 17 out of 900 patients taking a prescription drug complaint of flu like symptoms. Suppose that it is known that 1.3% of the patients taking competing drugs complain of flu like symptoms. Is there sufficient evidence to conclude that more than 1.3% of the drugs user experience food like symptoms as a side effect at the 0.01 level of significance? what are the normal and alternative hypothesis?
Landolt et al. (A-26) examined rates of posttraumatic stress disorder (PTSD) in mothers and fathers. Parents were interviewed 5 to 6 weeks after an accident or a new diagnosis of cancer or diabetes mellitus type I for their child. Twenty-eight of the 175 fathers interviewed and 43 of the 180 mothers interviewed met the criteria for current PTSD. Is there sufficient evidence for us to conclude that fathers are less likely to develop PTSD than mothers when a child is traumatized by an accident, cancer diagnosis, or diabetes diagnosis? Let alpha = 0.05
The technology underlying hip replacements has changed as these operations havebecome more popular (over 250,000 in the United States in 2008). Starting in 2003,highly durable ceramic hips were marketed. Unfortunately, for too many patients theincreased durability has been counterbalanced by an increased incidence ofsqueaking. The May 11, 2008, issue of the New York Times reported that in one studyof 143 individuals who received ceramic hips between 2003 and 2005, 10 of the hipsdeveloped squeaking.a. Calculate a lower confidence bound at the 95% confidence level for the trueproportion of such hips that develop squeaking.b. Interpret the 95% confidence level used in (a).
A 2017 article in The New England Journal of Medicine details the results of a randomized clinical trial designed to evaluate the efficacy of a rotavirus gastroenteritis vaccine designed for infants. As per the authors: “Each year, rotavirus gastroenteritis is responsible for about 37% of deaths from diarrhea among children younger than 5 years of age worldwide, with a disproportionate effect in sub-Saharan Africa. We conducted a randomized, placebo-controlled trial in Niger to evaluate the efficacy of a live, oral bovine rotavirus pentavalent vaccine (BRV-PV, Serum Institute of India) to prevent severe rotavirus gastroenteritis. Healthy infants received three doses of the vaccine or placebo at 6, 10, and 14 weeks of age. Episodes of rotavirus gastroenteritis were assessed through active and passive surveillance.” The following Kaplan-Meier curves show the time to a diagnosis of rotavirus gastroenteritis separately for the vaccine and placebo samples. Infants were followed for up to 60…
In a randomized double-blind clinical trials of a new vaccine children were randomly divided into two groups subjects in group one received the new vaccine while subjects in group 2 received a control vaccine after the second dose 112 of 690 subjects in the experimental group 1 experienced drowsiness as a side effect after the second dose 69 of 571 of the subjects in the control group 2 experienced drowsiness as a side effect does the evidence suggest that a higher proportion of subjects in group 1 experience drowsiness as a side effect than subjects in group 2 at 0.05 level of significance? Determine the null and alternative hypothesis? find the test statistic for this hypothesis test? determine the P value for this hypothesis test? do we reject or not reject the null hypothesis and why? State your conclusion?
In randomized, double-blind clinical trials of a new vaccine, infants were randomly divided into two groups. Subjects in group 1 received the new vaccine while subjects in group 2 received a control vaccine. After the second dose, 126 of 387 subjects in the experimental group (group 1) experienced drowsiness as a side effect. After the second dose, 158 of 574 of the subjects in the control group (group 2) experienced drowsiness as a side effect. Does the evidence suggest that a higher proportion of subjects in group 1 experienced drowsiness as a side effect than subjects in group 2 at the α=0.01 level of significance? Verify the model requirements. Select all that apply. A. The sample size is less than 5% of the population size for each sample. B. n1p11−p1≥10 and n2p21−p2≥10 C. The samples are dependent. D. The sample size is more than 5% of the population size for each sample. E. The samples are independent. F. The data come…
Historically, the proportion of people who trade in their old car to a car dealer when purchasing a new car is 48%. Over the previous six months, in a sample of 115 new car buyers, 46 have traded in their old car. To determine (at the 10% level of significance) whether the proportion of new car buyers that trade in their old car has this is statistically significantly decreased, what can you conclude concerning the null hypothesis? A) reject the null hypothesis Or B) fail to reject the null hypothesis
A large manufacturing company investigated the service it received from its suppliers and discovered that, in the past, 44% of all material shipments were received late. However, the company recently installed a just-in-time system in which suppliers are linked more closely to the manufacturing process. A random sample of 170 deliveries since the just-in-time system was installed reveals that 34 deliveries were late. If we want to test whether the proportion of late deliveries was reduced signicantly at = 0:01 the null and alternative hypotheses are a. Null hypothesis (H0) b. Alternative hypothesis (HA)
A large manufacturing company investigated the service it received from its suppliers and discovered that, in the past, 41% of all material shipments were received late. However, the company recently installed a just-in-time system in which suppliers are linked more closely to the manufacturing process.A random sample of 150 deliveries since the just-in-time system was installed reveals that 29 deliveries were late. If we want to test whether the proportion of late deliveries was reduced significantly at α = 0.10. Calculate the null and alternative hypothese.
In a controlled laboratory experiment, scientists at the University of Minnesota discovered that 25% of a certain strain of rats subjected to a 20% coffee bean diet and then force-fed a powerful cancer-causing chemical later developed cancerous tumors. Would we have reason to believe that the proportion of rats developing tumors when subjected to this diet has increased if the experiment were repeated and 16 of 48 rats developed tumors? Use a 0.05 level of significance.
In randomized, double-blind clinical trials of a new vaccine, rats were randomly divided into two groups. Subjects in group 1 received the new vaccine while subjects in group 2 received a control vaccine. After the second dose, 111 of 670 subjects in the experimental group (group 1) experienced drowsiness as a side effect. After the second dose, 68 of 551 of the subjects in the control group (group 2) experienced drowsiness as a side effect. Does the evidence suggest that a higher proportion of subjects in group 1 experienced drowsiness as a side effect than subjects in group 2 at the α=0.05 level of significance? a. Find the test statistic for this hypothesis test. Round to two decimal places as needed.