A fast-food chain claims one medium order of its onion rings weighs 114 grams. Patrice thinks she is getting less than what the restaurant advertises. She weighs the next 16 random orders of onion rings before sheeats them and finds the sample mean is 112.4 grams and the standard deviation is 7.63 grams. What conclusion can be drawn a = 0.10?O Patrice does not have sufficient evidence to reject the fast-food chain's claim.O Patrice has sufficient evidence to reject the fast-food chain's claim.O There is not sufficient evidence to prove the fast-food chain advertisement is true.O There is sufficient evidence to prove the fast-food chain advertisement is false.O There is not sufficient data to reach any conclusion.

To determine whether Patrice's suspicion that she's getting less than what the restaurant advertises…

Answered: A fast-food chain claims one medium…

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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4. Dougall compared the resting heart rate of average healthy citizens and soldiers suffering from post-traumatic stress disorder (PTSD). The normal resting heart rate for 25 healthy people averages 65 beats per minute (bpm) with a standard deviation of 6 bpm. The average heart rate of 16 people suffering from PTSD was 82 bpm with a standard deviation of 8 bpm. Use a = .05 for a two-tailed test. Does PTSD cause an elevation in resting heart rate? Complete all 4 steps of hypothesis testing.
1. Rini prefers red M&Ms over any other color. The Mars Company, makers of M&Ms, claims that 20% of all M&Ms are red. Rini plans to remove M&Ms from her bag one at a time until she gets her first red. What is the standard deviation of the number of M&Ms she will remove?
In a HuffPost Style and YouGov poll, 1000 US adults were asked about their online vs. in store clothes shopping. One finding was that 32% of respondents never clothes-shop online. 1. What is the sample size n? 2. What is ??̂ , the mean of the sample proportion ?̂? 3. What is ??̂, the standard deviation of the sample proportion ?̂? 4. What is the probability that the percentage of respondents who never shop online is below 33.3%?
A computer store has 80 printers of which 30 are laser printers and 50 are inkjet printers. If a group of 10 printers is chosen at random from the store, find the mean and standard deviation (Stdev) of the number of inkjet printers. A. Mean = 3.3, Stdev = 1.5 %3D O B. Mean = 6.25, Stdev = 2.34 %3D %3D O C. Mean = 6.25, Stdev = 1.53 D. Mean = 5O, Stdev = 4.33 %3D
A sales manager believes that the mean number of days per year her company's sales representatives spend traveling is less than 50. A test is made of ?0 ? = 7 ?????? ?1 ? < 50. The null hypothesis is not rejected. State an appropriate conclusion.
NebNas manages the credit department for a grocery store chain in the province, and she would like to determine whether the mean monthly balance of credit card holders is equal to $95. A random sample of 100 accounts indicated that the mean owed is $101.5 with a sample standard deviation of $25.6. If she wanted to test whether the mean balance is different from $95 and decided to reject the null hypothesis, what will be the p-value of the test?
Help me please asap.. Do not use chatgpt or any AI software. Thank you
The average starting salary of students who graduated from colleges of Business in 2009 was $48,800. A sample of 100 graduates of 2010 showed an average starting salary of $50,000. Assume the standard deviation of the population is known to be $7000. We want to determine whether or not there has been a significant increase in the starting salaries. a. State the null and alternative hypotheses to be tested. b. Compute the test statistic. c. The null hypothesis is to be tested at the 5% level of significance. Determine the critical value for this test. d. What do you conclude from the test? e. What does the test result mean in the context of this problem?
A telemarketing company knows that the daily average sales is 20. A new telemarketer who has just started with the company claims that the target of 20 sales per day is an unreasonably high target. From the 100 telemarketers working for you, you select a random sample of 16 and calculate the mean and the standard deviation of sales for a day to be 18.5 and 3.2 respectively. Is there any validity in the statement made by the new telemarketer? Test at the 5% level of significance.
The average amount of money that each customer spends at a particular bar is $27.84 with a standard deviation of $7.32. The owner of the bar is attempting to increase sales. The owner decides that playing live music will increase sales. The owner tests her theory by getting her son’s garage band to play one night at the bar for a random sample of 64 of her customers and then records the check total for each customer who was there while the band was playing. The customers who were there while the band was playing spent an average of $24.56. Conduct a one-tailed hypothesis test with a significance level of 5% to determine if customers spent more money when the live music was playing.
The mean work week for engineers in start-up companies is claimed to be about 59 hours with a standard deviation of 6 hours. Kara, a newly hired engineer hopes that it's not (she wants it to be shorter). She asks 10 engineers in start-ups for the lengths of their mean work weeks. Their responses are 70; 45; 55; 60; 65; 55; 55; 60; 50; 55.a. Is the newly hired engineer testing a mean or a proportion? mean proportion Correct b. The null hypothesis (or company claim), in symbols, is μ=μ=Correct.c. If the claim is correct, what is the probability that a sample mean would be as low as Kara's mean?Incorrect %Give your answer as a percentage accurate to one decimal place.
The administrator at your local hospital states that on weekends the average wait time for emergency room visits is 10 minutes. Based on discussions you have had with friends who have complained on how long they waited to be seen in the ER over a weekend, you dispute the administrator’s claim. You decide to test your hypothesis. Over the course of a few weekends, you record the wait time for 40 randomly selected patients. The average wait time for these 40 patients is 11 minutes with a standard deviation of 3 minutes. Do you have enough evidence to support your hypothesis that the average ER wait time is different than 10 minutes? You opt to conduct the test at an α = 0.025 level of significance.

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