Over the past 10 years, contestants at the county fair hotdog eating contest averaged 125 hotdogs within the 1 minute time frame. Due to Covid19 restrictions, there were only 15 contestants who ate an average of 122 hotdogs. s=6.5 We're interested in finding out if there is significant change in hotdog eating. Use the hypothesis that HO: µ=125, Ha: #125. What is the SE? 10.9 1.7 O 6.5 8.3

Over the past 10 years, contestants at the county fair hotdog eating contest averaged 125 hotdogs within the 1 minute time frame. Due to Covid19 restrictions, there were only 15 contestants who ate an average of 122 hotdogs. s=6.5 We're interested in finding out if there is significant change in hotdog eating. Use the hypothesis that HO: µ=125, Ha: #125. What is the SE? 10.9 1.7 O 6.5 8.3

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Description: Over the past 10 years, contestants at the county fair hotdog eating contestaveraged 125 hotdogs within the 1 minute time frame. Due to Covid19 restrictions,there were only 15 contestants who ate an average of 122 hotdogs. s=6.5We're interested in f

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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Need help. Will give thumbs up! Data typed below. Thank you! TSERofReturn AcmeRofReturn -1.99167 -1.03712 2.64815 3.04528 -0.58856 0.44802 -0.76395 0.60781 -0.81178 2.51735 -0.14212 1.70972 0.17677 -0.27609 0.54349 1.18672 -0.09428 0.49632 0.3681 -3.08347 0.60727 1.4182 1.3726 0.1878 -0.8915 -1.81699 1.8031 0.975 -0.26967 1.85853 2.42493 2.33005 -0.95528 -0.48742 -0.28562 -0.15591 -2.13517 -1.67924 -0.85961 1.57905 1.0856 -4.09194 -1.06689 -0.43368 0.04922 1.22281 3.2381 -0.55675 1.05371 -0.23124 -1.1785 -5.10525 1.11749 0.5909 -0.01456 1.70857 1.13344 0.93883 2.6641 0.92507 -1.33795 0.9294 -1.65683 -1.93668 -2.21489 -5.10648 -1.19445 0.47456 -0.461 0.19373 0.6551 -0.44915 1.5161 -1.11084 3.42943 2.58471 -0.3175 1.17337 -0.47695 -1.08238…
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A researcher wants to know whether children with ADHD tend to watch more TV than children who are not diagnosed with the disorder. To examine this, a researcher obtains a sample of n = 36 children (ages 8 to 12 years) who have been diagnosed with ADHD. Each child is asked to keep a journal recording how much time each day is spent watching TV. The average for the sample is M = 4.9 hours/day. Assume that the average TV-watching time for the general population of 8-to-12-year-old children is µ = 4.1 hours/day with σ = 1.8. Is ADHD in children associated with an increased amount of TV-watching?
Determine whether the given description corresponds to an observational study or an experiment. In a study of 366 women with a particular disease, the subjects were monitored with an EEG while asleep. Does the given description correspond to an observational study or an experiment?
Dr.Blume has trained observers to use frequency recording to record the behavior of 12 schizophrenic clients. According to the analysis of the data κ = 0 . 47, do you think the observers are sufficiently trained to allow Dr. Blume to proceed with the research?
Researchers investigated the effect of weed-killing herbicides on house pets. They examined 822 dogs from homes where herbicides were used regularly, diagnosing malignant lymphoma in 475 of them. Of the 125 dogs from homes where no herbicides were used, only 15 were found to have lymphoma. Complete parts a through c. a) What is the standard error of the difference in the two proportions? (Round to five decimal places as needed.)
Rhino viruses typically cause common colds. In a test of the effectiveness of echinacea, 33 of the 38 subjects treated with echinacea developed rhinovirus infections. In a placebo group, 94 of the 111 subjects developed rhinovirus infections. Use a 0.01 significance level to test the claim that echinacea has an effect on rhinovirus infections. Complete parts (a) through (c) below. a. Test the claim using a hypothesis test. Consider the first sample to be the sample of subjects treated with echinacea and the second sample to be the sample of subjects treated with a placebo. What are the null and alternative hypotheses for the hypothesis test? O A. Ho: P1 #P2 Hy:P1 =P2 O B. Ho: P1 =P2 H1: P1 P2 H1: P1 #P2 Identify the test statistic. (Round to two decimal places as needed.) Identify the P-value. P-value = (Round to three decimal places as needed.) What is the conclusion based on the hypothesis test? the null hypothesis. There sufficient evidence to support the claim that echinacea…
A university conducted a study of online adults that included 411 tablet owners. The study found that 217 tablet owners use their tablet while watching TV. The authors of the report imply that the survey proves that more than half of all tablet owners use their tablet while watching TV at least once per day. Determine the p-value. The p-value is _______ (Round to four decimal places as needed.)
In a study of exhaust emissions from school buses, the pollution intake by passengers was determined for a sample of nine school buses used in the Southern California Air Basin. The pollution intake is the amount of exhaust emissions, in grams per person, that would be inhaled while traveling on the bus during its usual 18-mile trip on congested freeways from South Central LA to a magnet school in West LA. Here are the amounts for the nine buses when driven with the windows open. 1.17 0.33 0.40 0.33 1.32 0.38 0.25 0.40 0.35 (a) Consider making a stemplot. Are there outliers or strong skewness that would preclude use of the t procedures? Which is correct? A. The sample is small and the stemplot is right skewed with possible outliers, so use of t procedures is not appropriate. b. The distribution is symmetric so use of t procedures is appropriate. c. The sample is small and the stemplot is left skewed with possible outliers, so use of t procedures is…
30 of 68 ge 13. Your teacl 11. A consumers group recently tested 100compact fluorescent light bulbs and recorded their lifetimes. The shows the boys ages chart shows the results. 2 to 20 years: Boys Body mass index-for-age Lifetime (h) Frequency Date Age Weight Stat 5000-6000 7 6000-7000 12 7000-8000 34 8000-9000 27 9000-10 000 10 *To Calculate BMI: Weight (kg or Weight (Ib) - Sta BMI 10 000–11 000 27 11 000-12 000 26 25- a) Make a box and whisker plot of the 24 23 data. 22 b) Make a histogram of the data and mark the quartiles on it. 21 20 19 c) Describe the middle 50% of the data. 18 17 d) Identify any outliers. 16 15 12 Agencies trocl o 1: