Suppose Aaron recently purchased an electric car. The person who sold him his new car told him that he could consistently travel 200 mi before having to recharge the car's battery. Aaron began to believe that the car did not travel as far as the company claimed, and he decided to test this hypothesis formally. Aaron drove his car only to work and he recorded the number of miles that his new car traveled before he had to recharge its battery a total of 21 separate times. The table shows the summary of his results. Assume his investigation satisfies all conditions for a one-sample t-test. Mean miles traveled Sample size t-statistic P-value t P 185 21 -0.65 0.262 The results statistically significant at a = 0.05 because P 0.05.

Suppose Aaron recently purchased an electric car. The person who sold him his new car told him that he could consistently travel 200 mi before having to recharge the car's battery. Aaron began to believe that the car did not travel as far as the company claimed, and he decided to test this hypothesis formally. Aaron drove his car only to work and he recorded the number of miles that his new car traveled before he had to recharge its battery a total of 21 separate times. The table shows the summary of his results. Assume his investigation satisfies all conditions for a one-sample t-test. Mean miles traveled Sample size t-statistic P-value t P 185 21 -0.65 0.262 The results statistically significant at a = 0.05 because P 0.05.

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 special education teacher did research on whether or not there is a relationship between the number of students in his class and the number incidents of “acting out” behaviors exhibited by the autistic students in the classroom. He collects data for a year and aggregates them by month. He obtained the statistics below, r= -.863 R2=.74 b= -1.212294 a= 131.176598 10.) How does the presence of more students affect the incidents in the class? a) as students are added the incidences increase b) as students are added the incidences decrease c) the number of students does not affect acting out d) the number of students caused more incidents How much of the variability of acting out is explained by the number of students in the class?___________
Please solve for parts D, E, and F.
In North America, between 100 million and 1 billion birds die each year by crashing into windows on buildings, more than any other human-related cause. This figure represents up to 5% of all birds in the area. One possible solution is to construct windows angled downward slightly, so that they reflect the ground rather than an image of the sky to a flying bird. An experiment by Klem et al. (2004) compared the number of birds that died as a result of vertical windows, windows angled 20 degrees off vertical, and windows angled 40 degrees off vertical. The angles were randomly assigned with equal probability to six windows and changed daily; assume for this exercise that windows and window locations were identical in every respect except angle. Over the course of the experiment, 30 birds were killed by windows in the vertical orientation, 15 were killed by windows set at 20 degrees off vertical, and 8 were killed by windows set at 40 degrees off vertical. . Clearly state an appropriate…
You work for the U.S. Food and Drug Administration. You have gotten word that a drug manufacturing is not accurately reporting the contents of their liquid cold medication. Under Federal Regulations, "Variations from stated quantity of contents shall not be unreasonably large" (see section q of the regulation by clicking here).The company that produces the cold medication is claiming that each bottle contains 355 milliliters of cold medication, which is about 12 fluid ounces. In order to determine if they are accurate in their reporting, you decide to randomly select 20 different bottles of cold medication and measure the amount of cold medication in each bottle (in milliliters). The results of each sample are shown below. Bottle Number 1 2 3 4 5 6 7 8 9 10 Milliliters 352 341 358 351 358 353 345 341 354 343 Bottle Number 11 12 13 14 15 16 17 18 19 20 Milliliters 345 344 344 342 355 341 352 359 349 355 a) Use the data shown above to construct a 93% confidence interval…
In Utah, it is illegal for a person to drive if their blood alcohol level (BAC) is higher than 0.05. For a typical male, their liver can decrease BAC by 0.015 per hour. If a typical male has a BAC of 0.08 at 6pm and consumes no more alcohol, what is his predicted BAC at 7:30pm?When do you predict a typical male in part a. will have a BAC of 0?If Peter had a BAC of 0.08 at 7pm, do you think he will be legal to drive at exactly 9:00pm? Explain your answer in 1-2 sentences
A 9-year-old girl did a science fair experiment in which she tested professional touch therapists to see if they could sense her energy field. She flipped a coin to select either her right hand or her left hand, and then she asked the therapists to identify the selected hand by placing their hand just under her hand without seeing it and without touching it. A 9-year-old girl did a science fair experiment in which she tested professional touch therapists to see if they could sense her energy field. She flipped a coin to select either her right hand or her left hand, and then she asked the therapists to identify the selected hand by placing their hand just under her hand without seeing it and without touching it. Among 257 trials, the touch therapists were correct 105 times. Use a 0.01 significance level to test the claim that touch therapists use a method equivalent to random guesses. Do the results suggest that touch therapists are effective?
Please complete the following summary table for the following scenario. Please be sure to round your answers correctly to two decimal places (else it is marked wrong). An educational psychologist is interested in the effect of reading on reasoning abilities. Ten students from grades six through eight are enrolled in a reading club that requires daily reading of books for thirty days. Student reasoning ability is tested using a logic quiz with twenty question. The number of correct answers was recorded for each student. The researcher administered a logic quiz before, during, and after the thirty day reading assignment. Means are included below. Did the reading regularly affect reasoning? Before; 10.70 During: 11.50 After: 14.00 Source Time Error Sum of Squares 59.00 18.00 df 2 27 Mean Squares 29.5 0.67 F 44.03
Please answer question 4.1
Suppose Aaron recently purchased an electric car. The person who sold him his new car told him that he could consistently travel 200 mi before having to recharge the car's battery. Aaron began to believe that the car traveled even farther than the company claimed, and he decided to test this hypothesis formally. Aaron drove his car only to work and he recorded the number of miles that his new car traveled before he had to recharge its battery a total of 17 separate times. The table shows the summary of his results. Assume his investigation satisfies all conditions for a one-sample t-test. Mean miles traveled Sample size t-statistic P-value P 207 17 1.48 0.079 The results statistically significant at a = 0.01 because P 0.01. are are not V
To determine if chocolate milk was as effective as other carbohydrate replacement drinks, nine male cyclists performed an intense workout followed by a drink and a rest period. At the end of the rest period, each cyclist performed an endurance trial where he exercised until exhausted and time to exhaustion was measured. Each cyclist completed the entire regimen on two different days. On one day the drink provided was chocolate milk and on the other day the drink provided was a carbohydrate replacement drink. Data consistent with summary quantities appear in the table below. (Use a statistical computer package to calculate the P-value. Subtract the carbohydrate replacement times from the chocolate milk times. Round your test statistic to two decimal places, your df down to the nearest whole number, and the P-value to three decimal places.) t= 1.93 df= 8 p=? Is there sufficient evidence to suggest that the mean time to exhaustion is greater after chocolate milk than after…
You are interested in the relationship between exercise and anxiety. You therefore design two separate studies. Study 1: You give a questionnaire about exercise. This questionnaire yields a score between 0 and 30, with 0 being never exercises, and 30 being exercises near constantly. You also give a questionnaire about anxiety. This questionnaire yields a score between 0 and 50, with 0 being not anxious at all, and 50 being extremely anxious. You then see if scores on the exercise questionnaire are related to scores on the anxiety questionnaire. Study 2: You randomly assign individuals to one of two groups. Group 1 must exercise for an hour a day 5 days a week, for one month. Group 2 must not exercise at all for the whole month. After the month, you conduct a formal diagnostic interview with each person to determine their level of anxiety. This anxiety interview yields an anxiety scale between 1 and 20. You then see if mean anxiety, as measured by the interview, is significantly…