4. A health researcher read that a 200-pound male can burn an average of 542.5 caloriesper hour playing tennis with a standard deviation of 35.6 calories. 55 males were randomlyselected, and the mean number of calories burned per hour playing tennis was 524.8. Dothe tennis players burn more calories per hour? Test with a = 0.01.

Answered: Image /qna-images/answer/3a75448f-a4a2-4e03-8f43-8f7fc7df8606.jpg

Answered: 4. A health researcher read that a…

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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Chell is testing several types of boots for durability when falling a long distance. She found six types of boots. For each boot she drops from increasing heights until she is injured. Her overall average was 72.5 feet, with a pooled standard deviation of 6.4. The data for each type is shown below. Number ofboots Std Dev(for each boot) Mean height(in feet) Steel 24 6.9 69.5 Titanium 7 8.9 69.4 Vibranium 18 5.2 73.3 Mithril 8 5.9 74.5 Netherite 13 4.4 75.4 Atium 15 7.2 74.2 Assuming normality and equal variances perform a hypothesis test.Use three decimal places in the table
The amount of maple syrup made at local sugar shacks is normally distributed with a mean of 70.5 gallons and a standard deviation of 9 gallons. The standard z-score (rounded to two decimal places) corresponding to 82 gallons is
After the pandemic hit and people were forced to spend more time indoors, there have been a suspicion among health professionals. that people are eating more and thus gaining weight. In 2018, the average weight of 192 pounds, and health experts want to know if that average weight of the American male has gone up during this pandemic. d. A sample of 50 American males yeilded a sample average weight of 195 pounds and a sample standard deviation of 14.5 pounds. What is your conclusion at the 5% level of significance? (be sure to state your conclusion in the context of this problem) e. Would your conclusion change if the level of significance were changed to 1%? Briefly explain.
A company produces steel rods. The lengths of the steel rods are normally distributed with a mean of 99.3-cm and a standard deviation of 1.5-cm. For shipment, 25 steel rods are bundled together.Find P27, which is the average length separating the smallest 27% bundles from the largest 73% bundles. P27 =
The lengths of nails produced in a factory are normally distributed with a mean of 3.343.34 centimeters and a standard deviation of 0.070.07 centimeters. Find the two lengths that separate the top 3%3% and the bottom 3%3%.
The heights of 10 year old American children are normally distributed with a mean height of 4 feet and 5 inches (or 53 inches) and a standard deviation of 4.5 inches.In order to be allowed to go on a particular kids ride at the amusement park, children must be at least 44.9 inches tall and no more than 59.75 inches tall.What percent of 10 year old American children cannot go on the ride?
The number of leaves on apple seedlings aged 2 months followed a normal distribution, the average was 12sheet with a standard deviation of 2. What is the % of plant seeds that have a. at least 10 sheetsb. between 10 to 12 sheetsc. more than 14 sheets.
A bottled water distributor wants to determine whether the mean amount of water contained in 1-gallon bottles purchased from a nationally known water bottling company is actually 1 gallon. You know from the water bottling company specifications that the standard deviation of the amount of water is 0.02 gallon. You select a random sample of 50 bottles, and the mean amount of water per 1-gallon bottle is 0.992 gallon. What is the test statistic?
A company produces steel rods. The lengths of the steel rods are normally distributed with a mean of 119.5-cm and a standard deviation of 2.2-cm. For shipment, 24 steel rods are bundled together.Find P75, which is the average length separating the smallest 75% bundles from the largest 25% bundles.P75 = -cm
Steve believes that his wife's cell phone battery does not last as long as his cell phone battery. On eight different occasions, he measured the length of time his cell phone battery lasted and calculated that the mean was 19.7 hours with a standard deviation of 9.4 hours. He measured the length of time his wife's cell phone battery lasted on twelve different occasions and calculated a mean of 18.9 hours with a standard deviation of 5.3 hours. Assume that the population variances are the same. Let Population 1 be the battery life of Steve's cell phone and Population 2 be the battery life of his wife's cell phone. Step 1 of 2: Construct a 90 % confidence interval for the true difference in mean battery life between Steve's cell phone and his wife's. Round the endpoints of the interval to one decimal place, if necessary.
An orange juice producer buys all his oranges from a large orange grove. The amount ofjuice squeezed from each of these oranges is approximately normally distributed, with a meanof 4.70 ounces and a standard deviation of 0.40 ounce.c. At least how many ounces of juice will 77% of the oranges contain?

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