A researcher is interested in the effects of diazepam on anxiety in rats. She takes a group of 15 female rats and injects them with 0.005 mg of diazepam for every 100 g the rats weigh, and takes a different group of female rats and injects them with saline. She then puts them all on an elevated-plus maze for 15 minutes and observes how long they spend (in seconds) in the enclosed arms versus the open arms. The less time they spend in the enclosed arms means they have less anxiety. She also weighs them before the injection to make sure she gets the dosage correct. a. Identify the population of interest b. Identify the Independent variable. c. Identify the Dependent variable. od for the indenendent variable? Explain why

A researcher is interested in the effects of diazepam on anxiety in rats. She takes a group of 15 female rats and injects them with 0.005 mg of diazepam for every 100 g the rats weigh, and takes a different group of female rats and injects them with saline. She then puts them all on an elevated-plus maze for 15 minutes and observes how long they spend (in seconds) in the enclosed arms versus the open arms. The less time they spend in the enclosed arms means they have less anxiety. She also weighs them before the injection to make sure she gets the dosage correct. a. Identify the population of interest b. Identify the Independent variable. c. Identify the Dependent variable. od for the indenendent variable? Explain why

Name: A researcher is interested in the effects of diazepam on anxiety in r
Uploaded: 2024-03-20T07:06:41.000Z
Channel: Bartleby
Description: A researcher is interested in the effects of diazepam on anxiety in rats. She takes agroup of 15 female rats and injects them with 0.005 mg of diazepam for every 100 gthe rats weigh, and takes a different group of female rats and injects them withsa

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 sample of 26 offshore oil workers took part in a simulated escape exercise, resulting in the accompanying data on time (sec) to complete the escape: 389 351 354 361 379 423 321 396 403 374 375 371 362 367 365 327 338 395 393 369 378 359 353 409 332 398 I have uploaded a picture with the full problem. I need help in the 2 questions I got wrong. On the picture the table is already set in order from smaller to bigger. By how much could this value be decreased without affecting the value of the sample median? (Enter ∞ if there is no limit to the amount.) I have no idea on how to calculate that. The other question is all the way down. I know I have to conver the seconds to minutes. I got 370.85 / 60 = 6.1695 which if I round to 2 decimal places as asked by the problem I should be getting 6.17 minutes. I was marked wrong. Why? Thanks.
A research study comparing three treatment conditions produces T=20 with n=4 for the first treatment, T=10 with n=5 for the second treatment, and T=30 with n=5 for the third treatment. Calculate SSbetween treatments for this data.
thank you …
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
A Biology 20 class wanted to investigate the endurance of fellow students related to the activity of muscle cells. A muscle is said to be fatigued when it is unable to maintain a certain level of performance. The students designed an experiment that used the number of repetitions of a muscle group to indicate the level of performance. Procedure: Each individual used the apparatus diagrammed above to perform three trials. First a 250 gram load was used, then 500 grams, and lastly a 1000 gram load was used. A 1 litre soft drink bottle was filled with the appropriate mass of water. (1 mL of water = 1 gram). The subject was instructed to raise and lower each mass rapidly -- about twice a second. The trial was considered finished if the subject could not raise the weight 3 cm or was unable to maintain a rate of 2 lifts per second. Between trials the subject had a 1 minute rest. During this time the arm of the subject could be massaged. I Questions: (a) What problem were the Biology 20 class…
We're interested in whether warm milk helps people go to sleep faster. We have a lab with EEG monitors that will provide us with data as to how many minutes elapse before someone falls asleep. (People spend the night in the lab.) In the first experimental condition, participants fall asleep as they usually do, without warm milk. In the second condition, participants drink 6 oz. of warm milk before going to sleep. Data for 5 participants is shown in the table below. Choose the appropriate type of t- test (independent samples or paired samples) and conduct the t-test and hypothesis test. Be sure to show all of your calculations either on your scratch work or in this text box. DO: Include the t-test value and your hypothesis test conclusion in this test box, not just in your scratch work. Minutes to Minutes to NO MILK sleep MILK sleep Participant 1 10 Participant 1 11 Participant 2 10 Participant 2 12 Participant 3 8. Participant 3 8 Participant 4 17 Participant 4 13 Participant 5 13…
A pharmaceutical company has developed a drug that is expected to reduce hunger. To test the drug, three samples of rats are selected with n=9 in each sample.The first sample receives the drug every day. The second sample is given the drug once a week, and the third sample receives no drug at all (the control group). These assignments of drugs are called treatments.The (dependent) variable being compared is the amount of food eaten by each rat over a 1-month period. These data are analyzed by an ANOVA, and the results are reported in the following summary table. How many groups (or population means or treatments) are being compared in this problem? _________ (Enter a whole number) What is the total number of data used in this problem? _________(Enter a whole number) Fill in all missing values in the table. (Hint: Start with the df column and your above answers.)If there are decimal places in your answer, provide 2 or more decimal places. Source of Variation SS df MS F…
You are interested in enhancing the performance of runners in a 10-kilometer event. You randomly select 40 runners and randomly assign them to one of two diet groups. During the 24 hours prior to the 10K run you feed the experimental group a special diet of 80% of their calories from carbohydrates and ad lib water intake. During the 24 hours prior to the event you tell the control group to eat what they normally would eat and drink prior to a 10-K race. Prior to running the event you measure the glycogen content of the quadriceps muscle in mg/kilogram of wet muscle of each subject. You also measure the individual’s time to run the 10K event. Thus, the purpose of your study is to determine the effect of a high carbohydrate diet on glycogen content of the muscle and 10k performance. A secondary purpose is to examine the relationships between glycogen content of the quadriceps and 10K performance. For each statistical hypothesis set indicate the type of question (Descriptive,…
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…
Select the two different ways to state that the means of two populations are different.
A sleep researcher is interested in learning about how to help people fall asleep faster at night without taking medicine. She asks n = 13 individuals to wear a device to bed for two weeks straight. Half of the participants were asked to spray their pillows with a lavender mist for the first week then sleep with a regular "unscented" pillow for the second week. The other half of the participants were asked to do the same thing, but in the opposite order: unscented pillow then lavender misted pillow. Testing at an alpha level of a = .01, she expects the lavender scented pillow to decrease the amount of time it takes people to fall asleep. State the Hypotheses 2 3 4 5 Ho: Subject 6 7 H₁: 8 9 10 11 12 13 MD= = Determine the critical region and draw it on the distribution above: Calculate the test statistic using the following sample data below: 360 sec 420 sec 480 sec tcritical = Regular Lavender Pillow Pillow 420 sec 420 sec 480 sec 480 sec 360 sec 360 sec 420 sec 420 sec 420 sec 420 sec…
A researcher designed a study to test whether caffeine use enhanced performance time to run a 100 meter sprint. The participants (n=30) ran a 100 meter sprint before the consumption of caffeine on day 1 and then they ran another 100 meter sprint on the following day 2 after ingesting caffeine. The average time taken to run the 100 meter sprint on day 1 was (M1) and the average to run on day 2 after caffeine was (M2). The variance for this study was calculated to be (S2). Does caffeine use improve the running time in the 100 meter sprint (e.g., lower time)? Use all of the data provided to you below and test at an alpha of 0.05. M1 = 26.53M2 = 14.69S2 = 207.75n=30 a) state null and alternate hypothesis b) what is the critical value c) what is the obtained value d) conclusion