T-Mobile Wi-Fi ?I 9:56 AM• 77%Done20 of 22MIa ( MtuxDACIM hFJJ Oe : 0FOJI O: a ĐJi student.desmos.com/activitybuilder/studentNi087417008264d0cbd495700Nscreenld-01efla4f-adi1-45c7-b5d0-BaccBdese555第Q☆UpdateAppsOnteurse Cenne.Cara Destiy shaO Employment Certer Legin Session Exaration.Laginb Selrg Associe.E3 Sign in P VH Pcrtrai Drun3 Nursing Tracition.Unit 4, Lesson 13: ExperimentingDestiny O'uagbu11 of 13Next >The histogram displays the results from 200 simulations of redistributing data from an experiment to create a randomization distribution comparing thelength, in contimeters, of two different groups.The difference between the mean lengths of the two groups being studied is 2.5 millimeters.Use information in the histogram to support the clairmthat a mean difference of 2.5 millimeters is likely to occurby chance. Explain your reasoning.4030What is a value of a mean difference that would beunlikely to occur by chance?2010-21-4O1 2 4difference of the means in millimetersSubmit#3&15689deQWETY UPASDFGHJK L>?C| V B NMoptioncommandcommandoption

Since around 35 times the difference of the means was 2.5 millimeters, therefore, we can say that…

The histogram displays the results from 200 simulations of redistributing data from an experimont to create a randomization distribution comparing the length, in contimeters, of two different groups. The difference betweon the mean lengths of the two groups baing studied is 2.5 millimeters. 60 Use information in the histogram to support the clairmn that a mean difference of 2.5 millimeters is likely to oCcur by chance. Explain your reasoning. 40 What is a value of a mean differcnca that would be unlikely to occur by chanco? 20 10 - 1 2 difference cf the means in millmeters Submit

The histogram displays the results from 200 simulations of redistributing data from an experimont to create a randomization distribution comparing the length, in contimeters, of two different groups. The difference betweon the mean lengths of the two groups baing studied is 2.5 millimeters. 60 Use information in the histogram to support the clairmn that a mean difference of 2.5 millimeters is likely to oCcur by chance. Explain your reasoning. 40 What is a value of a mean differcnca that would be unlikely to occur by chanco? 20 10 - 1 2 difference cf the means in millmeters Submit

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

Listed below are the numbers of years that archbishops and monarchs in a certain country lived after their election or coronation. Assume that the two samples are independent simple random samples selected from normally distributed populations. Do not assume that the population standard deviations are equal. Use a 0.10 significance level to test the claim that the mean longevity for archbishops is less than the mean for monarchs after coronation, All measurements are in years. ok nch Click the icon to view the table of longevities of archbishops and monarchs. What are the null and alternative hypotheses? Assume that population 1 consists of the longevity of archbishops and population 2 consists of the longevity of monarchs. O B. Ho H1 = H2 H, 2 OA. Ho H1 SH2 correct: er Conter YC. Ho H1 = H2 H, H H2 O D. Ho H1 2 H H P2 for Succes media Lib The test statistic is. (Round to two decimal places as needed.) hase Optio rse Tools
Astudy was done on body temperatures of men and women. The results are shown in the table. Assume that the two samples are independent simple random samples selected from normally distributed populations, and do not assume that the population standard deviations are equal. Complete parts (a) and (b) below. Use a 0.05 significance level for both parts.
we look at a random sample of 1000 united flights in the month of December comparing the actual arrival time to the scheduled arrive time. computer output of the descriptive statistics for the difference in actual and expected arrival time of these 1000 flights are shown below : N=1000 Mean =4.06 St Dev. = 45.4 SE Mean =1.44 Min= -35 Q1 = -14 Median = -5 Q3 =9 Max =871 what is the sample mean difference in actual and expected arrival times? what is the standard deviation of the difference ? x bar = and s= ?
Help!!
A hypertensions trial is mounted and 12 participants are randomly assigned to receive either a new medication or a placebo. Each participant takes assigned medication and their systolic blood pressure (SBP) is recorded after 6 months on the assigned medication the data are shown in table 7-9 is there a difference in the mean SBP between treatment? Run the appropriate test at a =0.05
I tried the two last choice both of them are wrong.
Ten randomly chosen participants in a Math Training Program took a pretest and a posttest. Test at 0.05 level of significance whether the variance of the posttest scores is significantly different from the variance of the pretest scores. Use the data the following data. [pretest: 5, 6,7,7,7,8,8,9,9,10] [posttest: 6,7,9,8,7,913,10,11,6]
> Question 4 The lengths of adult males' hands are normally distributed with mean 192 mm and standard deviation is 7 mm. Suppose that 7 individuals are randomly chosen. Round all answers to 4 where possible. a. What is the distribution of ? - N( b. For the group of 7, find the probability that the average hand length is more than 188. c. Find the first quartile for the average adult male hand length for this sample size. d. For part b), is the assumption that the distribution is normal necessary? O No Yes Hint: Some Helpful Videos: • Finding the Sampling Distribution [+] • Finding a Probability Using the Central Limit Theorem [+] • Finding Value Given a Probability Using the Central Limit Theorem [+] . The Central Limit Theorem For ns [+] Hint Submit Question 40 % $ R 5 16 T 4- ^ 6 4+ Y 90 & BA 7 * U 19 144 8 ly 1 tio C I DII 9 DDI O P A
Fríða wants to explore the average number of restaurants tourists at a hostel visit during their stay. Her theory is that well dressed tourists (at her opinion) visit more restaurants than those worse dressed. She conducts an experiment where she picks 100 guests at random, asks them how many restaurants they have visited and after that she records how well they are dressed (on a scale from one to ten). What is the main statistical problem with Fríðas experiment? Please explain 1. There is no correction for placebo effects. 2. Experimenters bias can occur. 3. Sampling bias can occur. 4. The number of participants will be small and statistical tests will therefore have a small power. 5. R-command: There arrive at average 4 guests at the Blue Lagoon at each minute on a typical Wednesday in May. What is the probability of exactly four guests arriving the next minute? 1. 19.5 % 2. 50 % 3. 62.9 % 4. 25 %
A random sample of 50 CSCC students are surveyed to determine what percent of our students are first-generation college students. The results showed that 16 of the students identify as first-generation college students. show your work What is the sample proportion of first-generation college students at CSCC? Is this an example of a parameter or a statistic? Explain.
Longevities of Archbishops and Monarchs 16 Archbishops 16 15 15 16 17 1 18 18 10 13 13 11 13 11 11 17 18 10 18 12 19 17 Monarchs 14 18 14 13 19 16 21 14 16 17 15 16
Describe a study in which you can use both nonparametric and parametric statistics. A researcher has participants expecting to receive either painful or mild electrical shocks during a study wait in a quarter-full waiting room with other participants. He then measures whether they choose to sit next to other participants or if they sit far away on their own. What is the best test to run for this study and why?