eeping outlier: A simple random sample of nine college freshmen were asked how many hours of sleep they typically got per night. The results were6.5 67.5 7.58.5 9Send data to Excel8Part: 0/3Part 1 of 324otice that one joker said that he sleeps 24 hours a day.9.5(a) The data contain an outlier that is clearly a mistake. Eliminate the outlier, then construct a 99% confidence interval for the mean amount of sleep fromthe remaining values. Round the answers to two decimal places.A 99% confidence interval for the mean amount of sleep from the remaining values isX<μ<S8000

Outlier is the data value that has an abnormal difference from all other values of the data set.

Answered: eeping outlier: A simple random sample…

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

Read the study below carefully. Then answer the questions that follow by typing in the letter of the correct response. Rhianna hears that watching ASMR videos on YouTube can help with insomnia. She conducts a sleep study on 60 people who have difficulty sleeping by asking a simple random sample of 30 participants to watch at least 20 minutes of ASMR videos prior to sleeping and the remaining 30 participants to attempt to sleep without watching any videos. During the study, the subjects are connected to an EEG machine, which is used to measure brain activity. Rhianna analyzes the EEG results and concludes that those who watched the ASMR videos experienced a better quality of sleep than those who did not. i. Identify the treatments in Rhianna’s study. A. being connected to an EEG machine B. experiencing difficulty sleeping C. watching at least 20 minutes of ASMR videos D. watching at least 20 minutes of non-ASMR videos E. watching no videos prior to sleep F. all…
A box contains 5 green and 3 orange balls. If three balls are taken at random with replacements, what is the variance number of orange balls? A. 45/8 B. 15/8 C. 1/8 D. 9/8
Researchers asked parents of 19 American children, ages 8 to 12, to complete surveys on the number of hours their children spent reading and the number of hours they spent on screen-based media time. Each of the children also underwent magnetic resonance imaging (MRI) to assess connectivity in the brain. More time spent reading was associated with higher connectivity, while more screen time was associated with lower connectivity in the brains of the children. 1. What is the sample in this study? c 2. What is a possible population? F6 3. Is this an experiment or an observational study? Why did you make that decision? 4. Can we conclude that more time spent reading increases connectivity in children's brains? 5. Identify a possible confounding variable and explain how it meets the definition of a confounding variable. MacBook Air tv♫ F7 * 2 DII F8 ( ZA F9 1 F10 & F11 DOCX A
Julius has conducted a very small study of the amount of sleep his dorm mates get each night. He believes that those who are on one of the school’s sports teams will get more sleep (measured in hours per night) than those who are not. Julius surveyed 12 people. Of these, 6 played on a sports team and 6 did not. The descriptive statistics from his survey are given below. PLAYS SPORTS (Sample 1) DOES NOT PLAY SPORTS (Sample 2) 8 6 9 6 8 5 7 7 8 7 7 6 What is the critical value for this test? what is the t-obtain value for this t-test? Based on your t-obtained value, what should you conclude about the null hypothesis for this test?
A 2012 study of freely forming groups in bars all over Europe examined the natural behavior of groups. The researchers recorded the group size (number of individuals in the group) of all 501 groups in the study that were naturally laughing. The findings were displayed in the figure below. 300 Number of groups 250 200 O 52 O 2.7 0 2 150 3.5 4 100 50 0 254 2 Enter your answer here The median laughter group size in this study is 168 3 The mean laughter group size in this study is O 100.2 Enter your answer here 52 4 5 Laughter group size 21 6 6 Can we conclude from these findings that, in European bars in 2012, smaller groups were more likely than larger groups to be naturally laughing? Explain your statistical reasoning in one sentence.
Problem Solving. Solve the following problems. No immediate rounding. Round off final answers to three decimal places. A protective enchantment which alerts the Charms professor when a death eater attacks a magical school is designed to have a 90% reliability rate. Suppose that the nine magical schools equipped with this enchantment experienced an attack from the death eaters. Define the random variable X as the number of Charms professors alerted out of nine. Assuming that protective enchantment alerts are independent 1. Write down the associated PMF of X. 2. Compute for the probability of alerting at least 7 Charms professors.
A samll town installed a Blue streetlights, in part, to help reduce crime in particular areas. The city collected the number of property crimes along nine randomly selected streets in the month before and after the Blue light installation, and claims that crime has been reduced.The number of crime data is shown in the table. No before Blue Light After Blue Light 1 17 14 2 25 20 3 10 14 4 14 12 5 16 8 6 34 35 7 32 27 8 21 18 9 14 12 a. Specify the competing hypotheses to test the s,all town's claim.b. Calculate the value of the relevant test statistic and find the critical value at the 5% significance level.c. Does the evidence support the small town's claim at the 5% significance level?
2. Reporting on cheats What proportion of students are willing to report cheating by other students? A student project put this question to an SRS of 172 undergraduates at a large university: "You witness two students cheating on a quiz. Do you go to the professor?" Only 11% answered "Yes." The dotplot shows the proportion who would go to the professor in each of 1000 random samples of size 172 from a population where 11% would go to the professor. 17 0.1 0.15 0.2 0.25 Simulated sample proportion who would say "Yes" 0 0.05 Distribution of simulated proportion # samples 1000 mean 0.11 SD 0.024 (a) Use the results of the simulation to approximate the margin of error for Gallup's estimate of the proportion of U.S. adults who were satisfied with the way things were going in the United States at the time of the poll. (b) Interpret the margin of error.
NEED ANSWER ASAP
Mr Alsup asked the studentS in his third-and sixth-period English classes whether they had chosen a topic for thier writing assignment. he recorded the data in a two-way table, as shown below English class Yes No Total Third period 24 6 30 Sixth period 22 3 25 Total 46 9 55 if jannette in in mr alsup sixth-period english class what is the probablity that she has not chosen a topic for her writing assignment? a- 3% b- 5% c- 12% d-14%
When a student performs poorly on a midterm exam, the student sometimes is convinced that their score is an anomaly and that they will do much better on the final exam. The data below show the midterm and final scores (out of 100 points) for eight students in an introductory statistics class. Student Midterm Final 1 70 88 2 58 52 3 85 84 4 82 74 5 70 80 40 36 7 85 48 8 85 96 a) Construct a scatterplot for the data. Describe the pattern that you see in the scatterplot. Are there any clusters or outliers? If so, how would you explain them? b) Calculate the regression line for predicting a student's score on the final exam based on the student's score on the midterm.
Is there an association between hair color and body type? The table below shows the results of a researcher's observations of randomly selected people. Frequencies of Hair Colors for Various Body Types Blonde Brunette Red Head 71 80 96 108 55 115 46 91 Short and Slender Short and Pudgy Tall and Slender Tall and Heavy What can be concluded at the o= 0.01 significance level? 53 74 69 63

Recommended textbooks for you

MATLAB: An Introduction with Applications

Statistics

ISBN:

9781119256830

Author:

Amos Gilat

Publisher:

John Wiley & Sons Inc

Probability and Statistics for Engineering and th…

Statistics

ISBN:

9781305251809

Author:

Jay L. Devore

Publisher:

Cengage Learning

Statistics for The Behavioral Sciences (MindTap C…

Statistics

ISBN:

9781305504912

Author:

Frederick J Gravetter, Larry B. Wallnau

Publisher:

Cengage Learning

MATLAB: An Introduction with Applications

Statistics

ISBN:

9781119256830

Author:

Amos Gilat

Publisher:

John Wiley & Sons Inc

Probability and Statistics for Engineering and th…

Statistics

ISBN:

9781305251809

Author:

Jay L. Devore

Publisher:

Cengage Learning

Statistics for The Behavioral Sciences (MindTap C…

Statistics

ISBN:

9781305504912

Author:

Frederick J Gravetter, Larry B. Wallnau

Publisher:

Cengage Learning

Elementary Statistics: Picturing the World (7th E…

Statistics

ISBN:

9780134683416

Author:

Ron Larson, Betsy Farber

Publisher:

PEARSON

The Basic Practice of Statistics

Statistics

ISBN:

9781319042578

Author:

David S. Moore, William I. Notz, Michael A. Fligner

Publisher:

W. H. Freeman

Introduction to the Practice of Statistics

Statistics

ISBN:

9781319013387

Author:

David S. Moore, George P. McCabe, Bruce A. Craig

Publisher:

W. H. Freeman

SEE MORE TEXTBOOKS

eeping outlier: A simple random sample of nine college freshmen were asked how many hours of sleep they typically got per night. The results were 8 8.5 9 Send data to Excel 24 6.5 6 9.5 otice that one joker said that he sleeps 24 hours a day. 7.5 7.5