Carekin G=escaltO DESCRIPTIVE STATISTICSApproximating the mean of a data set given a histogram!Frequency^25-120-Students at a major university in Southern California are complaining about a serious housing crunch. They are stating that many of the university's studentshave to commute too far to school because there is not enough housing near campus. The university officials' response is to perform a study. The study,reported in the school newspaper, features the following histogram summarizing the commute distances for a sample of 72 students at the university.1510-5-0.00ExplanationQAPremier Membership Upgrade21N@4221Based on the histogram, estimate the mean commute distance (in miles) for the students in the sample. Carry your intermediate computations to at least fourdecimal places, and round your answer to at least one decimal place.F2WCheckS81216Commute distance (in miles)143#XHX20F37ED$414$0000005Answered: The monthly salariesF4R20F%524VF5www-awu.aleks.comTGA6MacBook AirBF6Mathway (Precalculus Problem MY&7H44 F7UN*8J2023 McGraw Hill LLC. All Rights Reserved. Terms of Use | Privacy Center 1 AccessibilityF8M▶0000 3/5I9KF9O10LF104)PAG:F F11188apH+alt=ALEKS-111B?NadEE▸100--8

Answer:- The frequency histogram given below, Using formula, Mean = [∑(f*x)]/n

Answered: Students at a major university in…

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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The Federal Bureau of Investigation (FBI), as part of its internal security mission, serves as a database for all the reported crimes committed in the United States. One question that might be of interest is does having more police officers reduce the number of homicides? To investigate this claim, the 2013 data from the twenty largest municipal cities was supplied by the FBI's Uniform Crime Report. Below are two observations from the dataset: > head (cities) City Pop Homicides Police Density MedHome Mayor 1 New York 8175.133 335 4.2595 27016.30 5.5390 1 2 Chicago 2695.598 414 4.4309 11843.58 1.8310 The variables included in the study are: Name of city Population of city in 1,000s of people Number of homicides in the year 2013 Number of police officers per 1,000 people Number of people per square mile Median home price in $100,000 1 if city has a "Strong Mayor" form of government; 0 if not City Рор Homicides Police Density MedHome Мayor Model: log(u;) = Bo + B1Police; + B2MedHome; +…
A researcher is interested in exploring the relationship between calcium intake and weight loss. Two different groups, each with 2828 dieters, are chosen for the study. Group A is required to follow a specific diet and exercise regimen, and also take a 500500-mg supplement of calcium each day. Group B is required to follow the same diet and exercise regimen, but with no supplemental calcium. After six months on the program, the members of Group A had lost a mean of 15.215.2 pounds with a standard deviation of 2.52.5 pounds. The members of Group B had lost a mean of 12.312.3 pounds with a standard deviation of 1.91.9 pounds during the same time period. Assume that the population variances are not the same. Construct a 95%95% confidence interval to estimate the true difference between the mean amounts of weight lost by dieters who supplement with calcium and those who do not. Let Population 1 be the amount of weight lost by Group A, who took a 500500-mg supplement of calcium each day,…
3.
John Calipari, head basketball coach for the 2012 national champion University of Kentucky Wildcats, is the highest paid coach in college basketball with an annual salary of $5.4 million (USA Today, March 29, 2012). The sample below shows the head basketball coach's salary for a sample of 10 schools playing NCAA Division 1 basketball. Salary data are in millions of dollars. University Coach’s Salary University Coach’s Salary Indiana 2.2 Syracuse 1.5 Xavier .5 Murray State .2 Texas 2.4 Florida State 1.5 Connecticut 2.7 South Dakota State .1 West Virginia 2.0 Vermont .2 a. Use the sample mean for the 10 schools to estimate the population mean annual salary for head basketball coaches at colleges and universities playing NCAA Division 1 basketball (to 2 decimals). b. Use the data to estimate the population standard deviation for the annual salary for head basketball coaches (to 4 decimals).
Which of the following is not a common data source? A. Customer Surveys B. Social Media Platforms C. Website Traffic Logs D. Key Performance Indicators (KPIs)
Consider that in a retrospective cohort study involving job type and heart disease among railroad workers, the following data was obtained. Note that job type was used as a surrogate marker for physical activity. Clerks have a sedentary job whereas track workers have a physically demanding job. Heart Disease Job type yes no Clerk 50 500 Tracks worker 22 390 What is the measure of association
Many people now turn to the internet to get information on health-related topics. A research article used Flesch reading ease scores (a measure of reading difficulty based on factors such as sentence length and number of syllables in the words used) to score pages on Wikipedia and on WebMD. Higher Flesch scores correspond to more difficult reading levels. The paper reported that for a representative sample of health-related pages on Wikipedia, the mean Flesch score was 26.3 and the standard deviation of the Flesch scores was 14.3. For a representative sample of pages from WebMD, the mean score was 43.3 and the standard deviation was 19.6. Suppose that these means and standard deviations were based on samples of 40 pages from each site. Is there convincing evidence that the mean reading level for health-related pages differs for Wikipedia and WebMD? Test the relevant hypotheses using a significance level of 0.05. (Use ₁ for Wikipedia and #₂ for WebMD.) State the appropriate null and…
In the United States, standardized testing is used to compare students' knowledge retention across the country. States will often use the results of standardized testing to allocate funding to districts within the state. One state in particular wanted to determine whether there was a difference in scores between schools on the eastern side of the state and schools on the western side of the state. A random sample of 30 schools on the eastern side and 35 schools on the western side were chosen. The mean score for the eastern schools was x1 = 109 with a standard deviation of 5.3. The mean score for the western schools was x2 = 104 with a standard deviation of 4.4. We would like to estimate the difference in the mean standardized scores from the eastern schools and western schools and determine the margin of error of this estimate with 98% confidence. (a) Determine the point estimate for the difference in mean standardized scores for the eastern and western sides of the state, ?1 −…
2. Half of Oxnard College students are younger than 21 years old, and half of students are older than 21 years old. This would make 21 the ________ of this data set. Group of answer choices Mode Median Inter-Quartile Range (IQR) Mean
Many freeways have service (or logo) signs that give information on attractions, camping, lodging, food, and gas services prior to off-ramps. These signs typically do not provide information on distances. An article reported that in one investigation, six sites along interstate highways where service signs are posted were selected. For each site, crash data was obtained for a three-year period before distance information was added to the service signs and for a one-year period afterward. The number of crashes per year before and after the sign changes were as follows. Before: 14 29 62 123 64 62 After: 15 27 41 84 76 71 (a) The article included the statement "A paired t test was performed to determine whether there was any change in the mean number of crashes before and after the addition of distance information on the signs." Carry out such a test. [Note: The relevant normal probability plot shows a substantial linear pattern.] State and test the appropriate hypotheses. (Use a = 0.05.)…
A contributor for the local newspaper is writing an article for the weekly fitness section. To prepare for the story, she conducts a study to compare the exercise habits of people who exercise in the morning to the exercise habits of people who work out in the afternoon or evening. She selects three different health centers from which to draw her samples. The 57 people she sampled who work out in the morning have a mean of 4.8 hours of exercise each week. The 56 people surveyed who exercise in the afternoon or evening have a mean of 4.2 hours of exercise each week. Assume that the weekly exercise times have a population standard deviation of 0.8 hours for people who exercise in the morning and 0.3 hours for people who exercise in the afternoon or evening. Let Population 1 be people who exercise in the morning and Population 2 be people who exercise in the afternoon or evening. Step 1 of 2: Construct a 95 % confidence interval for the true difference between the mean amounts of time…

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