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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South Dakota prices vary $350,000: $400,000:$400,000:$425,000:$429,000: $440,000: $560,000: $585,000,: $585,000: $785,000 : $1,300,000. We found the following Mean = 569000 SD = 272703.1353 T score = .7113 P Value = .4932 CI: 385795.5409,752204.4591 If you had a margin of error of $13,000 how large of sample would you need with a 90% confidence interval using the given tscore.
A researcher is interested in exploring the relationship between calcium intake and weight loss. Two different groups, each with 2626 dieters, are chosen for the study. Group A is required to follow a specific diet and exercise regimen, and also take a 500-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 10.4 pounds with a standard deviation of 2.6 pounds. The members of Group B had lost a mean of 11.7pounds with a standard deviation of 2.8 pounds during the same time period. Assume that the population variances are not the same. Construct a 99% 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 500-mg supplement of calcium each day, and let Population 2 be…
Consider the following two sample data sets. Set 1: 7 5 3 8 9 Set 2: 8 13 14 2 5 a. Calculate the coefficient of variation for each data set. b. Which data set has less consistency (or more variability)?
A scientist wants to examine factors that may be related to cancer. The scientist believes that differences in age at death that will be found when determining what type of smoker a person was (pipe smoker, cigar smoker, cigarette smoker, or nonsmoker) but he also thinks it is important to consider the extent of smog in the person’s environment. For this new extended study, the people in the sample are divided up into those who lived in areas with heavy smog and those who lived in areas that were relatively free from smog. Smoking habit remains the other independent variable, and the dependent variable remains age at death. The new question of major interest to the scientist is whether the pattern of differences in age at death attributed to smoking habits would be influenced by whether people lived in smog-filled environments. What is the appropriate statistic? a. Dependent groups t-test b. Phi Coefficient c. Point Biserial r d. t-test for r > 0…
Bank of America's Consumer Spending Survey collected data on annual credit card charges in seven different categories of expenditures: transportation, groceries, dining out, household expenses, home furnishings, apparel, and entertainment. Using data from a sample of 42 credit card accounts, assume that each account was used to identify the annual credit card charges for groceries (population 1) and the annual credit card charges for dining out (population 2) Using the difference data, the sample mean difference was d = $850, and the sample standard deviation was så = $1,123. a. Formulate the null and alternative hypotheses to test for no difference between the population mean credit card charges for groceries and the population mean credit card charges for dining out. Ho : μα ♦ Select your answer - Ha d + - Select your answer - b. Use a = = 0.05 level of significance. Can you conclude that the population means differ? - Select your answer - ◆ What is the p-value? (to 6 decimals) c.…
Please answers questions a through d. Thank you!
Bank of America's Consumer Spending Survey collected data on annual credit card charges in seven different categories of expenditures: transportation, groceries, dining out, household expenses, home furnishings, apparel, and entertainment. Using data from a sample of 42 credit card accounts, assume that each account was used to identify the annual credit card charges for groceries (population 1) and the annual credit card charges for dining out (population 2). Using the difference data, the sample mean difference was d = $850, and the sample standard deviation was Sd = $1,123. a. Formulate the null and alternative hypotheses to test for no difference between the population mean credit card charges for groceries and the population mean credit card charges for dining out. Hoμd Haμd - Select your answer - - Select your answer - b. Use a 0.05 level of significance. Can you conclude that the population means differ? - Select your answer - ✓ What is the p-value? (to 6 decimals) c. Which…
In a study of computer use, 1000 randomly selected Canadian Internet users were asked how much time they spend using the Internet in a typical week. The mean of the sample observations was 12.6 hours.
A survey collected data on annual credit card charges in seven different categories of expenditures: transportation, groceries, dining out, household expenses, home furnishings, apparel, and entertainment. Using data from a sample of 42 credit card accounts, assume that each account was used to identify the annual credit card charges for groceries (population 1) and the annual credit card charges for dining out (population 2). Using the difference data, with population 1– population 2, the sample mean difference was d = $870, and the sample standard deviation was s,= $1,125. (a) Formulate the null and alternative hype to test for no difference between the population mean credit card charges for groceries and the population mean credit card charges for dining out. 0> Prt :°H 0 = Pri :ºH O O Ho: Hdso H: H=0 (b) Calculate the test statistic. (Round your answer to three decimal places.) What is the p-value? (Round your answer to four decimal places.) Can you conclude that the population…
Students at a major university in Southern California are complaining about a serious housing crunch. They are stating that many of the university's students have 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, contains the following histogram summarizing the commute distances for a sample of 100 students at the university. Relative frequency 0.3+ 0.2- 0.1+ 0.0 0 0.24 4 0.26 0.18 0.14 8 12 16 Commute distance (in miles) X 0.12 20 0.06 24 Based on the histogram, find the proportion of commute distances in the sample that are greater than or equal to 20 miles. Write your answer as a decimal, and do not round your answer.
The researchers hypothesised that people who receive an audiovisual presentation will have a different mean level of recall of ad information as those who receive only the visual aspects of the ad. What significance test should the researchers use for testing their hypothesis?
A researcher is looking into the price of round trip airline tickets between LA and NY. The five number summary for the data sets provided below: 1. 240 2.$3753.$ 450 4. $657 5. $890 Complete the following: 1. Interpret the value of the third quartile in a contextualized sentence: Blank (answer options: 25%, 50%, at least 50, at least 25, at least 75, 75%) of _(answer iptions: airline tickets, round trip airline tockets between LA and NY, the price of an airline ticket between Ny and La) are priced_(375 or less, 657, 450, 375, 657, 450) 2. Determine if a ticker priced at 1200 would be an outlier. A ticker priced at 1200 ( answer options: would, eould not) be considered an iutlier because 1200 is (within, not within)_(the interval 93 and 939, the interval -48 and 1080, within 3 sd's of the mean, two standard deviations of the mean)

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