For Problems #1 through #15, consider the following context: The farmers at Olde Port Orchards grow a number ofvarieties of apples, including Royal Gala, Golden Delicious, Honey Crisp, Pink Lady, and Red Delicious. Patrons atthe farm's various fall harvest festivals can select one apple on their way off the property as a takeaway treat. Themanagement wonders if the apple varieties selected comparably by festival patrons. A simple random sample ofrecent selections by festival patrons was as follows:Royal GalaGolden DeliciousHoney CrispPink LadyRed Delicious4654503268Make no assumptions about the underlying distribution. Test the claim at the 1% level of significance.Item #2: What is the most appropriate statistical inferential analysis?large sample hypothesis testing, population standard deviation knownsmall sample hypothesis testing, population standard deviation unknowncorrelation analysisregression analysisone-way or single-factor ANOVAtwo-way ANOVAmatched pair dependent sample hypothesis testingchi-square goodness of fit testingO O O OO O

The categorical variable is Variety of apple. A sample of 5 observations is given. The sample size…

Answered: For Problems #1 through #15, consider…

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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In the Focus Problem at the beginning of this chapter, a study was described comparing the hatch ratios of wood duck nesting boxes. Group I nesting boxes were well separated from each other and well hidden by available brush. There were a total of 489 eggs in group I boxes, of which a field count showed about 272 hatched. Group II nesting boxes were placed in highly visible locations and grouped closely together. There were a total of 821 eggs in group II boxes, of which a field count showed about 262 hatched. (a) Find a point estimate p̂1 for p1, the proportion of eggs that hatch in group I nest box placements. (Round your answer to four decimal places.) p̂1 = Find a 95% confidence interval for p1. (Round your answers to three decimal places.) lower limitupper limit (b) Find a point estimate p̂2 for p2, the proportion of eggs that hatch in group II nest box placements. (Round your answer to four decimal places.) p̂2 = Find a 95% confidence interval for p2. (Round your…
The table below shows the result of a survey of 175 people that asked their age and the type of vacation they were planning. The ages were divided into groups. Age/Vacation Age 18 - 25 Age 26 - 35 Age 36 - 45 Age 46 - 64 Age 65 and up Total Beach 20 15 15 15 0 65 Mountains 10 15 10 10 15 60 Historic 5 5 10 15 15 50 Total 35 35 35 40 30 175 Using the table at the bottom of problem 14 in the exercise set for section 1.1, what is the probability that a person vacations at a Historic location or the mountains? Give answer as a fraction, NOT a percent.
Rita has two ways to travel from her home in Norco to her office in Los Angeles. One is to go via the 10 Freeway, and the other is to go via 60 Freeway. In order to determine which way she should travel on a daily basis, Rita has recorded the travel times for samples of twelve trips via the 10 Freeway and twelve trips via the 60 Freeway. The following table gives the travel times (in minutes) for the twenty-four trips. Travel times in minutes 10 Freeway 66, 70, 73, 71, 72, 71, 65, 74, 69, 71, 75, 71 60 Freeway 77, 72, 71, 68, 74, 80, 70, 78, 76, 71, 68, 67 Assume that the two populations of travel times are normally distributed and that the population variances are equal. Can we conclude, at the 0.01 level of significance, that the mean travel time via the 10 freeway, μ1, is different from μ2, the mean travel time via the 60 freeway? Perform a two-tailed test. Then complete the parts below. Carry your intermediate computations to three or more decimal places and…
For Problems #1 through #6, consider the following context. The Pinelands Perks Coffee Shop at Pinelands General Hospital recently monitored its late morning customer counts. A random sample of counts on randomly selected days yielded the following number of pre-lunch but definitely post breakfast customers: 24 25 29 30 38 38 39 41 42 43 43 44 52 53 57 60 After computing the most democratic measures of center and spread for this data collection, preferably using technology to minimize manual calculations, and rounding off to the nearest whole unit if necessary, complete the following statement: On average, the Pinelands Perks Coffee Shop serves exactly [#4] customers daily just prior to lunch, give or take approximately [#5] customers. Record your response to Item #4 here; report your answer precisely, including only the numerical value without unit or labels.
Problem 3. A state nonprofit organization wanted to encourage its members to consider the State of New York as a vacation destination. They are investigating whether their online ad campaign influenced its members to plan a vacation in New York within the next year. The organization surveyed its members and the result is displayed in the following table. Plan to Vacation Do Not Plan to Vacation Total Watched the Ad .36 .40 .76 Did Not Watch the Ad .11 .13 .24 Totals .47 .53 1.00 Here are the events of interest: W: Watched the online ad V: Plan to vacation in New York within the Next Year Find the appropriate probabilities for these events: a. W b. V c. WnV d. WUV e. Vc f. (WnV)e g. (WUV)e h. (WCUV)e i. V given that W has occurred 1. W given that V has occurred
[6] – Statistics Scenario #1A dog enthusiast wanted to see if there was a difference in pit-bull ownership between people in Arcata and Eureka. They obtained a list of registered dog owners from the city of Eureka and the city of Arcata, then they randomly selected people from each list until they had 150 responses from Arcata and 150 responses from eureka. The total number of people from Arcata who reported having a pit-bull was 33. The total number from Eureka was 40 (c) Was the researchers sampling method biased, if so, what kind of bias?(d) Is the data qualitative, quantitative continuous, or quantitative discrete? e) What statistical test should be performed to test the hypothesis?
Use these data for problems 2 to 28. The remaining problems do not use these data. The city of Touristville has 87 hotels. The Touristville Tourist Bureau gives each hotel a rating of one to five stars based on the quality and kinds of services offered. A potential tourist wanted to see if there was a relatiorship between the price of the hotels and the number of rooms in the hotel. The tourist did not have time to collect data from all the hotels, so a sample was taken. The results are shown in the table below. Hotels in Touristville Hotel Stars Price Rooms Holiday 3 100 40 Marrian 4 125 60 Lowett 2 75 30 Ritzy 200 20 Sheridan 3 75 80 Hilty 4 125 80 Basic 50 20 Motel 8 1 100 30 Cobb 2. 100 10 Queens 2 50 130 Which term describes the variable Price in the sample? O Multi-Modal O No mode O Uniform O Unimodal O Bimodal Question 17 Calculate the median number of Rooms of the hotels in the sample. Question 18 Calculate the sample standard deviation of Price. What is the correct symbol used…
The Women’s Institutional Studies group at a Midwestern university wanted to compare the percentages of female faculty members in the various units on campus in Spring 2004. Of particular interest were the percentages of female faculty in the College of Education and in the College of Business . In a sample of 80 College of Education faculties, there were 36 females, and in a sample of 70 College of Business faculties, there were 15 females. Based upon this sample information, which of the following is the 98% confidence interval for the difference in the actual percentages of female faculty between College of Education and College of Business ? a. (0.075, 0.405). b. (0.123, 0.357). c. (-0.012, 0.252). d. (0.058, 0.422). e. (0.101, 0.379).
Problem: In a sample study about coffee habit in two towns, the following information was received: Town A: Females were 40%; Total coffee drinkers were 45% and male non-coffee drinkers were 20%. Male non-coffee drinkers were 30% and female coffee Town B: Males were 55%; drinkers were 15%. Represent the above data in a tabular form.
A friend who lives in Los Angeles makes frequent consulting trips to Washington, D.C.; 60% of the time she travels on airline # 1, 20% of the time on airline on airline # 3. For airline #1, flights are late into D.C. 40% of the time and late into L.A. 15% of the time. For airline #2, these percentages are 35% and 10%. If we learn that on a particular trip she arrived late at exactly one of the two destinations, and # 3? Assume that the chance of a late arrival in L.A. is unaffected by what happens on the flight to D.C. [Hint: second-generation branches labeled, respectively, 0 late, 1 late, and 2 late.] (Round your answers to four decimal airline #1 airline #2 airline #3 20% of the time whereas #2, and the remaining percentages for airline #3 the what are flown on airlines From the tip of each first-generation branch on a tree diagram, draw three places.) the posterior of having #1, #2, and 15%, probabilities are 35%
In the Focus Problem at the beginning of this chapter, a study was described comparing the hatch ratios of wood duck nesting boxes. Group I nesting boxes were well separated from each other and well hidden by available brush. There were a total of 475 eggs in group I boxes, of which a field count showed about 274 hatched. Group II nesting boxes were placed in highly visible locations and grouped closely together. There were a total of 796 eggs in group II boxes, of which a field count showed about 274 hatched. (a) Find a point estimate p1 for P1, the proportion of eggs that hatch in group I nest box placements. Find a 99% confidence interval for p1. (Use 3 decimal places.) P1 lower limit upper limit (b) Find a point estimate p2 for p2, the proportion of eggs that hatch in group II nest box placements. Find a 99% confidence interval for p2. (Use 3 decimal places.) lower limit upper limit (c) Find a 99% confidence interval for p1 – P2. (Use 3 decimal places.) lower limit upper limit Does…
Anita's, a fast-food chain specializing in hot dogs and garlic fries, keeps track of the proportion of its customers who decide to eat in the restaurant (as opposed to ordering the food "to go"), so it can make decisions regarding the possible construction of in-store play areas, the attendance of its mascot Sammy at the franchise locations, and so on. Anita's reports that 45% of its customers order their food to go. If this proportion is correct, what is the probability that, in a random sample of 5 customers at Anita's, exactly 3 order their food to go?

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