We are asked to evaluate a cell phone app for identifying poisonous plants. The app takes as input apicture of a plant, and classifies it as either poisonous or safe. We test the app with a large numberof plant pictures, and observe the following:• 1% of all pictures depict poisonous plants.• The app identifies 90% of the pictures showing poisonous plants correctly as poisonous.• Among all pictures showing safe plants, the app identifies 91.4% percent as safe.Suppose we choose a random picture, and the app identifies it as poisonous. What is the probabilitythat the depicted plant is safe?

We have to answer question related to Bayes theorem.

Answered: We are asked to evaluate a cell phone…

A First Course in Probability (10th Edition)

10th Edition

ISBN:9780134753119

Author:Sheldon Ross

Publisher:Sheldon Ross

Chapter1: Combinatorial Analysis

Section: Chapter Questions

Problem 1.1P: a. How many different 7-place license plates are possible if the first 2 places are for letters and...

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A substance abuse counselor wants to demonstrate the effect of situational stress on alcohol cravings. He recruits two groups of men who are similar in respect to history of alcohol use and demographic variables. He divides them in to two groups. In one group(n=11), the men are exposed to a stressful situation and then asked to complete a measure rating their alcohol cravings on a scale from 0-10, where 0 representsno cravings and 10 represents intense cravings. In the second group (n=10), the men are exposed to a neutral situation and asked to complete the same measure. What test and graph should I create to find out if a stressful situation result in more intense alcohol cravings than a non-stressful situation?
Suppose you work as a manager for a large clothing store. You are considering introducing a loyalty program to encourage customers to spend more at your store. Before rolling out your program to the public, you want to do a small experiment to estimate its effectiveness. You offer the loyalty program to 10 random customers, and also observed the sales of 27 random customers who did not get the program as a control group. The customers that were part of the loyalty program had average monthly sales of $302.57 and a sample standard deviation of $49.73. For the control group, the customers had an average monthly sales of $231.65 and a sample standard deviation of $67.88. * Given a 95% confidence interval critical value of t = 2.04, what is the upper bound (upper end) of a 95% confidence interval for the difference between two averages? Use (μloyalty program no loyalty program) for the order. Note: 1- Only round your final answer. Round your final answer to two decimal places.
It’s assumed that students need to stay awake more to study during finals week. One way to measure this is how much coffee is consumed during Finals week at night. A local coffee house near APU counted the number of cups of coffee sold per hour during Finals week after 6 p.m. We randomly select ten (10) hours of sales records during Finals week and find out that the following number of cups of coffee were consumed: 18, 17, 22, 14, 17, 20, 22, 24, 15, 15 By comparison, the sales records from a previous week were used as a comparison. The following number of cups of coffee were consumed over a seven (7) hour period: 9, 13, 5, 15, 17, 10, 11 a. Determine what is the appropriate statistical procedure, with a brief explanation (one sentence) as to why this is the appropriate procedure. b. State the null hypothesis. c. Execute the proper calculations with the appropriate procedures. d. Present a graph when appropriate of your results. e. Include any appropriate post-hoc tests. f. State…
The Bureau of Labor Statistics reports that the official unemployment rate for Black people was 10.4% and 4.7% for White people in February 2015. Select all correct answers for this question. O The samples of white and black people are independent. The explanatory variable is the unemployment rate. The response variable is the unemployment rate. The response variable is race.
By a small margin, Facebook remains the top choice of social media over all ages, with 29% using Facebook most often among those using social media sites. However, more visually oriented social networks such as Snapchat and Instagram continue to draw in younger audiences. When asked "Which one social networking brand do you use most often?" the results in the table show the top brands chosen by Americans aged 12-34 who currently use any social networking site or service. Social M edia Site Faceboo k Snapchat Instagra m Twitter Percentage That Use Most Often 29 28 26 6 20 (a) What is the sum of the percentages for these top social media sites? Give your answer as an exact number. Macmillan Learning top social media sites: What percent of Americans aged 12-34 use other social media sites most often? Give your answer as an exact number. other social media sites: do %
Some scientists believe that the sickle-cell trait lowers the risk of developing malaria. To explore this belief, 398 children in Africa were tested for the sickle-cell trait and malaria. The results are presented in Table 1 Test, at the 5% level of significance, whether there is an association between the sickle- cell trait and malaria. Step 1: Step 2: Step 3: Step 4: Step 5: Step 6:
The IRS is concerned with improving the accuracy of tax information given by its representatives over the telephone. Previous studies involved asking a set of 25 questions of a large number of IRS telephone representatives to determine the proportion of correct responses. Historically, the average proportion of correct responses has been 72 percent. Recently, IRS representatives have been receiving more training. On April 26, the set of 25 tax questions were again asked of 20 randomly selected IRS telephone representatives. The proportions of correct answers were: 21, 20, 19, 16, 22, 15, 21, 15, 17, 15, 24, 17, 24, 21, 18, 16, 23, 16, 21, and 20. a. What are the upper and lower control limits for the appropriate p-chart for the IRS? Use z = 3. The UCL, equals and the LCLp equals ☐ . (Enter your responses rounded to four decimal places. If your answer for LCLp is negative, enter this value as 0.)
According to the financial reports by Snapchat, the average daily user of Snapchat created 19 messages, or "snaps," per day in Q3 2017. A college student wants to find out if the number of Snapchat messages has changed since Q3 2017 and creates a random sample using information from students on her campus for the current semester, with the accompanying results. Complete parts a through Click the icon to view the daily snaps data. C. a. Using a = 0.01, test the hypothesis that the number of Snapchats sent by the average Snapchat user has not changed since Q3 2017. Determine the null and alternative hypotheses. Hot = 19 19 H₁: (Type integers or decimals. Do not round.) Determine the appropriate critical value. Select the correct choice below and fill in the answer box within your choice. (Round to three decimal places as needed.) O A. O B. -ta= OC. ±¹/2 t = t Daily Snaps G 22 13 9 18 15 33 8 23 27 27 22 31 20 16 19 33 31 5 Print 15 D 21 Done - X
A study compared the felt intensity of unrequited love among three groups - individuals who were currently experiencing unrequited love, those who had previously experienced unrequited love and described their experiences retrospectively, and those who had never experienced unrequited love but described how they thought they would feel if they were to experience it. The results of the study are summarized in the accompanying table. Determine the significance of the difference among groups, using the 5% level. N 40 40 40 M 3.5 3.3 3.7 S2 5.3 5.8 4.8 1. What is th null hyp? 2.The comparison distribution will be an F distribution with df= ? and df=? 3.Determine the cutoff sample score on the comparison distribution at which the null hypothesis should be rejected for the data. At 0.05 the cutoff for F=? 4. Determine the sample's score on the comparison distribution for the data. F=?
A scientific study was conducted to determine the hours of sleep that college students get per night. The study surveyed 33 college students and obtained the following data: 7.8, 8.1, 5.9, 7.1, 6.9, 8.5, 7.8, 6.2, 6.2, 7.2, 7.1, 7.3, 6.4, 8.3, 7.9, 6.6, 7.4, 6.8, 6.7, 7.2, 5.6, 8.3, 6.6, 6, 5, 7.7, 7, 6.6, 7.8, 6.3, 7.8, 6.3, 7.1 Construct a 87% confidence interval for the average hours of sleep per night that college students get. S = τα Margine of Error: E = hours We are 87% confident that college students get an average of between hours of sleep per night. and Question Help: D Post to forum ||
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Ask a Question | bartleby Karnataka Board Class 11th Stat × Karnataka Board Class 11th Stat × + I selfstudys.com/books/karnataka/state-books/class-11th/statistics/statistics-part-1/328854 34. In a sample study regarding smoking habit in a town, the following data were obtained: Men population = 58% Smokers = 22% Men smokers = 18% 1 Tabulate the above data. Join Whatsapp For Exclusive Content Search 89/100 myhp Join Telegram For Exclusive Content 0 1 x 21:58 ENG IN 20-08-2024 PRE

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