**Study on Pain Relievers**In a study of pain relievers, 50 people were given product A, and all but 15 experienced relief. In the same study, 25 people were given product B, and all but 5 experienced relief.**Activity: Analyzing Study Results**Fill in the blanks below to make the most reasonable statement possible based on the data.- Product [Choose one: A/B] performed better in the study. That is because only ____% failed to get relief with this product, whereas ____% failed to get relief with Product [Choose one: A/B]. Use the information provided to determine which product had a higher success rate in providing relief to participants.

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Answered: In a study of pain relievers, 50 people…

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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Athletes performing in bright sunlight often smear black eye grease under their eyes to reduce glare. Does eye grease work? In one study, 16 student subjects took a test of sensitivity to contrast after three hours facing into bright sun, both with and without eye grease. (Greater sensitivity to contrast improves vision, and glare reduces sensitivity to contrast.) This is a matched pairs design. The differences in sensitivity, with eye grease minus without eye grease, are given in the table. 0.07 0.64 −0.12 −0.05 −0.18 0.14 −0.16 0.03 0.05 0.02 0.43 0.24 −0.11 0.28 0.05 0.29 Click to download the data in your preferred format. CSV Excel JMP Mac-Text Minitab14-18 Minitab18+ PC-Text R SPSS TI CrunchIt! How much more sensitive to contrast are athletes with eye grease than without eye grease? Give a 95% confidence interval to answer this question. Give your answers to four decimal places. lower bound: upper bound:
Suppose P(A) = .5 and P(B) = .3 and A andB are independent. What is P(A and B)? %D %3D
During one month, a blood donation center found that 45.5% of the donors had the A antigen. 14.5% of the donors had the B antigen. 4.6% of the donors had the A antigen and the B antigen. 84.6% of the donors were Rh+. 87.8% of the donors had the B antigen or were Rh+. (a) Find the percent of donors that have the A antigen or the B antigen. 55.4 % (b) Find the percent of donors that have the B antigen and are Rh+. ?
Suppose that 75%75% of college students prefer pepperoni on their pizzas. You took a sample of ?=150n=150 at your college and found that 70%70% said they want pepperoni on their pizzas. You want to know if your college is different from the rest at the 10%10% level. What is the ?P‑value for this test?
Consider a medical test with a false positive rate of 1% and a false negative rate of 2%. The frequency of the condition in people who take this test is 3% Q4. If this test was given to 100,000 healthy people, how many false diagnoses would there be? Q5. What is the overall percentage of people who test "positive" who are actually negative for the condition? Q6. What is the overall percentage of people who test "negative" who are actually positive for the condition? # wrong diag. = ??? % pos. = ??? % % pos. = ??? %
1) A consumer research company wants to estimate the average cost of an airline ticket for a round trip from New York to Los Angeles. A random sample of 50 airfares had an average price of $438. Identify the variable. (a) Simple random sample (c) Consumer research company (b) Airline fare (d) City e) $438
A certain affects virus 0.4% of the population (in a population of 100,000 people, 400 will be infected with the virus). A test used to detect the virus in a person is positive 87% of the time if the person has the virus (true positive) and it is positive 14% of the time if the person does not have the virus (false positive). Fill in the remainder of the following table and use it to answer the questions below. Infected Not Infected Total Positive Test Negative Test Total 400 99,600 100,000
Psychologists at Disney World measured factors that affect the scariness of the soundtrack for their Haunted House ride. In particular, they were interested in the loudness of the screams (soft versus loud) and the length of the screams (short versus long). They used a 2 × 2 factorial design to test how these factors combined. They collected data from 10 different riders in each of the four conditions. Each rider rated the scariness of the ride on a nine-point scale. short screams long screams soft screams T=38, n = 10, SS = 13.6 T=64, n = 10, SS = 22.4 loud screams T=52, n=10, SS = 29.6 T=50, n=10, SS = 16.0 For these data: G = 204, N = 40, X2 = 1156. 1. Sketch a dataplot of the mean rating in each condition. 2. Calculate SS total, the total sum of squares 3. Calculate SSwithin, the within-treatments sum of squares. 4. Calculate SSbetween, the between-treatments sum of squares. 5. Calculate SSA the sum of squares for Factor A (length of scream). 6. Calculate SSB, the sum of squares…

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