1. A soft-drink manufacturer purchases aluminum cans from an outside vendor. A random sample of 80cans is selected from a large shipment, and each is tested for strength by applying an increasing loadto the side of the can until it punctures. Of the 80 cans, 66 meet the specification for punctureresistance.a. Find a 95% confidence interval for the proportion of cans in the shipment that meet the specification.Round the answers to three decimal places.b. Find a 90% confidence interval for the proportion of cans in the shipment that meet the specification.Round the answers to three decimal places.c. If a 90% confidence interval is computed each day for 300 days, what is the probability that more than280 of the confidence intervals cover the true proportions? Round the answer to three decimal places.

Given Information: A sample size of 80 cans is selected from a large shipment. Each can is tested…

Answered: 1. A soft-drink manufacturer purchases…

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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Hershey Kiss Weight in Oz. 1 Jason, a Quality Process Engineer for Hershey Chocolates, pulled 16 random kisses from production and recorded their weights as shown. Jason uses the production number for each kiss in production to ensure that all of the kisses in production have an equal chance of being selected in his random number generator. .1618 .1607 .1613 A: Calculate a point estimate, x, for the population mean, u. .1607 .1610 1611 1609 .1597 .1586 .1604 B: Construct and interpret a 95% CI (Confidence Interval) for u. .1607 (Hint: Use s from your calculator's descriptive statistics.) .1606 1611 .1620 .1610 .1609 C: Construct and interpret a 99% CI (Confidence Interval) for µ.
A. Find the first quartile B. Find the 2nd quartile C. Find the 3rd quartile
O Macmillan Learning Many young men in North America and Europe (but not in Asia) tend to think they need more muscle to be attractive. One study presented 200 young American men with 100 images of men with various levels of muscle. Researchers measure level of muscle in kilograms per square meter of body surface area (kg/m²). Typical young men have about 20 kg/m². Each subject chose two images, one that represented his own level of body muscle and one that he thought represented "what women prefer." The mean gap between self-image and "what women prefer" was 2.35 kg/m². Suppose that the "muscle gap" in the population of all young men has a Normal distribution with standard deviation 2.5 kg/m². Give a 90% confidence interval for the mean amount of muscle young men think they should add to be attractive to women. (They are wrong: women actually prefer a level close to that of typical men.) Give your answers to four decimal places. lower limit: upper limit: Chi-Fu Jeffrey Yang, Peter…
Lecture(8.4): Researchers were interested in whether the number of books children carried differed between gender. It was hypothesized that girls would carry more books than boys.Twenty children were recruited and matched based on age and SES..Researchers then collected the number of the age of the appropiate books the children carried. A Summary of the result is given below: Girls 15 7 22 13 26 14 12 11 18 30 Boys 12 10 16 8 17 9 15 10 20 15 Test the hypotheses at (alpha=0.05) level of signifance
Data on the price ($1000s) and the size (1000 ft2 sqaured) for 156 randomly selected houses that have been sold is summarized in the accompanying regression output and plots. Complete parts a and b a) Check the assumptions and conditions for inference. Select all that apply. A. The residuals look random. B. The residuals are nearly normal. C. The scatterplot looks straight enough. D. The residual plot and the scatterplot show consistent variability. E. None of the assumptions and conditions for inference are satisfied.
A researcher want to know if there is a relationship between sleep and anxiety. The researcher randomly selected n = 5 participants and asked each to rate their sleep quality and anxiety level on a scale of 1 to 5. The data are below: Sleep X Anxiety Y 2 2 3 3 2 2 4 2 5 2 Calculate Pearson's r
1.) Write your solution A. Determine the 1" quartile, 2 quartile, 3rd quartile and interquartile range (IQR), given the scores of; 11, 24, 23, 11, 13, 17, 15, 19, 21, then interpret each of your answer. B. Solve for the Percentile Rank of 17.

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