testing with alpha= 0.05 advertised claim for batteries for cell phones is set at 48 operating hours, with propercharging procedures. A study of 5000 batteries is carried out and 15 of them stop operating prior to 48hours. Do these experimental results reject the claim that no more than 0.2 percent of the company'batteries will fail during the advertised time period, with proper charging procedures? Use a hypothesis.testing

For the given data Perform Z test for one proportion

Answered: advertised claim for batteries for cell…

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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When the Titanic sank, passenger survival rates were recorded along with additional information like their name, what class ticket they had, their age, and whether or not they had children. Some of these factors may predict whether or not a passenger was likely to survive the accident. The data set "Titanic survival.jasp" contains actual recorded data from the event. Using the variables "Class" and "Survived", conduct a Chi-Square Test for Independence, at alpha = 0.05, to see if a passengers ticket class (first, second, or third class) is significantly associated with their survival rates. What is the value of X2-crit? A. 127.86 B. 1309 C. 7.38 D. 5.99
[STATISTICS] How do you find Beta 1? Data set: https://docs.google.com/document/d/18i0t_5Epc5KbGW5X659fLQID0zEOSIZIFMOIgHqEuos/edit?usp=sharing
Heights (cm) and weights (kg) are measured for 100 randomly selected adult males, and range from heights of 139 to 194 cm and weights of 39 to 150 kg. Let the predictor variable x be the first variable given. The 100 paired measurements yield x= 167.63 cm, y = 81.47 kg, r=0.106, P-value = 0.294, and y = - 108 + 1.04x. Find the best predicted value of y (weight) given an adult male who is 172 cm tall. Use a 0.05 significance level. The best predicted value of y for an adult male who is 172 cm tall is kg. (Round to two decimal places as needed.)
Estimated Speed Smashed into hit n = 16 n = 16 M = 40 M = 34 SS = 510 SS = 414 Use a one-tailed test with α = .01. The t-statistic is
If I change the alpha level from 0.05 to 0.01 The probability of a Type 1 error goes down The probability of a Type 2 error goes up a not b a and b
When the Titanic sank, passenger survival rates were recorded along with additional information like their name, what class ticket they had, their age, and whether or not they had children. Some of these factors may predict whether or not a passenger was likely to survive the accident. The data set "Titanic survival.jasp" contains actual recorded data from the event. Using the variables "Class" and "Survived", conduct a Chi-Square Test for Independence, at alpha = 0.05, to see if a passengers ticket class (first, second, or third class) is significantly associated with their survival rates. Identify the correct value for df. A. 2 B. 1309 C. 4 D. 127
PART D) Find the critical value. (Round to three or more decimal places.) ANSWER:
Cant figure out part C
People were polled on how many books they read the previous year. Initial survey results indicate that s = 16.1 books. Complete parts (a) through (d) below. Click the icon to view a partial table of critical values. (a) How many subjects are needed to estimate the mean number of books read the previous year within six books with 95% confidence? This 95% confidence level requires 28 subjects. (Round up to the nearest subject.) (b) How many subjects are needed to estimate the mean number of books read the previous year within three books with 95% confidence? This 95% confidence level requires subjects. (Round up to the nearest subject.)
afproximate Oci9nt decima
Heights (cm) and weights (kg) are measured for 100 randomly selected adult males, and range from heights of 138 to 190 cm and weights of 40 to 150 kg. Let the predictor variable x be the first variable given. The 100 paired measurements yield x = 167.88 cm, y = 81.51 kg, r=0.195, P-value = 0.052, and y= - 105 + 1.05x. Find the best predicted value of y (weight) given an adult male who is 184 cm tall. Use a 0.01 significance level. The best predicted value of y for an adult male who is 184 cm tall is kg. (Round to two decimal places as needed.)

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