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A central university has a student population of 60,000. The university is interested in determining what proportion of them is in favour of a new grading system. Determine a sample size with confidence level of 95% that will show the true proportion of population in favour of the new system within plus and minus 0.02.
use Microsoft excel, as your graphing calculator, or the binomial probability formula to calculate the probibilities of the following events. Event A: The probability that you will have to oay out exactly $20.
The total blood cholesterol concentrations, in mg/dL, are shown below for a random sample of six people. In the table below, x is the age of the subject and y is the subject's total cholesterol concentration. Find the 95% prediction interval when ..
When water taxi sank in the Baltimore Inner Harbor, an investigation revealed that the safe passenger load for water taxi was 3500 lbs. It was also noted that the mean weight of passenger was assumed to be 140 lbs.
Assume that the process is in control and that the population of all jar fills is normally distributed. (Round the z-values to 2 decimal places and final answer to 4 decimal places. Negative amounts should be indicated by a minus sign.)
Calculate the population mean margin of error for a 90% confidence interval when sigma is 4 and sample size is 36. Standard IQ test has mean of 98 and standard deviation of 16.
Test whether the mean rate is less than 6%. Use P-value approach.
This activity is a revision of an activity found in Real Data: A Statistics Workbook Based on Empirical Data by Z. C Holcomb (1997). Published by Pyrczak Publishing.
Draw the standard normal distribution, label the axis, locate both z-scores on the axis (z7 = -1.5, z15 = 2.5), and shade an area equal to the probability that a randomly chosen croaker fish will be b/t 7 and 15 inches.
Standard deviation of 12 ounces. Find the probability of randomly selecting a newborn child whose weight is less than 107 ounces.
400 customers of the company and finds that 30 of them are actually not happy about the service. Set up the null and alternative hypotheses to test for the company's claim.
Variance hour 100 and battery y: sample size 12,mean hour 1020,variance hour 121. can you conclude that two types of batteries are having the same mean life?
A sample of 16 batteries reveals a mean of 3.45 years and a standard deviation of 0.3 years. Find a 95% confidence interval for the population mean.
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