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In our bakery, a sample of 60 loaves of bread is found to have a mean weight of 35 ounces with a standard deviation of 1.21 ounces.
a. Using the sample, determine a 98% confidence interval for the mean weight of the entire daily output.
b. Determine how large a sample should be taken to be 90% confident that the sample mean is within 0.12 ounces of the true mean weight of our bakery's loaves.
c. Would we be guilty of false advertising if we claimed a 2 lb. loaf?
At the .01 significance level, can we conclude that there is more variation?
Mean and standard deviation are 584.6 and 34.28
Compute the mean, standard deviation, median, and standard error for each group.
Determine the probability of choosing the area code at random which ends in the odd number if first digit cannot be 1 or 0?
Genzero Pharmaceuticals developed the following regression model based on time series data from the past 33 quarters, for one of its non-prescription cold remedies:
Automobiles arrive at the drive-through window at a post office at the rate of 4 every 10 minutes. The average service time is 2 minutes. the Poisson distribution is appropriate for the arrival rate and service times are exponentially distributed.
Determining probability values using the Binomial distribution.Use the Binomial distribution to determine the probability that four or more of the contracts are in breach of the tendering guidelines.
Then describe trade-offs which will happen when you lower sample to $10,000 to meet their budget.
Determine the value of population mean? What is the best evaluate of this value?
The statistical analysis predicted that there would be 104 foxes. Calculate the residual for that data point.
The mean amount of a purchase at the Smith Hardware store is $23.50 with standard deviation of $5.00. The amounts purchased follow normal distribution.
Find the probability that 665 or fewer college students in the sample send and receive text messages with their phones? Is this result unusual?
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