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The Olsen Agricultural Company has determined that the weight of hay bales is normally distributed with a mean equal to 80 pounds and a standard deviation equal to 8 pounds. Based on this, what is the probability that the mean weight of the bales in a sample of n=64 bales will be between 78 and 82 pounds?
Hypothesis test for two factors ANOVA. Describe what thses represent and, based on figure, whether there is a problem with the data r otherwise.
Ccarry out a Z test using the five steps hypothesis testing with a two-tailed test at the .05 significance level, and make a drawing of the distributions involved.
Find the least-squares regression line for predicting yield from planting rate and add this line to your plot. Choose the correct equation for the least-sqruares regression line.
Why do you use the chi-square statistic? What type of data is used with chi square analysis?
X has a normal distribution with a mean of 80.0 and a standard deviation of 3.5. Find the following probabilities.
A sample has just been taken with the following lengths: 21.25, 22.0, 21.5, 20.75, 21.25, 21.35, 21.35, 21.35, 21.35, 21.35, 21.35, and 21.35. Is the new seamstress performing at an acceptable quality level?
Form a frequency distribution and a percentage distribution that have class intervals with the upper class limits $99, $119, and so on.
When n = 250, determine the probability that proportion of couples in sample who are racially or ethnically mixed will be greater than 0.07?
The student body of a large university consists of 70% female students. A random sample of 6 students is selected. What is the probability that among the students in the sample exactly three are female?
Name three elements of the inferential statistical analysis.
The test statistics in a right tailed test is z= 2.50. Also use a .05 significance level and state the conclusion about the null hypothesis (reject null hypothesis or fail to reject the null hypothsis)
Clinic evaluates that true population standard deviation is around $1,300. If confidence level is 95%, determine the required sample size in order to meet desired accuracy.
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