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The National Association of Landscape Professionals has determined that on average mulch lasts 87 days befor fading or degrading. Due to an improved production process that extends the life of mulch, the Association believes that there has been an increase in the useful life of standard pine bark mulch. A sample of 36 yards of mulch showed an average life of 88.5 days before it began to fade. Assume from past information that it is known that the standard deviation of the population is 9 days.
a. Give the null and the alternative hypotheses.
b. Compute the test statistic.
c. At 99% confidence using the critical value approach, test management's belief.
d. What is the p-value associated with the sample results? What is your conclusion based on the p-value?
this problem set introduces you to the use of spss for analyzing data with one iv and more than one dv to investigate
In what areas of your business is it important to draw inference? Describe a time when drawing an inference may have hurt your business.
On any given day, about 45% of the stocks on the American Stock Exchange increase in value. A random sample of four independent stocks is chosen.
Based on the information above, estimate the mean and standard deviation of the weight of the pain killer in each bottle.
Two semiconductor factories are being compared to see if there is a difference in the average defect rates of the chips they produce. In the first factory, 250 chips are sampled. In the second factory, 350 chips are sampled. The proportions of def..
The manufacturer wanted to determine if the tires were exceeding the guarantee. At the .05 significant level, it was concluded that the tires are exceeding the manufacturer's guarantee.
The variance of the return per share is 4 for stock 1 and 100 for stock 2. The covariance of the return between the two stocks is 5 per share. Use the total variance of the investment as investment risk.
Range of 0 to 5 Volts. An environmental effect, such as a change in ambient temperature, lowers the sensitivity by 2%. What span error does this generate?
an analyst is interested in testing whether four populations have equal means. the following sample data have been
Suppose that the critical region for a certain test of hypothesis is of the form T greater than or equal to 2.5 and the computed value of T from the data is -2.75.
Generate a 95% confidence interval for the difference in mean HDL levels between men when exercise regularly and those who do not.
Could rejecting the null hypothesis actually be a positive thing in an experiment or test? Please provide and example with your thoughts. Could you think of a situation where rejecting the null hypothesis does not mean the alternative hypothesis is ..
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