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One objective of this course is learning how to correctly interpret statistical measures. This includes learning how to identify intentionally misleading statistics. For this week's activity create your own example of a misleading statistic. Explain the context of the data, the source of the data, the sampling method that you used (or would use) to collect the data, and the (misleading) conclusions that would be drawn from your example. Be specific in explaining how the statistic is misleading.
A study of the amount of time it takes a mechanic to rebuild the transmission for a 1992 Chevrolet Cavalier shows that the mean is 8.4 hours and the standard deviation is 1.8 hours.
At a large commercial bakery, one of the measures used to evaluate employees is number of broken cookies per 1000 produced. The quality control department wants to determine if there is a relationship between years of experience and the broken co..
Findout the 98% confidence interval for true mean. Findout a 98% confidence interval for the cigarette tax in all 50 states.
How would I go about finding the probabilities for the following discrete random variables? Among a shipment of 5,000 tires, 1,000 are slightly blemished. If one purchases 10 of these tires, what is the probability that 3 or less (P (x
Do these data suggest a statistically significance difference between the proportions of drug-resistant cases in the two states? Use a 0.02 level of significance and computed value of 2.37.
(A) At the 0.05 level of significance, use the six step critical value approach to hypothesis testing to try and prove that the 2004 proportion has increased. (B) Use the 5 step p-value approach. Interpret the meaning of the p value.
As a part of a class project, your statistics instructor asks you to weigh a sample of 100 items from a shipment of 500. You are testing the null hypothesis that the mean is greater or equal to 10 lbs.
The company wants to formulate a linear programming model to determine the number of grams of each ingredient that must go into the drug in order to meet the antibiotic requirements at the minimum cost.
A random sample of size 10 is selected from the N (20, 5) distribution. What is the probability that the variance of this sample exceeds 10?
The monthly sales demand for a new product is uncertain, but it is considered to be adequately described by a normal random variable with mean 50,000 units and variance 100,000,000.
Past studies have revealed that only 88% of booked passengers actually arrive for flight.) Determine probability that if airline books 17 persons, not adequate seats will be available.
When is it best to use either of them? What types of variables can you apply them to, how many variables can each encompass, and which can be employed for a prediction of a new observation?
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