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Assume that a simple random sample has been selected from a normally distributed population and test the given claim. Use either the traditional method or P-value method as indicated. Identify the null and alternative hypotheses, test statistic, critical value(s) or P-value (or range of P-values) as appropriate, and state the final conclusion that addresses the original claim.
1) A manufacturer makes ball bearings that are supposed to have a mean weight of 30 g. A retailer suspects that the mean weight is actually less than 30 g. The mean weight for a random sample of 16 ball bearings is 28.4 g with a standard deviation of 4.2 g. At the 0.05 significance level, test the claim that the sample comes from a population with a mean weight less than 30 g. Use the traditional method of testing hypotheses.
In a normal distribution
convert the following sat scores into new distributions with a mean of 50 and a standard deviation of 2.what new score
What was the purpose of calculating a Cohen's d? When is a Cohen's d calculated? Interpret d=.90. What does it mean in this example?
listed 3.52 8.87 3.99 3.61 2.33 3.21 0.25 4.94 are weights in pounds of glass discarded in one week by randomly
The Wilcoxon signed rank test is computed for the data and gives a value W + = 161.5. Using the Normal approximation (without the continuity correction) the P-value.
Simulate 50 observations from a normal distribution with mean 0 and standard deviation 1. make a normal plot.
Identify and justify which type of sampling (random, stratified, systematic, cluster, convenience) is used in the following examples.
Assume the population standard deviation is 1.2 hours. The standard error of the mean is:
Problem: Two rainstorms occurred in one week in a certain area. In the first storm 30 ml of rain fell per hour, and in the second storm 20 ml of rain fell per hour.
2391 women are asked which hand they preferred to use and which foot they preferred to use with results as right hand
270 randomly selected light bulbs were tested in a laboratory 98 lasted more than 500 hours. find a point estimate of
telephone numbers at uc davis consist of 7-digit numbers the first 3 of which are 752. it is estimated that about
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