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A study of fast-food nutrition compared the caloric content of French Fries. Thirty-eight randomly selected servings of Burger King medium fries had a mean of 360 calories and a standard deviation of 50 calories, and 35 randomly selected servings of Mcdonalds medium french fries has a mean of 380 calories and a standard deviation of 45 calories. ? = 0.10, can you support the claim that the caloric contents of the two types of french fries are different?
a.) Indentify the claim and state the hypothesis (null and alternate)
b.) Find the critical value
c.) Find the standardized test statistic, z
d.) Decide whether to reject or fail to reject the null
based on a random sampleof 25 units of a product the sample mean is 102 pounds with a standard deviation of 10 pounds.
Test either there is any difference among the given variable also what does the Levene's Test shows. What variable is presented in this table.
Could this information be viewed as representing the ratio scale of measurement? If so , explain why. If not, why not.
Calculate the probability that a random sample of 40 children's full-length movies produces an average length of 85 minutes or more.
The entire batch will be rejected if at least one of those tested is defective. What is the probability that the entire batch wili be rejected?
What is the probability that the sum of their scores exceeds 1200 and probability that the average of the scores of all 400 student
Determination of statistical significance can only be determined by calculating the exact p value and declaring results as significant. True or false?
Frequencies of Responses in the Five Categories of the Self-Reported Bullying and Victimization Variables at Wave 3
Subcontracting can handle a maximum of 10 units per month. Beginning inventory is zero. Develop a plan that minimizes total cost. No back orders are allowed.
in a biomedical research activity it was determined that the survival time in weeks of an animal when subjected to a
A component has an exponential time-to-failure distribution with a mean of 10,000 hours. The component has already been in operation for its mean life. What's the probability that it will fail by 15,000 hours?
Suppose that 50 identical batteries are being tested. After 8 hours of continuous use, assume that a given battery is still operating with a probability of 0.70 and has failed with a probability of 0.30.
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