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If measurements of the specific gravity of a metal can be looked upon as a sample from a normal population having a standard deviation of 0.04, what is the probability that the mean of a random sample of size 25 will be "off" by at most 0.02?
Explain how many cars would required to go by the speed trap to be 99.8% sure which at least one driver will warm oncoming traffic of the speed trap.
In a study, the carapace lengths (in mm) of Thenus lobster caught near Singapore measured: 78,66,65,63,60,60,58,56,52 and 50 ( the population data is approximately normal).
Assume that 12 percent of adults in this country have filed for bankruptcy at some point in their life.
State the null hypothesis and the alternate hypothesis. State the decision rule. Compute the value of the test statistic. What is your decision regarding the null hypothesis?
The time it takes a student to finish a electronics test has a uniform distribution between 50 and 70 minutes.
The selection committee of the club is willing to use a 0.01 significance level. You are required to find out whether Amod's salary will be cut next year.
SAT verbal scores are normally distributed with a mean of 494 and a standard deviation of 97. Use the Empirical Rule to determine what percent of the scores lie between 300 and 591.
Find the mean and standard deviation for the population and population of exam scores
Tthe hypothesis test used (normal curve, single sample t-test, dependent samples t-test, independent samples t-test, ANOVA). For situations 1, 3, 4, and 5, also state whether the test is unilateral or bilateral.
To compare the effectiveness of two treatments 1 and 2 for a particular disease. Patients were separated in 2 treatment groups. A patient in group 1 received treatment 1 and patients in group 2 received treatment 2.
The manufacturer of a coffee dispensing machine claims the ounces per cup is normally distributed with population mean equal to 8 ounces and standard deviation equal to 0.9 ounces. If 50 cups of coffee were measured, what is the probability that.
Find the probability that follows Binomial distribution.
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