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Let Y take on the values 1, 2....., n; all of these values ov Y are equally likely. this probability distribution is called the discrete uniform distribution.
a) Derive the formula for the expected value Y,
b) derive the formula for the moment generating function of Y
A random sample of 36 days yielded the average daily output of 890.2 tons, with standard deviation of 19.8 tons. Use this information to make a 95% confidence interval for mean.
Currently, quarters have weights that are normally distributed with a mean of 5.670 g and a standard deviation of 0.062 g. A vending machine is configured to accept only those quarters with weights between 5.550 g and 5.790 g.
Finding the probability of each event in a group of events of different possibility
At the .01 significance level, is there a relationship between job pressure and age?
One sample has SS = 48 and a second sample has SS = 32. When both samples have n =5, what is each sample variance and computed pooled variance?
The total population of car passengers involved in traffic accidents are classified into six categories: two factors (one with 2 levels and one with 3 levels) crossed.
A random sample of n = 16 scores is selected from a normal distribution with a mean of μ = 50 and standard deviation of σ = 10. a) What is the probability that the sample mean will have a value between 45 and 55?
Suppose that the results of the sample lead to rejection of the null hypothesis. Classify that conclusion as a:
Calculate expected value for each decision and choose the best one. Find out how much firm would be eager to pay to a market research firm to gain better information about future market conditions.
At the .05 level of significance, can we conclude the Middletown students stayed in their districts less time than the Brockton students? Use the five-step hypothesis testing procedure.
Estimate and interpret the p-value of the calculated test statistic.
Describe the data appear the strength of the relationship among variables is sufficient to warrant using linear regression forecasting.
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