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A medical investigation claims that the average number of contaminations per week at a Main Hospital is 100.4. A random sample of 10 weeks had a mean number of 99.98. The sample standard deviation is 2.9. Is there enough evidence to reject the investigator's claim at alpha =.05?
Conduct an ANOVA comparing anxiety levels (at post test only) of participants across all three treatments, conduct post hoc test if needed.
In a regression analysis involving 27 observations, the following estimated regression equation was developed.
Let O = { 0, 1, 2} be the outcome space in a model for tossing a coin twice and observing the total number of heads.
The owner of a local casino. Recently, the operations department proposed to introduce one new gambling game. There are two options. The probability distributions of payout (i.e., the money player will win) for a player in the two options are ..
Which seems to be more useful in predicting January Temperature - Altitude or Latitude? Explain.- If the Temperature were measured in degrees Celsius, what would be the correlation between Temperature and Latitude?
The mean height of women in a country (ages 20-29) is 63.6 inches. A random sample of 50 women in this age group is selected. What is the probability that the mean height for the sample is greater than 64 inches? Assume σ =2.85
Formulate West's production-mix decision as a linear programming problem, and solve. NOTE: This problem must be solved using one of the following methods. How many tables and bookcases should be produced each week?
Give a description of the model and assumptions, summarize the results, examine the residuals, and write a summary of what you have found.
For each of the following, identify the independent variable(s), dependent variable(s), and the level of measurement (nominal, ordinal, scale).
Which promises the profit of $24,000 with the probability of .7 or a loss (due to bad weather, strikes, and such) of $8000 with the probability of .3. Determine the expected profit?
Assume a mean wage of $1,000 and standard deviation of $100. What's the probability of finding an employee with a wage of between $790 and $1000?
A large computer company claims that their salaries are normally distributed with mean $50,000 and standard deviation 10,000. What is the probability of observing an income between $40,000 and $60,000?
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