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A business researcher uses two-way ANOVA in a report for a client. The researcher does not check the assumptions of using the technique. Is this a problem? (Please explain and give examples.)
Based on your answers to a through d, decide whether or not to reject the null hypothesis at the given significance level. Explain your conclusion in the context of the problem.
Findout the normal model for the given proportions. The professor has every student toss a coin 50 times also calculated the proportion
In chi-square goodness-of-fit test when there is close agreement between observed frequency and expected frequency, chi-square test value will be small.
If you have a statistical package that computes binomial probabilities, find the probability that at least five funds outperform the market in all 10 years.
How many cans of paint should the sample contain if the researcher wants to be 98% certain of being within one percentage point of the true proportion of this chemical?
Estimating the individual score using normal distribution and find the minimum SAT score needed to be accepted?
The City Transit Authority plans to hire 8 new bus drivers. From the group of 100 qualified applicants, of whom 55 are men and 45 are women, 8 names are to be selected by lot. Suppose that Mary and John Lewis are among the 100 qualified applicants..
Compute the mean, variance and standard deviation for the grouped data. Based on the previous answer, how much could the realtor expect to make if he sells 3 houses?
Using one proportion z test to find whether or not to support the claim - There is little evidence to reject H 0 , therefore they conclude the tvs are 20 pounds on average.
Albert Einstein stated, "The formulation of a problem is far more often essential than its solution, which may be merely a matter of mathematical or experimental skill.
Expected value, variance and standard deviation.A volunteer ambulance service handles 0 to 5 service calls on any given day. The probability distribution for the number of service calls is as follows.
Use regression analysis to develop an estimated regression equation that could be used to predict the value score given the price of the car.
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