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Q1) Manager of two resort properties was interested in any important difference in willingness of guests to return to two properties. A sample of 227 guests at "The Beachcomber" resulted in 163 who said that they would select that property again. Sample of 262 guests at "The Windsurfer" resulted in 154 who said they would select that property again. Using 5% level of significance, is there any difference in proportion of guests who would select two resorts? What is your conclusion?
Q2) Manager at light bulb factory wishes to find out whether there is any difference in mean life expectancy of bulbs manufactured on two various kinds of machines. Population standard deviation of machine I is 100 hours and of machine II is 115 hours. Random sample of 30 light bulbs from machine I points out sample mean of 375 hours, and similar sample of 30 from machine II points out sample mean of 362 hours. At 5% level of significance, is there evidence of difference in mean life of bulbs produced by the two kinds of machines. What is your conclusion?
What is the likelihood the sample mean is greater than $22.50 but less than $25.00?
We desire to test at 0.05 level of significance whether modification increases the life of battery. What is our decision rule? Reject null hypothesis if calculated t is less than 1.96.
Is there any evidence that the different teatments produced different responses? If so, which one seems to work best?
As we can say there is 5.5 percent chance of seeing the current policy having an effect on smog in the results we observed from natural sampling variation.
Assume if random samples of size n = 9 are selected can we say anything about the distribution of sample means.
Assess the model fit for the multiple linear regression model using appropriate statistics and graphics.
Explain finding value of test statistic for the given data also interpret the result. Can Mr. Ratter compute which the mean weight of the bags is less than 50 pounds.
Conditional and compound probabilities.The table below gives the distribution of blood types by gender in a group of 1000 individuals.
The random variable X has which of the following probability distributions and What is the probability that no student wins
Construct a 90 percent confidence interval for the proportion of all kernels that would not pop.
Can we conclude that mean time for game is less than 3.50 hours? Use.05 significance level.
Construct a 98% prediction interval for the selling price of a 4l- year old house having 4500 square feet, 13 rooms, and an attached garage.
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