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Q1) Manager of 2 resort properties was interested in any noteworthy difference in eagerness of guests to return to the 2 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 a 5% level of significance, is there any difference in proportion of guests who would select the two resorts? What is your conclusion?
Manager at light bulb factory wishes to find out whether there is any difference in mean life expectancy of bulbs manufactured on two dissimilar types 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 a sample mean of 375 hours, and similar sample of 30 from machine II indicates sample mean of 362 hours. At 5% level of significance, is there evidence of difference in mean fife of bulbs produced by two kinds of machines. What is your conclusion?
When the p-value is used for hypothesis testing, the null hypothesis is rejected if
No estimate of the population proportion is available. How large a sample is required?
Assume that the measurements came from a normal distribution. The variability of the manufacturing process is unknown means the same as the standard deviation is unknown.
Find the value for the correlation coefficient r.
Do 1-sample t-test to see if people in Chicago have travelled to fewer states than people nationwide. Utilize the 10% (.10) level of significance.
Find out the mean, median and mode for the given data
At.01 significance level, can we conclude that 30-year mortgage rate for small banks is less than 6%? Evaluate the p-value.
Find out the regression variable that correlates best. Among which regression variable, carbon dioxide or methane correlates best with the earth's surface temperature.
Set up null hypothesis for associated F test.
Create a 99% confidence interval for mean overall duration of symptoms in population of individuals who used zinc lozenges.
Determine the best replacement policy over the next five years?
The lifetime of a light bulb is an Exponential RV with a mean of 800 hours. Let L represent the time (in hours) that one randomly selected light bulb will burn. What is the possibility the light bulb burns for more than 1000 hours.
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