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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?
A Correlation matrix (correlation, coefficients and probability level under the hypothesis rho = 0) for a company's sales force (age, years of service, and current sales) is given below. Comment.
Determine the distributions given below represent a probability distribution. Justify your answer.
An experiment was performed to investigate lifetime of a component exposed to high heat. Three different oven types were used at either 550°F or 600°F.
The ANOVA procedure is a statistical approach for determining whether or not:
It has been evaluated that 30% of all farms are family-owned. In sample of 12 farms, determine the probability that exactly 3 farms are family owned?
Evaluate the strength of the relationship by computing the coefficient of determination.
Make up a scatter diagram with 10 dots for each of the following situations:
What should the cut-off score be for the interviews? (Round to nearest whole number).
Number of rescue calls received by rescue squad in city follows a Poisson distribution with mu = 2.83 per day. Squad can handle at most four calls a day. Determine the probability that squad will be able to handle all calls on a particular day?
What type of error has possibly been committed? Explain the error in ordinary language.
Create a scatter plot for those data. Based on scatter plot, how would you explain relationship between the two variable.
To findout 95 percent with confidence interval for the mean amount a citation. Police Chief Aaron Ard of River City reports 500 traffic citations were issued last month.
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