here as sample size is high we may use z distribution
| male | female | ||||
| x1 = | 28.000 | x2 = | 39.000 | ||
| n1 = | 65.000 | n2 = | 65.000 | ||
| σ1 = | 3.000 | σ2 = | 2.000 | ||
| std error of difference σ1-σ2= | √(σ21/n1+σ22/n2) = | 0.4472 | |||
| for 98 % CI value of z= | 2.3263 | ||||
| margin of error E=z*std error = | 1.0404 | ||||
| lower confidence bound=estimated mean diff.-margin of error = | -12.04 | ||||
| Upper confidence bound=estimated mean diff+margin of error= | -9.96 | ||||
hence 98% CI =-12.04<1-
2
<-9.96
(Note from t - distributioon this interval can be (-12.06 ; -9.94) or (-12.05 ; -9.95)
A study of working actors looked at age and gender. One sample of 65 male actors...
A study of working actors looked at age and gender. One sample of 75 male actors had a mean age of 23 and a standard deviation of 3. The other sample included 75 female actors with a mean age of 22 and a standard deviation of 4. Estimate with 98% confidence the difference between the average ages of working male (?1) and female (?2) actors. Round answers to the nearest hundredth. ____ < ?1??2 < ____
A study of working actors looked at age and gender. One sample of 60 male actors had a mean age of 37 and a standard deviation of 3. The other sample included 60 female actors with a mean age of 33 and a standard deviation of 4. Estimate with 85% confidence the difference between the average ages of working male (μ1) and female (μ2) actors. Round answers to the nearest hundredth. < μ1−μ2 <
A marketing study was conducted to compare the mean age of male and female purchasers of a certain product. Random and independent samples were selected for both male and female purchasers of the product. It was desired to test to determine if the mean age of all female purchasers exceeds the mean age of all male purchasers. The sample data is shown here: Female: n = 10, sample mean = 50.30, sample standard deviation = 13.215 Male: n = 10,...
Do male and female servers at Swank Bar work the same number of hours? A sample of 65 female servers worked an average of 28 hours per week, with a standard deviation of 4. A sample of 65 male servers worked an average of 21 hours per week, with a standard deviation of 2. Let μ1 and μ2represent the typical number of hours worked by all female and male servers at Swank Bar, respectively. Estimate with a 87% confidence level...
Gender Blood Glucose Female 94 d. Determine the sample mean and sample standard deviation of the Blood Glucose for both men and women. Test the claim that the average mean Blood Glucose of women is different from the average mean Blood Glucose of men. Use α = 0.01. Hint: It would be helpful to sort the data based on gender. (8 points) Male 92 Male 93 Mean Glucose Female Female 94 Standard Deviation Glucose Female Male 98 Sample Size Female...
1. In a study of speed dating, male subjects were asked to rate the attractiveness of their female dates, and a sample of the results is listed below (1equals=not attractive; 10equals=extremely attractive). Construct a confidence interval using a 99% confidence level. What do the results tell about the mean attractiveness ratings of the population of all adult females? 6, 8, 1, 10, 7, 5, 8, 9, 7, 10, 3, 9 What is the confidence interval for the population mean muμ?...
Do male and female servers at Swank Bar work the same number of hours? A sample of 60 female servers worked an average of 29 hours per week, with a standard deviation of 3. A sample of 60 male servers worked an average of 22 hours per week, with a standard deviation of 2. Let μ1 and μ2 represent the typical number of hours worked by all female and male servers at Swank Bar, respectively. Estimate with a 90% confidence...
Do male and female servers at Swank Bar work the same number of hours? A sample of 60 female servers worked an average of 23 hours per week, with a standard deviation of 2. A sample of 60 male servers worked an average of 34 hours per week, with a standard deviation of 4. Let μ1 and μ2 represent the typical number of hours worked by all female and male servers at Swank Bar, respectively. Estimate with a 85% confidence...
The USA Today reports that the average expenditure on Valentine's Day is $100.89. Do male and female consumers differ in the amounts they spend? The average expenditure in a sample survey of 40 male consumers was $135.67, and the average expenditure in a sample survey of 30 female consumers was $68.64. Based on past surveys, the standard deviation for male consumers is assumed to be $39, and the standard deviation for female consumers is assumed to be $17. 1.What is...
Do male and female servers at Swank Bar work the same number of hours? A sample of 75 female servers worked an average of 33 hours per week, with a standard deviation of 2. A sample of 75 male servers worked an average of 24 hours per week, with a standard deviation of 5.Let μ1μ1 and μ2μ2 represent the typical number of hours worked by all female and male servers at Swank Bar, respectively. Estimate with a 97% confidence level how many more hours...