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the population mean calorie intake for women at your college is different from 1760. h. Interpret the p-value in the context of the study. There is a 21.82334476% chance that the population mean calorie intake for women at your college is not equal to 1760. O There is a 21.82334476% chance of a Type | error. O If the population mean calorie intake for women at your college is 1760 and if you survey another 15 women at your college .then there would be a 21.82334476% chance that the population mean would either be less than 1717 or greater than 1803. O If the population mean calorie intake for women at your college is 1760 and if you survey another 15 women at your college, then there would be a 21.82334476% chance that the sample mean for these 15 women would either be less than 1717 or greater than 1803. i. Interpret the level of significance in the context of the study. If the population mean calorie intake for women at your college is 1760 and if you survey another 15 women at your college, then there would be a 10% chance that we would end up falsely concuding that the population mean calorie intake for women at your college is different from 1760. O There is a 10% chance that the population mean calorie intake for women at your college is different from 1760. O If the population mean calorie intake for women at your college is different from 1760 and if you survey another 15 women at your college, then there would be a 10% chance that we would end up falsely concuding that the population mean calorie intake for women at your college is equal to 1760. There is a 10% chance that the women at your college are just eating too many desserts and will all gain the freshmen 15