QUESTION 2 The manager of the Danvers-Hilton Resort Hotel stated that the mean guest bill for a weekend is $600 or less. A member of the hotel's accounting staff noticed that the total charges for guest bills have been increasing in recent months. The accountant will use a sample of future weekend guest bills to disprove the manager's claim. Answer questions 2 and 3 using this data. What will be the Alternate Hypothesis? Population mean of weekend bill is less than or equal to $600. Population proportion of weekend bill is less than or equal to $600. population proportion of weekend bill is greater than $600. Population mean of weekend bill is greater than $600. QUESTION 3 When Ho cannot be rejected, can we conclude that the manager's claim is wrong? Information not enough. O Yes O can't say O No QUESTION 4 A production line operation is designed to fill cartons with laundry detergent to a mean weight of 50 ounces. A sample of cartons is periodically selected and weighed to determine whether underfilling or overfilling is occurring. If the sample data lead to a conclusion of underfilling or overfilling, the production line will be shut down and adjusted to obtain proper filling. Answers questions 4 and 5 using this data. Formulate the null hypothesis that will help in deciding whether to shut down and adjust the production line. population proportion is equal to 50. Population mean is equal to 50. Population mean is not equal to 50. Population mean is more than 50.QUESTION 5 when HD can be rejected. can we conclude that overlling or underlling exists? 0 lnfromation not enough. YES. 0 No. 0 Can't say. QUESTION 6 The average weekly assignment score of students in a statistics class is 7 out of 10 points. The professor proposes new incentives to boost the score of the students [like providing internship contacts etc.} He hopes that the results of running this incentives plan for a trial during the next couple of weeks will enable him to conclude that the incentives he offers increase the average weekly assignment score of students. Answerquestions 6 through ID using this data. What is the null hypothesis. 0 The average weekly score is strictly less than 7. O The average weekly score is strictly more than 7. The average weekly score is less than our equal to 7. O The average weekly score is strictly more than or equal to 7. QUESTION 7 In this situation. a Type I error would occur if it was concluded that the new incentives plan provides a population mean weekly assignment score when it fact does not. 0 information not enough 0 less than 7. 0 can't say greaterthan 7. QUESTION 8 What are the consequences of making the Type I error? 0 Information not enough. 0 This could lead to not impementing the plan that would help. 0 Can't say @ This could lead to impementing the plan when it does not help. QUESTION 9 In this situation. a Type II error would occur if it was concluded that the new incentive plan promdes a population mean weekly assignment score when in fact it does not. 0 information not enough less than or equal to 7. O greaterthan 7. 0 can't say QUESTION 10 What are the consequences of making the Type II error? 0 Information not enough. 0 Can't say. 0 This could lead to Implemeting a plan that would not improve scores. This could lead to not lmplemeting a plan that would improve scores. QUESTION 11 In 2018, RAND Corporation researchers found that 75% of all individuals ages 65 to 70 are adequately prepared financially for retirement. Many financial planners have expressed concern that a smaller percentage of those in this age group who did not complete high school are adequately prepared financially for retirement. Develop the appropriate Null hypothesis such that rejection of Ho will support the conclusion that the fraction of those who are adequately prepared financially for retirement is smaller for people in the 65 to 70 age group who did not complete high school than it is for the population of the entire 65 to 70 age group. Proportion greater than or equal to 0.75. Mean greater than or equal to 0.75. Mean less than 0.75. Proportion less than 0.75