can you help me solve these questions

Question I (I point) Internet speeds are a heavily advertised selling point of Internet Service Providers. You notice that although you are paying for a certain speed. the true speed seems to vary depending on where you are in your house. In order to estimate the true average Myou are getting in your house, you go to 12 random spots around your house and record the speed (in MBs per second) shown from a test at 'www.speedtest.net'. You see that the average is 7.96 Mst with a standard deviation of 2.246 Mst. You decide to create a 90% confidence interval for the average internet speed in your house. What is the margin of error for this estimate? Question 1 options: 1) 1.1544 2) 0.5?98 3) 0.884 4) 1.1556 5) 0.6484 Question 2 (I point) In a group of 12 young professionals studied. it was found that they purchased on average 5190.362 per month eating meals prepared outside the home, with a standard deviation of 535.593] . What is the 99% confidence interval of the true amount of money young professionals spend monthly on meals prepared outside the home? Question 2 options: 1) (mmsz) 2) (gun-158) 3) wanna 4) (4%, 200.537) 5) (asagmn Questlon 3 (1 point) Suppose you want to determine the average height of college basketball players in NCAA Division I. In a random sample of l 5 players, the sample average is 70.501 inches with a standard deviation of 5.9919 inches. What is the 95% condence interval for the average height of all NCAA DI players? Question 3 options: 1) (jg, 72.646) 2) {., 73.798) 3) (gnaw) 4) (.67.Ls_3_=73.819) 5) (31048) Questlon 4 (1 point) You are tracking Chipotle Mexican Grill's stock price, attempting to figure out a good price point for entry into the market. You look at 50 random days over the course of a few months and see that the closing price has an average of $261.23 with a standard deviation of $19.35. You construct a 95% confidence interval for the average stock price to be (255.73, 266.73). Of the following choices, what is the appropriate interpretation of this interval? Question 4 options: I) We cannot determine the proper interpretation of this interval. 2) We are certain that 95% ofthe dailyr closing prices will be between $255.73 and $266.73. 3) We are 95% condent the average daily closing price for any day is between $255.73 and $266.73 4) We are 95% condent the average daily closing price for the days monitored is between $255.73 and $266.73. 5) We are 95% condent that the proportion ofail days that have a closing price between $255.73 and $266.73 is 95% Questlon 5 (1 point) The owner of a local golf course wants to determine the average age of the golfers that play on the course in relation to the average age in the area. According to the most recent census, the town has an average age of 20.76. In a random sample of 30 golfers that visited his course. the sample mean was 41.45 and the standard deviation was 6.89. Using this information, the owner calculated the confidence interval of (37.98, 44.92) with a condence level of 99%. Which of the following statements is the best conclusion? Question 5 options: I) The average age of all golfers does not signicantly differ from 20.76. 2) We cannot determine the proper interpretation based on the information given. 3) We are 99% condent that the average age of all golfers that playr on the golf course is less than 20.76 4) We are 99% condent that the average age of all golfers that playr on the golf course is greater than 20.76 5) The percentage of golfers with an age greater than 20336 is 99%. Question 6 (1 point) A customer wants to estimate the average delivery time of a pizza from the local pizza parlor. The customer wants to obtain a sample mean that falls within 4.038 minutes of the true average delivery time with 99% condence. If the customer knows the standard deviation of the delivery times of all pizzas is i 5.05 3. how many pizzas will need to be ordered? .Question 6 options: I) 92 2) 93 3) 103 4) We do not have enough information to answer this question since we were not given the sample mean 5) 92 Questlon 7 (1 point) The owner of a local golf course wants to estimate the difference between the average ages of males and females that play on the golf course. He randomly samples 30 men and 30 women that play on his course. He nds the average age of the men to be 30.88] with a standard deviation of 7.57. The average age of the women was 42.595 with a standard deviation of 6.824. If a 95% confidence interval is calculated to estimate the difference between the two average ages, what is the margin of error? Assume both population standard deviations are equal. Question 7' options: 1) 3.32s 2) 135075143 3) 3.547 4) 3.11 5) 100171743 Questlon 8 (1 point) A university is comparing the hourly wages of students who completed a Master's Degree to students who only completed a Bachelor's Degree. 0f the students surveyed, 16 had a Master's degree and 14 had a Bachelor's Degree only. The average hourly rate for those with a Master's was 540.925 (SD = $4.8519). Among the graduates with a Bachelor's degree, the average hourly rate was $29.98] (SD = $8.0806). Construct a 95% condence interval for the difference between the true average hourly rates (Master's Bachelor's). You can assume that the standard deviations of the two populations are statistically similar. Question 8 options: 1) (8.546, 13.342) 2) (21.235, 43.124) 3) We only have the sample m we need to know the population means in order to calculate a condence interval. 4) (5.032, 15.256) 5) (5.245, 35.643) Questlon 9 (1 point) It is believed that using a solid state drive (SSD) in a computer results in faster boot times when compared to a computer with a traditional hard disk (HDD). You sample a group of computers and use the sample statistics to calculate a 99% condence interval of (9.95, l .96). This interval estimates the difference of (average boot time (HDD) average boot time (SSDD. What can we conclude from this interval? Question 9 options: }) There is no signicant difference between the average boot time for a computer with an SSD drive and one with an I-IDD drive at 99% condence. 2) We do not have enough information to make a conclusion. 3) We are 99% condent that the average boot time of all computers with an HDD is greater than the average of all computers with an SSD. 4) We are 99% condent that the difference between the Wmeans falls within the interval. 5) We are 99% condent that the average boot time ofall computers with an 5813 is greater than the average of all computers with an HDD. Questlon l0 (1 point) A pharmaceutical company is testing a new drug to increase memorization ability. It takes a sample of individuals and splits them randomly into two groups. After the drug regimen is completed, all members of the study are given a test for memorization ability with higher scores representing a better ability to memorize. Those 30 participants on the drug had an average test score of 31.062 (SD = 3.184), while those 25 participants not on the drug had an average score of 29.99] (SD = 5.85). You use this information to create a 90% confidence interval for the difference in average test score of (1.008. 3.15). Which of the following is the best interpretation of this interval? Question 10 options: I) We are 90% sure that the average difference in test score of all people who would take the drug and people not on the drug in the state the study was completed in is between 4.008 and 3.15. 2) We are 90% condent that the difference between the average test score of all people who would take dmg and all people not taking the drug is between 4.008 and 3.15. 3) We are 90% condent that the difference between the average test score ofpeople who would take drug in the study and people not on the drug in the study is between 4.008 and 3.15. 4) We are certain that the difference between the average test score of all people who would take drug and all people not taking the drug is between -l.0l]8 and 3.15