Can an interviewer influence how people respond to the survey question, "Do you like dogs?" To answer this question, Jason carried out an experiment. As each person approached, Jason flipped a coin. If it landed on heads, Jason picked up his puppy and asked the person if they like dogs. If the coin landed on tails, Jason picked up a clipboard and asked the person if they like dogs. Of the 50 people that Jason surveyed while holding his puppy, 35 said "Yes," while 11 of the 44 people that Jason surveyed while holding his clipboard said "Yes." Let p₁ = the true proportion of people like the ones in this study who would say they like dogs when Jason is holding his puppy and p2 = the true proportion of people like the ones in this study who would say they like dogs when Jason is holding a clipboard. Construct and interpret a 90% confidence interval for the difference in the proportion of people like these who would say they like dogs when Jason is holding his puppy or a clipboard. O (-0.299,-0.601) We are 90% confident that the interval from 0.299 to 0.601 captures P₁ P2 = the true difference in the proportions of people like the ones in this study who would say they like dogs when Jason is holding his puppy or a clipboard. (0.270, 0.630) We are 90% confident that the interval from 0.270 to 0.630 captures P₁ P2 = the true difference in the proportions of people like the ones in this study who would say they like dogs when Jason is holding his puppy or a clipboard. This confidence interval should not be computed because the conditions are not met. (0.299, 0.601) We are 90% confident that the interval from 0.299 to 0.601 captures p₁ - P2 = the true difference in the proportions of people like the ones in this study who would say they like dogs when Jason is holding his puppy or a clipboard.

A teacher surveyed the students in one of his algebra classes, asking how many hours they spend watching TV shows, movies, and videos on a weekday. Their responses are given. Complete parts (a) through (e) below. 10 3 4 2 35 0 2 1 5 2 4 2 1 0 1 2 3 743 3 4 b. One student wrote "3-9." What value would represent this response well? Include the value in the sample for parts (c) through (d). A good value to represent the range 3-9 is c. Construct a dotplot. Choose the correct graph below. OA. TV, Movie, and Video Viewing Time O B. TV. Movie, and Video Viewing Time 02 4 8. 10 6. Hours 10 Hours OC. TV, Movie, and Video Viewing Time OD. TV. Movie, and Video Viewing Time 4. Hours 8 10 2 8. 10 C Hours d. What proportion of the observations are between 1 and 3 hours, inclusive? The proportion of the observations between 1 and 3 hours, inclusive is (Round to the nearest thousandth as needed) e. What proportion of the observations are less than 5 hours? Activate Windows Go to Settings to activate…

Task-1. A professor at a university is wishing to determine whether his introductory statistics class has a good grasp of basic math or not. For this purpose, he chooses six students from his class and gives them a math proficiency test. To have a good grip of basic maths, the professor wants the class score above 70 marks on the test. The scores that the sample of six students gets are 62, 92, 75, 68, 83, and 95. Can the professor say with 90% confidence that the mean score for the whole class on the test would be above 70?

Please give correct Answers and Answer both parts. A B 6.13 Taste test. Some people report that just one sip, they can detect the difference between a diet and a regular Coke. A researcher wanted to test this claim, so he chose 80 persons at random. He then filled 80 simple white cups with soda, half diet and half regular, and asked each person to take one taste from their cup and identify the soda as diet or regular based on a random assignment. The drink was accurately identified by 53 of the participants. (a) Do these data show that these folks are any better or worse at telling the difference between diet and regular soda than random guessing? (b) Explain the significance of the p-value in this context.