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- Construct the confidence interval for the population mean u. c=0.98, x=16.5, o=4.0, and n=60. A 98% confidence interval for u is (___,___). (Round to one decimal place as needed.K Listed below are student evaluation ratings of courses, where a rating of 5 is for "excellent." The ratings were obtained at one university in a state. Construct a confidence interval using a 90% confidence level. What does the confidence interval tell about the population of all college students in the state? 3.8, 3.0, 4.2, 4.8, 2.8, 4.2, 3.4, 4.8, 4.7, 4.1, 4.5, 3.7, 3.1, 3.9, 4.0 this 2 W S View an example X H hand What is the confidence interval for the population mean μ? << (Round to two decimal places as needed.) #3 80 P3 E D C Get more help - $ 4 888 FA R F % 5 V T FS G MacBook Air B F6 Y H & 7 N с *** J 00* 8 FB I M 9 F9 H Clear all L F10 888 P command Check answer { L [ alt option (0) ? } 1 deleteA beverage company would like to determine if their drink is preferred to a rival company’s drink. They perform an experiment with 150 randomly selected individuals and have them taste test the two different drinks in a controlled environment so that each person's preference is independent of others. A 90% confidence interval for the proportion preferring their drink is (0.453, 0.587). Which of the following is the correct interpretation of this confidence interval? 90% of all consumers prefer this beverage company’s drink to their rival’s between 45.3% and 58.7% of the time. We’re 90% confident that between 45.3% and 58.7% of all consumers would prefer this beverage company’s drink to their rival’s drink. We’re 90% confident that there’s a 45.3% to 58.7% chance that a randomly selected person would prefer this beverage company’s drink to their rival’s drink. We’re 90% confident that the proportion of people in the sample who prefer this beverage company’s drink over their…
- Supplier claims that they are 95% confident that their products will be in the interval of 20.45 to 21.05. You take samples and find that the 95% confidence interval of what they are sending is 20.40 to 21.00. What conclusion can be made?K A university would like to examine the relationship between a faculty member's performance rating (measured on a scale of 1-20) and his or her annual salary increase. The table to the right shows these data for eight randomly selected faculty members. Construct a 90% confidence interval for the regression slope. Construct a 90% confidence interval for the slope. LCL= and UCL= (Round to three decimal places as needed.) Rating Increase Rating Increase 17 $2400 14 $2000 18 8 22 $2600 14 $2700 $1800 16 $2100 $1600 15 $1900For the data set below, calculate r, r2, and a 95 percent confidence interval in r units. Then write a one- to two sentence conclusion statement that includes whether the null hypothesis was rejected or not and whether there is a strong /weak/no relationship. Assume a two tailed hypothesis and α = .05. Case 1 Case 2 Case 3 Case 4 Case 5 Case 6 X 1.05 1.15 1.30 2.00 1.75 1.00 Y 2 2 3 4 5 2
- R1A random sample of 318 students from a large college were asked if they are planning to visit family during Thanksgiving break. Based on this random sample, a 99% confidence interval for the proportion of all students at this college who plan to visit family during Thanksgiving break is 0.78 to 0.98. Which of the following is the correct interpretation of the confidence interval? options: We are 95% confident that the interval from 0.78 to 0.98 captures the true proportion of all students at this college who plan to visit family during Thanksgiving break. We are 95% confident that the interval from 0.78 to 0.98 captures the true proportion of all students in this sample who plan to visit family during Thanksgiving break. We are 95% confident that the interval from 0.78 to 0.98 captures the true proportion of all students at this college who said they plan to visit family during Thanksgiving break. None of these is correct.A box model is used to calculate a confidence interval in the following scenario: Statistics club at TYHS wants to know the average time students in TYHS spent on preparing for their standardized exams. They sampled 100 students from TYHS. They want to construct a confidence interval for the average time that students in TYHS spent on preparing for their standardized exams. For each of the following quantities in the box model, select the answer if the quantity is random, not fixed. Leave the quantities that are fixed unselected. Group of answer choices. You can select more than one answer the proportion of 0's in the box model the EV and SE of the sample average the average time of every student in TYHS spent on preparing for their standardized exams the sample average of students spent on preparing for their standardized exams
- Use the Student's t distribution to find tc for a 0.90 confidence level when the sample is 25. (Round your answer to three decimal places.)Construct a 95% confidence interval estimate for the mean GPA . Change the interval above to a 99% confidence interval estimate for the mean GPA. If you want this 99% confidence interval estimate to be no wider than ± 0.1, by how much must you increase the sample size? ID Female Major GPA 1 1 4 2.537 2 0 2 3.648 3 1 3 2.981 4 0 2 2.683 5 1 2 3.234 6 1 3 2.467 7 1 1 3.384 8 1 3 3.555 9 0 2 3.263 10 1 1 3.711 11 1 5 1.970 12 1 4 3.406 13 0 1 2.523 14 0 3 1.750 15 1 6 3.191 16 1 2 2.795 17 0 1 2.606 18 0 5 2.397 19 1 6 3.791 20 0 4 3.490 21 0 3 2.421 22 0 5 3.937 23 0 5 2.890 24 1 6 2.246 25 1 2 3.371 26 1 5 3.114 27 0 1 3.084 28 0 5 2.703 29 1 3 3.045 30 0 1 1.948 31 1 1 2.717 32 1 6 1.996 33 1 3 2.870 34 0 5 2.986 35 0 1 3.393 36 1 2 2.740 37 1 6 2.499 38 1 4 3.695 39 1 4 2.664 40 1 5 2.306 41 1 3 3.022 42 1 6 2.776 43 1 5 2.175 44 0 2 3.828 45 0 6 3.410 46 0 4 2.330 47 0 5 3.978 48 1 3…I 4. The numbers below represent the weekly time (in hours) that a random sample of college football players spent lifting weights. 7.4, 5.8, 7.3, 7, 8.9, 9.4, 8.3, 9.3, 6.9, 7.5, 9, 5.8, 5.5, 8.6, 9.3, 3.8 a. Construct, by hand, a 99% confidence interval of the mean weekly time college football players spend lifting weights. b. Interpret your confidence interval in context of the problem.