Waiting for answer This question has not been answered yet. You can hire a professional tutor to get the answer.
3 Statistics problems due in 30 hours
PLEASE READ THE QUESTIONS/PROBLEMS CAREFULLY; SHOW ALL YOUR WORK AND REASONING, Just the answer, without supporting work, will receive no credit.
1.(Show your work.) A Nissan Motor Corporation advertisement read:âThe average manâs I.Q. is 107. The average brown troutâs I.Q. is 4. So why canât man catch brown trout?â Suppose you believe that the brown troutâs mean I.Q. is greater than four. You catch 12 brown trout. A fish psychologist determines the I.Q.s as follows: 5; 4; 7; 3; 6; 4; 5; 3; 6; 3; 8; 5. Conduct a hypothesis test of your belief. Use a significant level of 5%. The standard deviation of the I.Q.s listed is approximately 1.62.
2.(Show your work.) According to the Center for Disease Control website, in 2011 at least 18% of high school students have smoked a cigarette. An Introduction to Statistics class in Davies County, KY conducted a hypothesis test at the local high school (a medium sizedâapproximately 1,200 studentsâsmall city demographic) to determine if the local high schoolâs percentage was lower. One hundred fifty students were chosen at random and surveyed. Of the 150 students surveyed, 82 have smoked. Use a significance level of 0.05 and using appropriate statistical evidence, conduct a hypothesis test and state the conclusions.
3.(Show your work.) A study is done to determine if students in the California state university system take longer to graduate, on average, than students enrolled in private universities. One hundred students from both the California state university system and private universities are surveyed; suppose that from years of research, it is known that the population standard deviations are 1.5811 years and 1 year, respectively. The following data are collected. The California state university system students took on average 4.5 years with a standard deviation of 0.8. The private university students took on average 4.1 years with a standard deviation of 0.3. What would be your conclusions based on significance levels of 5% and 1%?