Attached is the statistics problem i need help solving

R TIMED TEST, with 9 questions. I know what types of questions will be on the test, but I CANNOT INCLUDE THEM UNTIL WE ARE READY TO BEGIN THE TIMER. Please see my attached images, the first one on confidence intervals makes up questions 1-7, the second is a variation of these initial confidence interval questions, and the last picture shows the format of the last 2 questions on hypothesis testing. This gives you plenty of time and the questions are rather straight forward. I NEED SOMEONE ABLE TO BEGIN NOW. THE FINAL DEADLINE IS 11PM PST Thanks

multiple choice. It is a statistics year 1 university course and I have attached a file on the exam topics below. If you understand most of these concepts, I would greatly appreciate any help/tutoring you can provide during this during this test. Thank you so much!

, all multiple choice. It is a statistics year 1 university course and I have attached a file on the exam topics below. If you understand most of these concepts, I would greatly appreciate any help/tutoring you can provide during this during this test. I also attached a practice test as an example to see what kind of questions will be will be provided. Thank you so much!

oups were used (lawyer, physical therapist, cabinetmakers, and system analysts). The results obtained for a sample of 5 individuals from each groups. Using the "ANOVA Output" below, please answer the following questions ( Use the significance level 5%). Q1. The value of the test statistic is ____________ QUESTION 2 Q2. The p- value of the test is _________________ QUESTION 3 Q3. At the 5% significance level, the null hypothesis is rejected if the value of the F statistics is >= _________________ QUESTION 4 Q4. Interpret the ANOVA result at the 5% significance level. Is there any difference in the job satisfaction among the four occupational groups? Answer either yes or no. Explain the reason of your answer statistically. QUESTION 5 Data from a Trucking Company is Southern California were utilized to examine the relationship among total daily travel time (y), miles to traveled (X1), and the number of deliveries (x2). Based on the "Regression Output" below, please answer the following questions. Q5. The number of sample used in this regression analysis is______________ QUESTION 6 Q6. What is the value of the coefficient of determination? QUESTION 7 Q7. What is the F test statistic value for the regression model significane test? QUESTION 8 Q8. What is the predicted travel time for X1 =95, and X2= 6? QUESTION 9 Q9. Is X2 (number of deliveries) related to Y (travel time)? Answer either yes or no. Explain the reason of your answer statistically. ATTACHED ARE GRAPHS