The most abundant lipid in the plasma membrane is the:

A first messenger is:

What is the STC Attendance Policy regarding absences?

What does Academic Dishonesty include?

What is the primary purpose of the course?

A service provider is interested in the time for handling a customer complaint (in minutes). For a random sample of 16 customers, the mean time is 21.8 min and the standard deviation is 4.6 min. Find 99% confidence interval for the population mean time for handling a customer complaint. 

Please note that this question consists of six parts. You may use MINITAB to find a final answer. However you MUST show all the mathematical work to get to the final answer. Just giving the answer without adequate work/explanation may result in zero for the question.  A university wants to compare the proportion of graduate students and undergraduate students who had an internship last summer. A random sample of 200 undergraduate students and 85 graduate students was surveyed. Among the 200 undergraduate students, 102 reported having an internship. And among the 85 graduate students, 50 reported having an internship. Give a point estimate for the difference in population proportions of undergraduate and graduate students who had an internship.  Set up appropriate null and alternative hypothesis for testing if the population proportion of undergraduate students who had an internship is lower than the population proportion of graduate students who had an internship.  What conditions need to be satisfied in order for you to continue with the hypothesis test in part 2? Are they satisfied? Calculate the test statistic for the test you set up in part 2. You may use MINITAB to get the final test statistic. However, you need to show the mathematical calculation that resulted in the final answer. Give the rejection region for this problem. Use 5% significance level. Write the final conclusion in the context of the problem.

Please note that this question consists of three parts. You may use MINITAB to find a final answer. However you MUST show all the mathematical work to get to the final answer. Just giving the answer without adequate work/explanation may result in zero for the question.  A local manufacturing company produces light bulbs. The lifespan of their light bulbs is normally distributed with mean 1160 hours and standard deviation 105 hours.  What is the probability that the lifespan of a randomly selected light bulb manufactured by the company will be over 1200 hours? What value divides the longest 1% lifespans from the rest 99% of lifespans?  A quality control team randomly selects a sample of 40 light bulbs and measures their lifespans. What is the probability that the average lifespan of 40 light bulbs will be over 1200 hours?

Here are tables you may need for this exam. (Click on the file name, not the downarrow to open the table within the spacer) Z_T_CHITables.pdf

Please note that this question consists of six parts. You may use MINITAB to find a final answer. However you MUST show all the mathematical work to get to the final answer. Just giving the answer without adequate work/explanation may result in zero for the question.  A company wants to know if the office location affects productivity. Management randomly select employees from each of four different office locations and record the number of tasks completed in a day. They decided to use One-way ANOVA and need your help to interpret the results. Use provided partial output to answer below questions.  Write down the null and alternative hypotheses for testing whether or not the average number of tasks completed per day is the same for the four locations. Define parameters when you set up null and alternative hypotheses. Compute the degrees of freedom missing in the ANOVA output (i.e. error degrees of freedom) Compute the sum of squares missing in the table (i.e. sum of square treatment) Compute the F-value missing in the ANOVA output. At a 5% significant level is there sufficient evidence to claim that the the average number of tasks completed per day is different in at least one of the locations. Explain your answer. The output for Tukey pairwise comparisons is given below. Based on the output: Are the average number of tasks completed per day for locations 1 and 4 significantly different? Explain your answer. Which location seems to have the highest average number of tasks completed per day?