Please help on my assignment. Thanks 1.) An Airport manager faced a forecasting problem. He needs a model to forecast onemonth ahead in order to schedule part-time employment for airport services such asparkings, baggage handling and security. Given one year historical data below, find outthe best way to measure forecast accuracy at constant level as well as the number ofpassengers embarking one month ahead using Benchmark, Moving average and Simplesmoothing models. Assumed alpha(o)=0.1TIMEDATA127226332424533632734829932342628101112|||||||

Given: One year of historical data. Smoothing constant = α=0.1 Find: i)3 Month Moving Average…

Answered: 1.) An Airport manager faced a…

A First Course in Probability (10th Edition)

10th Edition

ISBN:9780134753119

Author:Sheldon Ross

Publisher:Sheldon Ross

Chapter1: Combinatorial Analysis

Section: Chapter Questions

Problem 1.1P: a. How many different 7-place license plates are possible if the first 2 places are for letters and...

See similar textbooks

Similar questions

Compute the forecasted values for Yt for July and August in 2020 by using the modelsstated in (c) and (d)
Question b. Movieflix, an online movie streaming service that offers a wide variety of award-winning TV shows, movies, animes, and documentaries, would like to determine the mathematical trend of memberships in order to project future needs. Year 2013 2014 2015 2016 2017 2018 2019 2020 2021 Membership (000s) 17 16 16 21 20 20 23 25 24 (i) Use the following time series data, to develop a regression equation relating memberships to time. (ii) Forecast 2023 membership. (iii) Assuming the COVID-19 pandemic comes to an end in 2021, in your opinion, how will this affect membership? Why? How will this affect your prediction?
a) With MAD as the criterion, the best forecasting model for this time series data is: A. Naïve approach B. 2-week SMA C. WMA with weights: 0.5, 0.3, 0.2 D. ES with alpha = 0.8 b) The demand forecast for Month 6 would be: A. 565 haircuts B. 574 haircuts C. 578 haircuts D. 584 haircuts
QUESTION 6 A new starch polymer foam with high shock absorbent properties is expected to perform better thanthe old foam which can withstand a maximum impact of 1.56 Joule (J). A simple destructive testto quantify shock absorption ability of the new foam is conducted. Table 5 shows the impact energyabsorbed (in J) that the new foam can withstand for each test.Table 51.61 1.5 1.65 1.7 1.4 1.59 1.65 1.5Does the recorded data suggests that the new foam performs better than the old foam? Use 2.5%level of significance.
Demand for haircut at PogiPoints Barber Shop has increased steadily for the past few months as seen in the following time series data. Do the necessary computations and choose the best answer that would complete each statement. With MAD as the criterion, the best forecasting model for this time series data is: * A.)Naïve approach B.)2-week SMA C).WMA with weights: 0.5, 0.3, 0.2 D). D. ES with alpha = 0.8
For the following data, see image a. identify the critical path?b. how long will it take to complete this project?c. can activity D be delayed without delaying the entire project? if so, by how many weeks?d. Can activity C be delayed without delaying the entire project? If so, by how many weeks?how many weeks?e. What is the schedule for activity E? Topic: stochastic processes
Question 2: Assume that the risk-free rate, RF, is currently 8%, the market return, RM, is 12%, and asset A has a beta, of 1.10. (could be done on word document or excel). Assume that as a result of recent events, investors have become more risk averse, causing the market return to rise by 2%, to be14%. Ignoring the shift in part c, draw the new SML on the same set of axes that you used before, and calculate and show the new required return for asset A. From the previous changes, what conclusions can be drawn about the impact of (1) decreased inflationary expectations and (2) increased risk aversion on the required returns of risky assets?
1. Consider the following time series: a. Construct a time series plot. What type of pattern exists in the data? b. Use simple linear regression analysis to find the parameters for the line that minimizes MSE for this time series.
QUESTION 3 The Research Unit for Cecilion Supermart conducted an experiment to estimate the strength of thecarrier bag from the starch-based biofilms made from two different jicamas (sengkuang) of type Aand type B. However, the researcher claims that jicama type A produces more strength comparedto type B. To support this claim, 10kg weight item was put into 100 carrier bags made from jicamatype A and 200 carrier bags made from jicama type B were randomly selected. As a result, 8 bagsfrom jicama type A burst while 12 bags from jicama type B burst. Calculate a 95% confidenceinterval for the difference in true proportion of the carrier bags which burst between jicama type Aand type B. Give comment on the parameter estimate.
a) If the prevalence rate is 50%, the sensitivity is 85%, and the specificity is 90%, what will the PPV value be? b) What are possible slider values that will produce a PPV value of 1? c) What are possible slider valuse that will produce an NPV value of 1? d) If sensitivity and specificity remain constant while prevalence decreases, what effect does that have on the PPV? e) If prevalence and specificity remain constant while sensitivity increases, what effect does that have on the NPV?
Discuss the cause of Heteroskedasticity in regression analysis
QUESTION 12 Historically, the proportion of people who trade in their old car to a car dealer when purchasing a new car is 48%. Over the previous 6 months, in a sample of 115 new-car buyers, 46 have traded in their old car. To determine (at the 10% level of significance) whether the proportion of new-car buyers that trade in their old car has statistically significantly decreased, what can you conclude concerning the null hypothesis? Reject the null hypothesis Fail to reject the null hypothesis

SEE MORE QUESTIONS

Recommended textbooks for you

A First Course in Probability (10th Edition)

Probability

ISBN:

9780134753119

Author:

Sheldon Ross

Publisher:

PEARSON

A First Course in Probability

Probability

ISBN:

9780321794772

Author:

Sheldon Ross

Publisher:

PEARSON

A First Course in Probability (10th Edition)

Probability

ISBN:

9780134753119

Author:

Sheldon Ross

Publisher:

PEARSON

A First Course in Probability

Probability

ISBN:

9780321794772

Author:

Sheldon Ross

Publisher:

PEARSON

SEE MORE TEXTBOOKS