b. What's the prob of randomly selecting a pig that added at least 44kg to its weight during the test? How does this predicted number (predicted proportion/percent) compare with the actual number? *Hint: remember there are 100 total samples*

c. What's the probability that a pig would increase no less than 10kg and no more than 47kg?

d. Construct a 99% confidence interval for this data.

An eating disorders clinic would like to evaluate the effectiveness of a mindfulness training program on binge eating disorder (BED). A psychologist was therefore hired to conduct a small study to examine the potential effect of mindfulness training on number of binges per month. The psychologist recruited 10 patients in the clinic to participate in a mindfulness training program and 12 patients in the clinic with similar demographics who do not participate in the mindfulness program. Afterward, all participants reported the number of binges from the previous month. The data are listed in the table below. The psychologist is not predicting a particular direction of the potential differences between the two groups and she sets the alpha level at .05 for the hypothesis test.

1. a) Calculate standard deviation of the comparison distribution

1. b) Calculate the t statistic

1. c) Considering the research question and the hypotheses, should the test be one-tailed or two-tailed? Why?

1. d) Determine the critical t value(s) for this hypothesis test based on the degree of freedom, from (d), and the preset alpha level.

1. e) Compare the calculated t statistic with the critical t value by stating which is more “extreme”, and then make a decision about the hypothesis test by stating clearly “reject” or “fail to reject” the null hypothesis.

f) Calculate the pooled standard deviation for the populations and then use it to calculate the standardized effect size of this test.

Bureau of Transportation Statistics. (2017). RANKING: Bureau of transportation statistics. airline performance - departures: Departures - carrier delay (minutes), 2015. data-planet™ statistical datasets by conquest systems, inc. dataset-ID: 007-002-009 Data-Planet™ Statistical Datasets by Conquest Systems, Inc. doi:10.6068/DP15A2F1D8F5D91

This primary source encompasses the amount of time that was lost by domestic air carriers in 2015. The primary research question for this data set is "How much time is lost by U.S. Air carriers annually -by carrier?". The author obtained the data from inputs by individual airlines, submitted monthly, to the U.S. Department of Transportation. The conclusion is that there is a vast difference between airlines as to time lost by the carrier.

Santos, B. F., Wormer, M. M. E. C., Achola, T. A. O., & Curran, R. (2017). Airline delay management problem with airport capacity constraints and priority decisions. Journal of Air Transport Management, 63, 34-44. doi:10.1016/j.jairtraman.2017.05.003

This source discusses the issues with airline delays and the management of them. It also discusses the follow-on management activities that go on as the result of departure delays and discusses methods for reduction of delay related issues. The authors gathered data from other empirical research and peer-reviewed articles dealing in correlating data. Using an actual case study the authors conclude that there are many follow-on concerns to delayed flights. The mismanagement of correction activities can increase costs and even cause an increase in departure delays.

There are several research questions that stem from the two sources in regards to the research questions. First, I believe it would be important to ask the question, "what is the volume of flights per air carrier per day/month?". Second, "What is the average size of the flight (ASM) per aircraft by the carrier?". Third, I would ask the question, "What airports/populations centers are most affected, and why (environment, location, size of the airport)?". When trying to understand a problem such as this, simple number crunching, data analysis is not enough. The larger airlines could be running at a lower percentage of delay time per aircraft or could be skewed by one particular location due to unforeseen factors. It would be important to the research to understand every contributor and variable. From the second source, the main research question extending from the research is, "how much time delay is contributed to the management or mismanagement of activities designed to reduce further departure delays?". Additionally, I would ponder whether or not flight delays from one air carrier affect other carriers, especially at already congested airports.

I need a quick response to this discussion(exactly what is written here)?

Six jobs are to be processed through a two-step operation. The first operation involves sanding, and the second involves painting. Processing times are as following table.

1. Determine the sequence that will minimize the total completion time for the jobs using Johnson’s rule.
2. Illustrate graphically the throughput time and idle time at the two operations by constructing a time-phased chart.

The current spot exchange rate is $1.55/€ and the three-month forward rate is $1.50/€. You enter into a long position on €1,000. At maturity, the spot exchange rate is $1.40/€. How much have you made or lost? Group of answer choices +$100 -$100 -$50 +$50

What is the margin of error for a 99% CI for a mean, when the sample size is 8, the sample average is 152, the sample std dev is 30, and the sample was drawn from a Normal population? (Enter your answer to two decimals: ex: 12.34).

A 90% confidence interval for the population mean is 30 < mu < 50. What is the sample mean?

A sample of 8 female college students consumes an average of 10 liters of alcohol per month, with a sample standard deviation of 3.9 liters. Monthly alcohol consumption is Normally distributed. What is the margin of error for a 90% Confidence Interval for the mean? (Leave your answer to two decimal places, ex: 18.12)

A basketball player shoots 3 free throws. On each throw, she has a 70% chance of making the shot. Assume the outcomes of the throws are independent. What is the probability that she makes the first two free throws and then misses the last one?

Customers arrive at a service center according to a Poisson process with a mean interarrival

time of 15 minutes.

1. If two customers were observed to have arrived in the first hour, what is the probability that at least

   one arrived in the last 10 minutes of that hour?

We want to investigate now whether the average occupancy rate in May differs across the three regions.2.1 State the null and alternative hypotheses for the above research question.2.2 Conduct a Levene test for the homogeneity of the variances at the 10% level using the absolute deviations from the median. Make sure you state both the null and alternative hypotheses and the conclusions of your test.2.3 Test the null hypothesis in 1.1 at the 10% significance level.2.4 What can you conclude from the above test in 2.3? Explain the importance of the results in 2.2 for the procedure you performed in 2.3.

region id 1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3