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Define “Critical path”, “Slack time”, “Resource Levelling” and “Dummy activity”

Define “Critical path”, “Slack time”, “Resource Levelling” and “Dummy activity” with reference to PERT and CPM.
An architect has been awarded a contract to prepare plans for an urban renewal project. The job consists of the following activities and their estimated value. Draw a critical path arrow diagram for this project, indicate the critical path and calculate the total slack and free slack for each activity.

A person is interested in studying the amount of time (in minutes) people spend

A person is interested in studying the amount of time (in minutes) people spend on social media in day. The following data is collected from a sample of 12 people: 45, 60, 25, 55, 75, 90, 100, 120, 105, 80, 0, and 220. Does the data contain an outlier(s)? Explain your reasoning. (Use the empirical rule and use the quartile method to check).

Sir this is a group work for all 3 of us it is 2000 words i think you have to co

Sir this is a group work for all 3 of us
it is 2000 words
i think you have to co

Sir this is a group work for all 3 of us
it is 2000 words
i think you have to come up with the data and find it let me know and its due tomorrow night

This assignment needs to be completed using SPSS. I will attach the questions fr

This assignment needs to be completed using SPSS. I will attach the questions from the textbook. The questions are exercises 11.11, 11.13, 11.26, and 11.27. For question 11.13 use the same data from 11.11 and for question 11.27, use the same data from 11.26.

Regression & correlation Use R to run the statistics. Use APA format a. Use

Regression & correlation

Use R to run the statistics.
Use APA format

a. Use

Regression & correlation

Use R to run the statistics.
Use APA format

a. Use the GE dataset

Make a correlation table using the variables stroke, chd, diabetes, BMI, age, gender and smoking. (Note you will need to make dummy variables to do this.)

What factors are associated with the incidence of stroke? Do this with a regression controlling for the different factors.

What factors are associated with the incidence of CHD? Do this with a regression controlling for the different factors. (use logistic regression – logit)

What factors are associated with hypertension?

b. Use the Nursing data

What factors are associated with job satisfaction?

DB: Module 2 Practice Tests Chapters 4 & 5: Post your Math questions from chapte

DB: Module 2 Practice Tests Chapters 4 & 5: Post your Math questions from chapters 4 & 5.
3434 unread replies.3434 replies.
You are required to post (at least) one question and its solution either from Chapters 4 & 5 Practice Tests posted under the modules, or any source of your choice (per grading policy in the syllabus). You must read all the posts and make sure not to duplicate any questions; similar questions are acceptable.
Read all the posts: questions and solutions posted by others first, and pick a different question to post (No duplication is allowed). A question with One-word solution, One-line solution, or Definition is not acceptable and results in ZERO Points for the post . (10 points)Write the question number and copy down the question
Show all steps using the math equation editor or embed an image solution as explained below.
Find a similar problem online, or on YouTube, or Khan Academy and post the link. (5 points)
Comment on (Explain) at least one classmate question that is either solved or is found online and posted by watching it carefully in its entirety. Explain about what the question addressed and what you learned from it and outline a few steps you learned as a result; a compliment is nice but is not a comment. To receive credit for this part, write the name of your classmate. (5 points)
Example of a Student Post (Made up example):
1. Question 15: Find the mean, median, mode, and range for the following Population list: 13, 18, 13, 14, 13, 16, 14, 21, 13
Solution: �=∑��=13+18+13+14+13+16+14+21+139=9
The median is the middle value, so rank the data first: 13, 13, 13, 13, 14, 14, 16, 18, 21
Population size: N = 9, so the middle value will be the (9 + 1) ÷ 2 = 10 ÷ 2 = 5th number:
13, 13, 13, 13, 14, 14, 16, 18, 21 ⟹��=14
The mode is the number that is repeated more often than any other: ⟹��=13
��=��−��=21−13=8
2. Similar Question found on YouTube: Find the mean, median, mode, and range
https://www.youtube.com/watch?v=k3aKKasOmIwLinks to an external site.
3. Comment on question by John Doe’s YouTube post: This post was about finding the Z Scores; they represent number of standard deviations away from the mean. A positive Z-score indicates a score which is above the average score in class. A negative Z-score indicates a score which is below the average score in class. A zero Z-score indicates a score equal to the average score in class.
https://www.youtube.com/watch?v=1yYCyAwg-7gLinks to an external site.
Grades: A positive Z Score represents a grade greater than the mean (average) grade in class. A negative Z Score represents a grade smaller than the mean (average) grade in class. A zero Z Score represents a grade that is equal to the mean (average) grade in class.
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Please refer to the following instructions for “How to Embed an Image in Canvas Discussion” for help.How to Embed an Image into a Canvas Discussion Board – YouTubeLinks to an external site.
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To use the Math editor:Reply
Insert
Click on the symbol for the square root of x

Assignment 1: Learning and Applying Tests of Significance Throughout this assign

Assignment 1: Learning and Applying Tests of Significance
Throughout this assign

Assignment 1: Learning and Applying Tests of Significance
Throughout this assignment you will review six mock studies. Follow the step-by-step instructions: a. Mock Studies 1 – 3 require you to enter data from scratch. You need to create a data set for each of the three mock studies by yourself. (Refresh the data entry skill acquired in Week 1.) b. Mock Studies 4 – 6 require you to use the GSS dataset specified in the course. The variables are given in each Mock Study.
c. Go through the five steps of hypothesis testing (below) for EVERY mock study. d. All calculations should be coming from your SPSS. You will need to submit the SPSS output file (.spv) to get credit for this assignment. The five steps of hypothesis testing when using SPSS are as follows:
1. State your research hypothesis (H1) and null hypothesis (H0).
2. Identify your significance level (alpha) at .05 or .01, based on the mock study. You only need to use ONE level of significance (either .05 or .01) as specified in the instructions. 3. Conduct your analysis using SPSS.
4. Look for the valid score for comparison. This score is usually under ‘Sig 2-tail’ or ‘Sig. 2’ or ‘Asymptotic Sig.’ We will call this “p.”
5. Compare the two and apply the following rule:
a. If “p” is < or = alpha, then you reject the null. b. Please explain what this decision means in regards to this mock study. (Ex: Will you recommend counseling services?) Please make sure your answers are clearly distinguishable. Perhaps you could bold your font or use a different color.

One goal of statistics is to identify relations among variables. What happens to

One goal of statistics is to identify relations among variables. What happens to one variable as another variable changes? Does a change in one variable cause a change in another variable? These questions can lead to powerful methods of predicting future values through linear regression.

It is important to note the true meaning and scope of correlation, which is the nature of the relation between two variables. Correlation does not allow us to say that there is any causal link between the two variables. In other words, we cannot say that one variable causes another; however, it is not uncommon to see such use in the news media. An example is shown below. Here we see that, at least visually, there appears to be a relation between the divorce rate in Maine and the per capita consumption of margarine. Does this data imply that all married couples in Maine should immediately stop using margarine to stave off divorce? Common sense tells us that is probably not true.

This is an example of a spurious correlation in which there appears to be a relation between the divorce rate and margarine consumption, but it is not a causal link.

The appearance of such a relation could merely be due to coincidence or perhaps another unseen factor.
What is one instance where you have seen correlation misinterpreted as causation? Please describe.

Assignment 1: Learning and Applying Tests of Significance Throughout this assign

Assignment 1: Learning and Applying Tests of Significance
Throughout this assign

Topic 1: Results from surveys or opinion polls often report a range of values—th

Topic 1:
Results from surveys or opinion polls often report a range of values—th

Topic 1:
Results from surveys or opinion polls often report a range of values—the sample statistic plus or minus a margin of error (the resulting range is called a confidence interval). This tells us that the range is likely to contain the population parameter. How much wiggle room we provide is based on how much confidence we wish to have that the range contains the actual population mean. That confidence level is directly related to the middle “truth” area we will accept versus the dubious tail area we will reject—also known as alpha (α). The more confidence we wish to have—the more middle ground we will need to accept (more wiggle room)—thus a smaller tail area. If we insist on a larger alpha (more dubious tail area), we narrow the middle ground we will accept and thus provide less wiggle room—so the more likely it is that we will miss the true average (and, thus, we have a lower confidence level). A 95% confidence level leaves 5% alpha. A 99% confidence level leaves 1% alpha.
Now, without calculating a mean or margin of error or a confidence level, provide an example from your personal life that describes a measurement that is normal—and how much wiggle room on either side would be appropriate. When would you want a 95% confidence interval, and when would you want a 99% confidence level (a little more wiggle room—so a wider range)?