Category: Mathematics – Statistics

week2 stats

Descriptive Statistics For this assignment, use the data you created in your W1 Midweek Assignment. Using Microsoft Excel and following the instructions given in your lecture, choose and run the appropriate descriptive statistics (graphic and numerical) to describe the sample’s age, sex, height, and year in college. Copy your output tables and graphs to a […]

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week 2

Final Project For this assignment, use data from W1 Project. Using Microsoft Excel and following the instructions given in your lecture, choose and run the appropriate descriptive statistics to describe the characteristics of the sample under study (sex, age, and ethnicity) and Recall1, making sure you include: A graph The appropriate measure of central tendency […]

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Discussion and 2 replies

  Last year Marion Dairies decided to enter the yogurt market, and it began cautiously by producing, distributing, and marketing a single flavora blueberry-flavored yogurt that it calls Blugurt. The companys initial venture into the yogurt market has been very successful; sales of Blugurt are higher than expected, and consumers ratings of the product have […]

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Post 3

Post (300+ words):  Give an example of an interval estimate of an average or proportion you may use in your daily life. For instance, you may say that you are pretty sure your average commute time is between 25-30 minutes, or you are fairly confident that between 60-65% of the population love dogs. Collect some […]

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Post 2

Post (300+ words): Collect some quantitative data (if your data from week 1 is quantitative, you can use it). Find the sample mean and standard deviation. Plot it in a histogram. Does the data seem to follow the bell curve of the normal distribution? What features of the data do or do not fit in […]

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below and attached

  Enterprise risk management software identifies patterns in credit card fraud by analyzing user transaction history and inferring probabilities through algorithms that utilize Bayesian neural networks. Unfortunately, credit card fraud detection algorithms may also result in false positives due to incomplete information. Define eventsF : Transaction is fraudulent,N : Transaction is normal,where F is the […]

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stats

please answer teh following and attached , each in separate files    A company running an urban rail service wishes to estimate its daily average number of late-running trains on weekdays. For 10 randomly selected weekdays, it finds the following numbers of late running trains: 32, 10, 9, 18, 25, 15, 14, 18, 22, 16 […]

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Discussion Question

For your response posts to your peers, choose two different confidence intervals for your responses. Do you think the agents would prefer a different confidence interval than their management? What advantages and disadvantages would there be in having different confidence intervals for the agents? Explain your thought process and reasoning in your response.  #1   While […]

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week2 stats discussions

You are part of a school and have to report the results of standardized test scores. Which measure of central tendency would you use? Assume that you don’t know how your students will perform; consider the general effects of outliers on the three measures of central tendency. Research and summarize the general effects that outliers […]

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Project one

In this project, you will demonstrate your mastery of the following competencies: Implement statistical analysis using quantitative and qualitative variables Apply statistical techniques to address research problems Scenario You are a data analyst working for a real estate company based in Seattle. You have access to a large set of historical data that you can […]

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