Quantitative Reasoning II Project: Calculations and Visuals
Create at least three visuals.One visual must be a scatter plot with trend line, equation, R2 value, and prediction value.Two of the remaining required visuals can be of the following format: histogram, box and whisker plot, or pie chart.Please note that the data set that you chose in Week 2 includes data that will not be needed to create your visuals. Quantitative reasoning requires critical thinking to decide what data is necessary. Create a Microsoft® Word document that includes your three visuals and the following items:Title of your project and the scenario you are addressingBrief description of each visual (15 to 50 words)Consider including the following for each visual when applicable:A chart title that is appropriate for the dataA descriptive x-axis labelA descriptive y-axis labelFor your xy scatter plot, make at least one prediction using the trend line equation for a date in the future. How confident are you in this prediction? State your prediction and provide justification (50 to 150 words). If you created a box and whisker plot, describe the central tendency of the values. What does this tell you about the data and about your project?Calculate the mean of the sample data.
"Looking for a Similar Assignment? Order now and Get 15% Discount! Use Code "FIRST15"


Differential equation project
In this mini project,you are expected to provide the following three required components:(1)Problem Statement(2) Background Information(3)Required Work&SolutionThe sections containing your problem statement and background information must be typedusing a font size of 12 in“Times New Roman”.Moreover the background information sectionmust contain“your own words”describing the method used in solving the given problem.The last section can be hand-written but must be neat and easy to follow.
"Looking for a Similar Assignment? Order now and Get 15% Discount! Use Code "FIRST15"


Question
Over the past decade, ABC Manufacturing has increased the number of safety inspections per month in hopes to decrease the number accidents on their production line. Below is a list of how many inspections were conducted in a month and the corresponding number of accidents recorded. Is there a correlation, and has this leadership decision been effective?Inspections Accidents20 18124 19028 16740 16060 12064 12464 11868 9070 9472 85
"Looking for a Similar Assignment? Order now and Get 15% Discount! Use Code "FIRST15"

