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I need an explanation for this Management question to help me study.

This assignment is straightforward:

In 500+ of your own words [note that there are ~250 here already, shoot for 750 if you’re watching the counter], answer FIVE (5) or more of the following questions. No fancy formatting needed, you can insert your answers underneath the relevant questions if you like.

Ten Questions (Please tackle at least five)
Reflect on your thinking, learning, and work in this course. What are you most proud of? Where did you encounter struggle in this course, and what did you do to deal with it? What about your thinking, learning, or work in this course brought you the most satisfaction? Why? What was frustrating you? How did you deal with that frustration? What lessons were learned from failure in this course? Where did you meet success, and who might benefit most from what you’ve learned along the way? How can you share this with them? What are your next steps? Which of those steps will come easiest? Where will the terrain become rocky? What can you do now to navigate the road ahead with the most success? What made you curious in this course? How did I help you in this course? How did I hinder you in this course? What can I do tomorrow to help others who follow? How did you help the class and/or your group? How did you hinder them? What can you do in the future to help other learners more?Financial Mathematics assignment
I need help with a Mathematics question. All explanations and answers will be used to help me learn.

2. It consists of 9 questions in total, with the last two requiring the use of a spreadsheet program, such as Excel.

3. You are to show all your work, as you will be marked on your full solution along with your final answer, and part marks will be available. You can type up your solutions or use a Tablet/iPad, or you can write them out by hand. You will ultimately need to upload them to Gradescope. That means you will need to scan your solutions (including your computer question solutions) and upload them as one PDF document to Gradescope (just like you had to do for Test 1). AND do not forget to “assign” your questions — let Gradescope (and thus by extension, the TA’s) on what page is the solution(s) to question 1, on what page is the solution(s) to question 2, on what page is the solution(s) to question 3(a), on what page is the solution to 3(b), and so on.

Write clearly and darkly — best to use a DARK PEN or DARK PENCIL to write your solutions. The “lighter” your hand written solutions look, the HARDER it is to mark.

4. For the spreadsheet questions, you do not need to show your formulas or equations. Just your results. It is probably best to print off your results and scan them as part of the solutions to your whole assignment. Or use whatever method you can to save your spreadsheet solutions as a PDF.

And make sure your spreadsheet solutions look “nice”, just like how you would want them to look if you were giving a presentation to a room full of managers or customers. You will be marked on your values AND on how the output looks which means you may LOSE marks if your output looks “messy”. So make sure you round to the nearest cent for dollar figures (don’t show 3, 4, 5 or more decimals for dollar amounts) and maybe up to 4 decimals for any rates or percentages that you have to calculate/display.Stat 101 Lab #1: nursing assignment help services
I don’t know how to handle this Statistics question and need guidance.

Lab 1 – Measures of Central Tendency & Variability (Excel Version)
You will need to have Microsoft Excel installed onto your computer. To get a free version, please access LACCD’s FAQ about getting Microsoft Office 365
Measures of Central Tendency
What are measures of central tendency? This group of statistics is an attempt to describe a distribution of raw data by one score. This score is to be the most representative of the given data. We discussed three such measures in class: (1) Mean, (2) Median, and (3) Mode.

Mean. Mean is defined as the sum of all data points x divided by the number of data points n , or Mean = sum(x) / n

In the computation of mean, one is assuming equal intervals on the scale of a given measurement. Thus, the mean should only be employed if the scale of measurement is at least at the interval level of measurement.

Median. Median is a function of ordered data. That is, you have to first order your observations from the smallest to highest one according to the value. Then, the median is defined as the middle most score. In computation of the median, only the order is assumed. Thus, data has to be at least at the ordinal level of measurement.

Mode. Mode is defined as the most often occurring score. Since the computation of the mode does not assume either equal intervals, nor ordered observations, it can be used for all levels of measurement (including and mainly used with data at the nominal level of measurement).
Measures of Dispersion
Besides being able to describe the data by most representative score, one also wants to know how do the observations differ from one another. Why would one want to know this? Well, the dispersion (variability) of observations is associated with the measurement error and individual differences. Thus, the bigger the differences among observations, the more error exists in our measurement, or the more differences among the subjects. Additionally, the dispersion measures help to further discriminate one data set from another. For example, the measure of dispersion can be used to help in differentiating distributions that might have identical measures of central tendency. This is but one use of the measures of dispersion. Later, in hypothesis testing, the use of measures of dispersion will take on another meaning. In this lab, you will be introduced to four measures of dispersion: (1) Range, (2) Interquartile Range (IQR), (3) Standard Deviation, and (4) Variance.

Range. Range is defined as the difference between the upper real limit of the largest value and the lower real limit of the smallest value or

URL Xmax – LRL Xmin

Computation of range does assume order in your data set, since you have to identify the minimum and maximum value. With caution, range can be employed when data are at least at the ordinal level of measurement.

Interquartile Range. This range is defined as a difference between Q3 and Q1, where Q3 is the 75th percentile and Q1 is the 25th percentile. Xth percentile is a score that lies in an ordered data set at such a position that the X percent of data has value less or equal to this score.

IQR = Q3 – Q1

IQR has exactly the same requirements regarding the level of measurement as the range, above.

Variance and Standard Deviation. Variance for a population is defined as the sum of squared differences divided by the number of observations, or

Var = ∑(X – μ)2 / N

You can think of the variance as a squared distance that each score would have if all scores were to be equally distant from the mean. Standard Deviation is just a square root of variance. Standard Deviation can be thought of as an average distance that a data point in a given distribution has from the mean. Computation of Variance and Standard Deviation assumes equal intervals. Thus, data has to be at least at the interval level of measurement.

The Table below should help you figure out what graphs and measures of central tendency and dispersion are appropriate for different levels of measurement:

Table 1

Level of Measurement

Central Tendency

Dispersion

Graphs

Nominal

Mode

None

Bar chart

Ordinal

Mode, Median

Range, IQR

Bar chart, Histogram,

Interval

Mode, Median, Mean

Range, IQR, Variance, Standard Deviation

Histogram,

Ratio

Mode, Median, Mean

Range, IQR, Variance, Standard Deviation

Histogram

Look to Lab Assignment #1 to remind yourself of the level of measurement of each variable. Then, produce the appropriate measures of central tendency and dispersion for all four variables (see Table 1 for the appropriate measures). Round answers to the nearest 2 decimal places. (when appropriate)

Download the following file and open it in Microsoft Excel: Lab 1 – Excel Ver.xlsx

Question 1.

Example Data (MPG))

Mean = Median = Mode =

Range Standard Deviation =

Enter the appropriate scale of measure for this data set in the spaces below.

Scale of Measure =

Type of Graph =

Question 2.

Gender

HINT: You may not have to fill all the spaces provided. If an answer can not be provided, enter “none” in the space provided.

Mean = Median = Mode =

Range Standard Deviation =

Enter the appropriate scale of measure for this data set in the spaces below.

Scale of Measure =

Type of Graph =

Question 3.

Current Salary

HINT: You may not have to fill all the spaces provided. If an answer can not be provided, enter “none” in the space provided.

Mean = Median = Mode =

Range Standard Deviation =

Enter the appropriate scale of measure for this data set in the spaces below.

Scale of Measure =

Type of Graph =

Question 4.

Area Code

HINT: You may not have to fill all the spaces provided. If an answer can not be provided, enter “none” in the space provided.

Mean = Median = Mode =

Range Standard Deviation =

Enter the appropriate scale of measure for this data set in the spaces below.

Scale of Measure =

Type of Graph =

Question 5.

Race

HINT: You may not have to fill all the spaces provided. If an answer can not be provided, enter “none” in the space provided.

Mean = Median = Mode =

Range Standard Deviation =

Enter the appropriate scale of measure for this data set in the spaces below.

Scale of Measure =

Type of Graph =

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