Histograms Made Easy
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Creating Histograms with a ready-made Excel template.
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Interpretation of histograms
This document provides information on interpreting histograms from cell counters. It discusses the principles of electronic impedance and optical light scatter cell counting methods. Histograms graphically represent cell population data based on cell size on the x-axis and cell number on the y-axis. Normal ranges are provided for red blood cell, platelet, and white blood cell histograms. Various flags that could appear are described, including possible causes such as platelet clumping, red blood cell agglutination, or extreme leukocytosis. Parameters for each cell type are also defined.
1 7 Notes
A scatter plot graphs two sets of data as ordered pairs to show the relationship between the variables. The independent variable determines the dependent variable's value. A positive relationship is shown by an upward sloping line, while a negative relationship slopes downward. Random points indicate no relationship. The document provides examples of scatter plots and questions to determine the type of relationship between variables.
Dr. IU Khan Assignment
The normal distribution, also called the Gaussian distribution, is a very common continuous probability distribution. It is often used to represent real-valued random variables whose actual distributions are unknown. The normal distribution depends on two parameters: the mean (μ) and the variance (σ2). It is symmetric and bell-shaped, with the mean, median and mode all being equal and located at the center. Some key properties include that approximately 68%, 95% and 99.7% of the data lies within 1, 2 and 3 standard deviations of the mean, respectively. The normal distribution was discovered independently by de Moivre and Laplace and is also associated with Gauss.
Percentages
This document discusses percentages and percent problems. It defines a percentage as a fraction with a denominator of 100. Percentages make it easy to compare quantities. A percent problem has three parts: the amount, the base, and the percent. The amount is part of the whole (base). The percent expresses the ratio of the amount to the base as a percentage. The document provides examples and exercises for identifying these parts and calculating unknown values in percent problems using the formula: Percent = Amount/Base x 100.
Scatter plot
The document discusses determining the correlation between different sintering process variables. It provides background on scatter plots, correlation coefficients, and coefficient of determination. The results of analyzing correlations between green part dimensions vs sintered part dimensions, green weight vs dimensions, and other pairings are reported. Positive correlation was found between green and sintered dimensions, while other relationships showed no or negative correlation.
Histograms explained
A talk I gave at BarCamp Brighton 3 to explain what histograms are and how you can use them. Also introduces my little web service and bookmarklet for histogramming any photo across the web.
Scatter Plot Prese
This document presents a scatter plot showing the relationship between education level and unemployment rate in 2010. It finds a strong negative correlation, with higher levels of education associated with lower unemployment rates. Specifically, those with only a high school diploma had an unemployment rate around 10%, while those with a doctorate degree had only about 2% unemployment. The data suggests that greater educational attainment leads to lower chances of unemployment.
Scatter Plot
This document contains a scatter plot showing median weekly earnings in 2010 based on educational attainment in the United States according to the Department of Labor and Statistics. It shows that earnings generally increase the more years spent in education, from $444 for 11 years of education (no high school diploma) to $1,610 for 20 years of education (professional degree). The analysis concludes that there is a relationship between educational attainment and earnings, with more education correlating with higher earnings.
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Interpretation of histograms
This document provides information on interpreting histograms from cell counters. It discusses the principles of electronic impedance and optical light scatter cell counting methods. Histograms graphically represent cell population data based on cell size on the x-axis and cell number on the y-axis. Normal ranges are provided for red blood cell, platelet, and white blood cell histograms. Various flags that could appear are described, including possible causes such as platelet clumping, red blood cell agglutination, or extreme leukocytosis. Parameters for each cell type are also defined.
1 7 Notes
A scatter plot graphs two sets of data as ordered pairs to show the relationship between the variables. The independent variable determines the dependent variable's value. A positive relationship is shown by an upward sloping line, while a negative relationship slopes downward. Random points indicate no relationship. The document provides examples of scatter plots and questions to determine the type of relationship between variables.
Dr. IU Khan Assignment
The normal distribution, also called the Gaussian distribution, is a very common continuous probability distribution. It is often used to represent real-valued random variables whose actual distributions are unknown. The normal distribution depends on two parameters: the mean (μ) and the variance (σ2). It is symmetric and bell-shaped, with the mean, median and mode all being equal and located at the center. Some key properties include that approximately 68%, 95% and 99.7% of the data lies within 1, 2 and 3 standard deviations of the mean, respectively. The normal distribution was discovered independently by de Moivre and Laplace and is also associated with Gauss.
Percentages
This document discusses percentages and percent problems. It defines a percentage as a fraction with a denominator of 100. Percentages make it easy to compare quantities. A percent problem has three parts: the amount, the base, and the percent. The amount is part of the whole (base). The percent expresses the ratio of the amount to the base as a percentage. The document provides examples and exercises for identifying these parts and calculating unknown values in percent problems using the formula: Percent = Amount/Base x 100.
Scatter plot
The document discusses determining the correlation between different sintering process variables. It provides background on scatter plots, correlation coefficients, and coefficient of determination. The results of analyzing correlations between green part dimensions vs sintered part dimensions, green weight vs dimensions, and other pairings are reported. Positive correlation was found between green and sintered dimensions, while other relationships showed no or negative correlation.
Histograms explained
A talk I gave at BarCamp Brighton 3 to explain what histograms are and how you can use them. Also introduces my little web service and bookmarklet for histogramming any photo across the web.
Scatter Plot Prese
This document presents a scatter plot showing the relationship between education level and unemployment rate in 2010. It finds a strong negative correlation, with higher levels of education associated with lower unemployment rates. Specifically, those with only a high school diploma had an unemployment rate around 10%, while those with a doctorate degree had only about 2% unemployment. The data suggests that greater educational attainment leads to lower chances of unemployment.
Scatter Plot
This document contains a scatter plot showing median weekly earnings in 2010 based on educational attainment in the United States according to the Department of Labor and Statistics. It shows that earnings generally increase the more years spent in education, from $444 for 11 years of education (no high school diploma) to $1,610 for 20 years of education (professional degree). The analysis concludes that there is a relationship between educational attainment and earnings, with more education correlating with higher earnings.
PIE CHART
This document provides instructions on how to construct a pie chart. It explains that a pie chart represents data in circular sections, with the central angle of each section proportional to the percentage of the total value it represents. It provides an example of exam results data and shows how to calculate the central angle for each result and draw a pie chart representing this information.
Scatter Plot
Scatter plots are a quality tool used to show the relationship between two variables. They graph pairs of numerical data with one variable on each axis to look for correlation. If the variables are correlated, the data points will fall along a line or curve, indicating a relationship. Scatter plots are useful for determining potential causes of problems by identifying which process elements are related and how strongly. They involve collecting paired data, plotting the independent variable on the x-axis and dependent variable on the y-axis, and examining the shape and slope of the resulting cluster of points.
notes on how to draw bar graphs and histograms
The document provides information about different types of graphs including bar graphs, double bar graphs, and histograms. It explains how to interpret and construct each type of graph using example data. Bar graphs can display and compare single or multiple data sets using vertical bars of different heights. Double bar graphs are used to compare two related data sets side by side. Histograms are bar graphs that show the frequency distribution of continuous data using equal interval bins on the x-axis. The document demonstrates how to make each graph type by following steps such as choosing scales, drawing bars, and labeling axes.
Features of gaussian distribution curve
The Gaussian distribution, also known as the normal distribution, is a continuous probability distribution with a bell-shaped curve. It is defined by two parameters: the mean and the standard deviation. The normal distribution is symmetric about its mean and has many useful properties, including that the sum of independent normal variables is also normally distributed. It is one of the most important probability distributions in statistics.
Normal Distribution
The normal distribution is a continuous probability distribution defined by its probability density function. A random variable has a normal distribution if its density function is defined by a mean (μ) and standard deviation (σ). The normal distribution is symmetrical and bell-shaped. It is commonly used to approximate other distributions when the sample size is sufficiently large.
How to draw Scatter plot on SPSS
The document discusses how to create a scatter plot in SPSS showing the relationship between a mother's body mass index (BMI) and baby's birth weight. It recommends placing BMI on the x-axis as the risk factor and birth weight on the y-axis as the outcome. The scatter plot shows a positive association between higher maternal BMI and increased baby birth weight. About 18.6% of the variability in birth weight is accounted for by the mother's BMI.
Bar Graph
This document provides information about bar graphs:
- Bar graphs use bars of equal width to show frequencies of different classes or groups. They can show relationships between two or more items.
- The key parts of a bar graph are the title, horizontal and vertical axes labeled with intervals, and bars whose heights represent recorded frequencies.
- An example bar graph shows the favorite movie of 30 grade 7 students, with the most popular being at 25 students and the least being at 5 students.
Bar Graphs
The document discusses using bar graphs to represent crime data from the town of Columbia over 5 years. It explains how bar graphs can be manipulated by changing the scale or starting point to either minimize or exaggerate differences in the data. Three example graphs are shown - a normal graph and one graph each that minimizes and exaggerates the differences. The chief of police is asked to choose a graph for a town council presentation and explain the choice.
Circle Graphs
The document discusses circle graphs or pie charts as a way to display percentages or parts of a whole, with each sector of the circular graph representing a portion and being proportional in size to the amount. It provides properties of circle graphs and outlines the steps for constructing one, including determining if the data is suitable, calculating the percentages, drawing the graph, and labeling it with titles and sectors. An example is also provided to demonstrate the construction of a circle graph.
Pie chart
The document discusses how to draw and calculate percentages for a pie chart. It provides an example of survey data about which day students would paint scenery for a school play. The data is used to calculate the angles for each sector of the pie chart based on the total of 360 degrees. Students are then asked to draw the pie chart, include a key, and calculate the percentage for each sector. Peer assessment is also discussed to check work for points and stars.
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This document discusses key concepts related to percentages, profit, loss, and discounts. It provides examples of calculating percentages of quantities, converting fractions to percentages, and percentages to decimals. It also demonstrates how to calculate profit and loss amounts based on cost price and selling price. Examples are given for calculating profit percentage, loss percentage, and determining selling price given cost price and profit percentage. The document also defines discounts and provides an example of calculating the actual cost of an article to a dealer given the marked price, discount percentage, and profit percentage made.
Bar chart
done by : ( ABCD'S &G )
alaa ba-jafar
abrar alshahranii
sahab filfilan
nada alharbi
shahd rajab
Ghadeer suwaimil
I hope that you enjoy and you benefit❤
Percentages
This document provides information on calculating percentages. It defines what a percentage is as a fraction of 100 and explains how to calculate percentages using a simple formula. An example is provided to demonstrate calculating the percentage of different types of fruits in a basket containing a total of 20 fruits. The percentages are calculated by taking the number of fruits of each type, dividing by the total number of fruits, and multiplying by 100. The document also shows how to calculate percentages when given the percentage, whole, or part.
Profit and loss
Miss Tami bought a shirt for Rp 50,000 and sold it for Rp 75,000, making a profit. Miss Tina's shirt was broken so she sold it for Rp 40,000, at a loss since she bought it for Rp 50,000. The document also defines profit as a selling price higher than the buying price, and loss as a lower selling price. It provides formulas to calculate profit/loss amounts and percentages. As an example, it says Mrs. Eka bought a dozen pens for Rp 18,000 and sold each for Rp 2,250, so she would make a profit or loss based on the totals.
7.8 Simple and Compound Interest
This document discusses simple and compound interest. It provides examples of calculating simple interest using the formula I=PRT, where I is interest, P is principal, R is interest rate, and T is time in years. It then explains compound interest, where interest is earned on both the principal and previously earned interest. The key compound interest formula provided is B=P(1+R)n, where B is the final balance, P is principal, R is the interest rate per period, and n is the number of periods. Examples are given of calculating interest compounded annually and semiannually.
STATISTICS: Normal Distribution
The document provides an outline and explanation of key concepts related to the normal distribution. It begins with an introduction to probability distributions for continuous random variables and the definition of a density curve. It then defines terms and symbols used in the normal distribution, including mean, standard deviation, and z-scores. The document explains the characteristics of the normal distribution graphically and provides examples of finding areas under the normal curve using z-tables. It concludes with examples of finding unknown z-values and calculating probabilities for specific scenarios involving the normal distribution.
Normal distribution stat
1) The document discusses the characteristics and properties of the normal distribution, including that it is bell-shaped and symmetrical about the mean.
2) It defines z-values as a way to standardize normal distributions by transforming data values into standard scores based on the mean and standard deviation.
3) Examples are provided to demonstrate calculating probabilities using the standard normal distribution, such as finding the percentage of observations that fall within a certain number of standard deviations from the mean.
Chapter 2: Frequency Distribution and Graphs
This document discusses different types of graphs and charts that can be used to represent frequency distributions of data, including histograms, frequency polygons, ogives, bar charts, pie charts, and stem-and-leaf plots. It provides examples of how to construct each graph or chart using sample data sets and discusses key aspects of each type such as class intervals, relative frequencies, and ordering of data. Guidelines are given for determining the optimal number of classes and class widths for grouped data. Exercises at the end provide practice applying these techniques to additional data sets.
Normal distribution
The document discusses the normal distribution and its key properties: bell-shaped and symmetrical around the mean, extending from negative to positive infinity with an area under the curve of 1. Approximately 95% and 99.9% of the distribution lies within 2 and 3 standard deviations of the mean, respectively. It also discusses how to calculate probabilities using the standard normal distribution where the mean is 0 and standard deviation is 1, and how to standardize other normal distributions.
Profit and loss
Mr. Patil started a poultry business with 102 birds with an initial investment of Rs. 5,000. In the first month, 7 birds died and expenses totaled Rs. 2,040. With 95 remaining birds averaging 1.8 kg each and selling at Rs. 15/kg, sales totaled Rs. 2,565. By subtracting expenses from sales, Mr. Patil made a profit of Rs. 525 in the first month. In a second scenario where 40 birds died instead of 7, students are assigned to recalculate the profit or loss.
Math 533 week 6 more help
The document provides examples and step-by-step instructions for conducting linear regression analyses in Minitab. It discusses how to find confidence intervals for slopes, interpret regression results, make predictions based on regression equations, and conduct hypothesis tests regarding the significance of regression slopes. For example 4, the null hypothesis is that the slope β1 equals 0, indicating crossword puzzle success and jelly beans consumed are not linearly related, while the alternative is that β1 does not equal 0, meaning they are linearly related. The t-statistic is 1.93490422105 and the p-value is 0.075, so the null cannot be rejected at the 0.10 significance level.
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This document provides examples for 3 homework problems from a statistics class. Problem 18 demonstrates how to calculate the range, mean, variance, and standard deviation of a data set using Minitab software. Problem 22 shows how to identify the minimum, maximum, quartiles, and interquartile range from a box and whisker plot. Problem 24 matches z-scores to a histogram by considering their relationship to the mean and standard deviation.
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This document provides instructions on how to construct a pie chart. It explains that a pie chart represents data in circular sections, with the central angle of each section proportional to the percentage of the total value it represents. It provides an example of exam results data and shows how to calculate the central angle for each result and draw a pie chart representing this information.
Scatter Plot
Scatter plots are a quality tool used to show the relationship between two variables. They graph pairs of numerical data with one variable on each axis to look for correlation. If the variables are correlated, the data points will fall along a line or curve, indicating a relationship. Scatter plots are useful for determining potential causes of problems by identifying which process elements are related and how strongly. They involve collecting paired data, plotting the independent variable on the x-axis and dependent variable on the y-axis, and examining the shape and slope of the resulting cluster of points.
notes on how to draw bar graphs and histograms
The document provides information about different types of graphs including bar graphs, double bar graphs, and histograms. It explains how to interpret and construct each type of graph using example data. Bar graphs can display and compare single or multiple data sets using vertical bars of different heights. Double bar graphs are used to compare two related data sets side by side. Histograms are bar graphs that show the frequency distribution of continuous data using equal interval bins on the x-axis. The document demonstrates how to make each graph type by following steps such as choosing scales, drawing bars, and labeling axes.
Features of gaussian distribution curve
The Gaussian distribution, also known as the normal distribution, is a continuous probability distribution with a bell-shaped curve. It is defined by two parameters: the mean and the standard deviation. The normal distribution is symmetric about its mean and has many useful properties, including that the sum of independent normal variables is also normally distributed. It is one of the most important probability distributions in statistics.
Normal Distribution
The normal distribution is a continuous probability distribution defined by its probability density function. A random variable has a normal distribution if its density function is defined by a mean (μ) and standard deviation (σ). The normal distribution is symmetrical and bell-shaped. It is commonly used to approximate other distributions when the sample size is sufficiently large.
How to draw Scatter plot on SPSS
The document discusses how to create a scatter plot in SPSS showing the relationship between a mother's body mass index (BMI) and baby's birth weight. It recommends placing BMI on the x-axis as the risk factor and birth weight on the y-axis as the outcome. The scatter plot shows a positive association between higher maternal BMI and increased baby birth weight. About 18.6% of the variability in birth weight is accounted for by the mother's BMI.
Bar Graph
This document provides information about bar graphs:
- Bar graphs use bars of equal width to show frequencies of different classes or groups. They can show relationships between two or more items.
- The key parts of a bar graph are the title, horizontal and vertical axes labeled with intervals, and bars whose heights represent recorded frequencies.
- An example bar graph shows the favorite movie of 30 grade 7 students, with the most popular being at 25 students and the least being at 5 students.
Bar Graphs
The document discusses using bar graphs to represent crime data from the town of Columbia over 5 years. It explains how bar graphs can be manipulated by changing the scale or starting point to either minimize or exaggerate differences in the data. Three example graphs are shown - a normal graph and one graph each that minimizes and exaggerates the differences. The chief of police is asked to choose a graph for a town council presentation and explain the choice.
Circle Graphs
The document discusses circle graphs or pie charts as a way to display percentages or parts of a whole, with each sector of the circular graph representing a portion and being proportional in size to the amount. It provides properties of circle graphs and outlines the steps for constructing one, including determining if the data is suitable, calculating the percentages, drawing the graph, and labeling it with titles and sectors. An example is also provided to demonstrate the construction of a circle graph.
Pie chart
The document discusses how to draw and calculate percentages for a pie chart. It provides an example of survey data about which day students would paint scenery for a school play. The data is used to calculate the angles for each sector of the pie chart based on the total of 360 degrees. Students are then asked to draw the pie chart, include a key, and calculate the percentage for each sector. Peer assessment is also discussed to check work for points and stars.
Percentage,profit and loss
This document discusses key concepts related to percentages, profit, loss, and discounts. It provides examples of calculating percentages of quantities, converting fractions to percentages, and percentages to decimals. It also demonstrates how to calculate profit and loss amounts based on cost price and selling price. Examples are given for calculating profit percentage, loss percentage, and determining selling price given cost price and profit percentage. The document also defines discounts and provides an example of calculating the actual cost of an article to a dealer given the marked price, discount percentage, and profit percentage made.
Bar chart
done by : ( ABCD'S &G )
alaa ba-jafar
abrar alshahranii
sahab filfilan
nada alharbi
shahd rajab
Ghadeer suwaimil
I hope that you enjoy and you benefit❤
Percentages
This document provides information on calculating percentages. It defines what a percentage is as a fraction of 100 and explains how to calculate percentages using a simple formula. An example is provided to demonstrate calculating the percentage of different types of fruits in a basket containing a total of 20 fruits. The percentages are calculated by taking the number of fruits of each type, dividing by the total number of fruits, and multiplying by 100. The document also shows how to calculate percentages when given the percentage, whole, or part.
Profit and loss
Miss Tami bought a shirt for Rp 50,000 and sold it for Rp 75,000, making a profit. Miss Tina's shirt was broken so she sold it for Rp 40,000, at a loss since she bought it for Rp 50,000. The document also defines profit as a selling price higher than the buying price, and loss as a lower selling price. It provides formulas to calculate profit/loss amounts and percentages. As an example, it says Mrs. Eka bought a dozen pens for Rp 18,000 and sold each for Rp 2,250, so she would make a profit or loss based on the totals.
7.8 Simple and Compound Interest
This document discusses simple and compound interest. It provides examples of calculating simple interest using the formula I=PRT, where I is interest, P is principal, R is interest rate, and T is time in years. It then explains compound interest, where interest is earned on both the principal and previously earned interest. The key compound interest formula provided is B=P(1+R)n, where B is the final balance, P is principal, R is the interest rate per period, and n is the number of periods. Examples are given of calculating interest compounded annually and semiannually.
STATISTICS: Normal Distribution
The document provides an outline and explanation of key concepts related to the normal distribution. It begins with an introduction to probability distributions for continuous random variables and the definition of a density curve. It then defines terms and symbols used in the normal distribution, including mean, standard deviation, and z-scores. The document explains the characteristics of the normal distribution graphically and provides examples of finding areas under the normal curve using z-tables. It concludes with examples of finding unknown z-values and calculating probabilities for specific scenarios involving the normal distribution.
Normal distribution stat
1) The document discusses the characteristics and properties of the normal distribution, including that it is bell-shaped and symmetrical about the mean.
2) It defines z-values as a way to standardize normal distributions by transforming data values into standard scores based on the mean and standard deviation.
3) Examples are provided to demonstrate calculating probabilities using the standard normal distribution, such as finding the percentage of observations that fall within a certain number of standard deviations from the mean.
Chapter 2: Frequency Distribution and Graphs
This document discusses different types of graphs and charts that can be used to represent frequency distributions of data, including histograms, frequency polygons, ogives, bar charts, pie charts, and stem-and-leaf plots. It provides examples of how to construct each graph or chart using sample data sets and discusses key aspects of each type such as class intervals, relative frequencies, and ordering of data. Guidelines are given for determining the optimal number of classes and class widths for grouped data. Exercises at the end provide practice applying these techniques to additional data sets.
Normal distribution
The document discusses the normal distribution and its key properties: bell-shaped and symmetrical around the mean, extending from negative to positive infinity with an area under the curve of 1. Approximately 95% and 99.9% of the distribution lies within 2 and 3 standard deviations of the mean, respectively. It also discusses how to calculate probabilities using the standard normal distribution where the mean is 0 and standard deviation is 1, and how to standardize other normal distributions.
Profit and loss
Mr. Patil started a poultry business with 102 birds with an initial investment of Rs. 5,000. In the first month, 7 birds died and expenses totaled Rs. 2,040. With 95 remaining birds averaging 1.8 kg each and selling at Rs. 15/kg, sales totaled Rs. 2,565. By subtracting expenses from sales, Mr. Patil made a profit of Rs. 525 in the first month. In a second scenario where 40 birds died instead of 7, students are assigned to recalculate the profit or loss.
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إضغ بين إيديكم من أقوى الملازم التي صممتها
ملزمة تشريح الجهاز الهيكلي (نظري 3)
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تتميز هذهِ الملزمة بعِدة مُميزات :
1- مُترجمة ترجمة تُناسب جميع المستويات
2- تحتوي على 78 رسم توضيحي لكل كلمة موجودة بالملزمة (لكل كلمة !!!!)
#فهم_ماكو_درخ
3- دقة الكتابة والصور عالية جداً جداً جداً
4- هُنالك بعض المعلومات تم توضيحها بشكل تفصيلي جداً (تُعتبر لدى الطالب أو الطالبة بإنها معلومات مُبهمة ومع ذلك تم توضيح هذهِ المعلومات المُبهمة بشكل تفصيلي جداً
5- الملزمة تشرح نفسها ب نفسها بس تكلك تعال اقراني
6- تحتوي الملزمة في اول سلايد على خارطة تتضمن جميع تفرُعات معلومات الجهاز الهيكلي المذكورة في هذهِ الملزمة
واخيراً هذهِ الملزمة حلالٌ عليكم وإتمنى منكم إن تدعولي بالخير والصحة والعافية فقط
كل التوفيق زملائي وزميلاتي ، زميلكم محمد الذهبي 💊💊
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- 1. B Heard Histograms Made EasyStatistics For Decision Making Not to be used, posted, etc. without my expressed permission. B Heard
- 2. Before we get started, go to http://highered.mcgraw-hill.com/sites/0070620164/student_view0/excel_templates.html And download/save the “Histogram” File to your computer Histograms Made Easy Not to be used, posted, etc. without my expressed permission. B Heard
- 4. The first thing you need to do is go to the Review Tab and click “Unprotect Sheet” Not to be used, posted, etc. without my expressed permission. B Heard
- 6. Histograms Made Easy You can see the column only contains my 30 data points now. I copied my data and then used “Paste Special” to paste only the “Values”, then I cleared the data left over from the template’s original analysis. Not to be used, posted, etc. without my expressed permission. B Heard
- 8. It’s 244-95 = 149 for the home run data
- 9. Let’s now divide 149 by 9 to get 149/9 = 16.5, we are going to round up to 17 for starters and see how that works out for us. You can always “tweak” this a little if needed.
- 10. Let’s now take a look at the template again.Not to be used, posted, etc. without my expressed permission. B Heard
- 11. Keys to the Central Limit Theorem Notice I chose 94 for my “Start” because it’s one below my minimum. I entered my “Interval Width” as 17 as described on the previous chart. I chose an “End” value of 246, one above my maximum. Notice the Bin Labels are a little scrambled, don’t worry about that right now. Not to be used, posted, etc. without my expressed permission. B Heard
- 12. Histograms Made Easy This is what we have right now. It is a good “sketch” of a histogram. Let’s look at fixing the Bin Labels. Not to be used, posted, etc. without my expressed permission. B Heard
- 13. No Need to Worry! Just grab the graph in bottom right hand corner and pull to make it larger. (YOU CAN’T DO THIS UNLESS YOU HAVE UNPROTECTED THE SHEET) Histograms Made Easy
- 14. Voila! It is beautiful, you can just right click, copy, and paste wherever you need to! Histograms Made Easy
- 15. Histograms Made Easy Hopefully this will help you in creating Histograms. Play around with the template, you can do some interesting things. We would love to hear if it helps you! Visit us on Facebook at www.facebook.com/statcave Not to be used, posted, etc. without my expressed permission. B Heard