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Excel 2007: Business Statistics
Illustration by Neil Webb

Excel 2007: Business Statistics

with Curt Frye

Video: Welcome

Hi! I'm Curt Frye. Welcome to Excel 2007 Business Statistics. In this course, I'll show you powerful techniques you can use to analyze your business data to help you make better decisions about your company and its operations. I'll start by showing you how to use Excel's built-in tools to manage your data, examine your formulas, and install the Analysis ToolPak add-in which greatly expands your ability to analyze data in Excel. Next, I'll define important statistical terms, discuss the two different types of statistical analysis, and provide an overview of how you can use statistics to help run your business.
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  1. 2m 14s
    1. Welcome
      1m 25s
    2. Using the exercise files
      49s
  2. 10m 19s
    1. Introducing statistical analysis
      3m 28s
    2. Understanding statistical terms
      4m 26s
    3. Using statistics
      2m 25s
  3. 11m 14s
    1. Creating and using an Excel table
      4m 50s
    2. Installing the Analysis ToolPak
      2m 41s
    3. Auditing formulas step by step
      3m 43s
  4. 28m 23s
    1. Creating frequency distributions for qualitative data
      4m 42s
    2. Summarizing data using bar graphs and pie charts
      4m 44s
    3. Creating a frequency distribution using the FREQUENCY function
      4m 0s
    4. Creating a histogram
      2m 55s
    5. Calculating a running total
      5m 6s
    6. Summarizing data using a PivotTable
      6m 56s
  5. 55m 3s
    1. Calculating mean, median, and mode
      7m 2s
    2. Calculating a moving average
      3m 10s
    3. Calculating a seasonal forecast
      3m 34s
    4. Calculating percentiles and quartiles
      5m 54s
    5. Calculating variance and standard deviation
      6m 59s
    6. Summarizing data using descriptive statistics
      3m 47s
    7. Summarizing data using z-scores
      3m 24s
    8. Summarizing data using t-scores
      4m 55s
    9. Calculating covariance
      5m 1s
    10. Calculating correlation
      4m 11s
    11. Calculating correlations for more than two data sets
      3m 41s
    12. Calculating and interpreting chi-square values
      3m 25s
  6. 39m 33s
    1. Visualizing the normal data distribution
      6m 19s
    2. Generating random values
      4m 30s
    3. Calculating binomial probabilities
      4m 1s
    4. Calculating probabilities using the exponential distribution
      5m 58s
    5. Calculating values using the Poisson distribution
      5m 6s
    6. Calculating dependent trials using the hypergeometric distribution
      5m 46s
    7. Calculating probabilities, permutations, and combinations
      7m 53s
  7. 48m 23s
    1. Selecting effective data samples
      9m 19s
    2. Inferring a population mean from a sample mean
      6m 9s
    3. Inferring population distributions based on a proportion of the data set
      4m 10s
    4. Estimating the size of a population given numbered samples
      7m 17s
    5. Calculating a confidence interval for a large sample
      5m 45s
    6. Calculating a confidence interval for a small sample using t-tests
      4m 25s
    7. Calculating a confidence interval given a population proportion
      5m 34s
    8. Calculating sample size required for a given confidence level
      5m 44s
  8. 48m 11s
    1. Defining hypotheses and identifying errors
      5m 15s
    2. Performing one-tailed tests on a large sample's mean
      3m 56s
    3. Performing two-tailed tests on a large sample's mean
      5m 46s
    4. Testing a small sample's mean
      4m 16s
    5. Testing the mean of a population proportion
      5m 21s
    6. Estimating the difference between two populations' means
      5m 37s
    7. Testing hypotheses related to population means
      5m 42s
    8. Inferring results from matched samples selected from two populations
      4m 38s
    9. Analyzing variance using an F-test
      3m 48s
    10. Analyzing variance using ANOVA
      3m 52s
  9. 14m 46s
    1. Creating a linear regression line for an XY (scatter) chart
      2m 30s
    2. Analyzing and interpreting data from the Regression tool
      4m 57s
    3. Estimating and predicting data using the regression formula
      3m 20s
    4. Developing a multiple regression model
      3m 59s
  10. 1m 3s
    1. Additional Resources
      1m 3s

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Watch the Online Video Course Excel 2007: Business Statistics
4h 19m Intermediate Dec 08, 2010

Viewers: in countries Watching now:

Excel 2007: Business Statistics with Curtis Frye shows managers and executives how to assess their organization's data effectively by applying statistical analysis techniques. The course covers important statistical terms and definitions, and then dives into techniques using the tools in Excel: formulas and functions for calculating averages and standard deviations, charts and graphs for summarizing data, and the Analysis ToolPak add-in for even greater insights into data. Exercise files are included with the course.

Topics include:
  • Understanding statistical terms
  • Creating a basic Excel table
  • Auditing formulas
  • Creating frequency distributions for qualitative data
  • Calculating a running total
  • Creating a histogram
  • Using PivotTables
  • Calculating mean, median, mode, and other numerical data
  • Using probability distributions
  • Population sampling
  • Testing hypotheses
  • Developing liner and multiple regression models
Subjects:
Business Data Analysis Finance
Software:
Excel
Author:
Curt Frye

Welcome

Hi! I'm Curt Frye. Welcome to Excel 2007 Business Statistics. In this course, I'll show you powerful techniques you can use to analyze your business data to help you make better decisions about your company and its operations. I'll start by showing you how to use Excel's built-in tools to manage your data, examine your formulas, and install the Analysis ToolPak add-in which greatly expands your ability to analyze data in Excel. Next, I'll define important statistical terms, discuss the two different types of statistical analysis, and provide an overview of how you can use statistics to help run your business.

With that information in mind, I'll dive into the specifics of statistics in Excel, showing you how to summarize your data by using charts and graphs, creating frequency distributions for non-numerical data, and by calculating averages, standard deviations, and other useful statistics. The last half of the course presents more advanced techniques, such as analyzing several distinct data distributions, inferring information about a data set based on a sample, and testing hypotheses.

I'll end the course with a look at forecasting and linear regression, techniques that you can use to plan the future of your business. Excel 2007 provides powerful statistical capabilities that help you gain useful insights. I'm sure you'll find this course will be time well spent.

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