By Sally Lesik

ISBN-10: 1420065831

ISBN-13: 9781420065831

ISBN-10: 142006584X

ISBN-13: 9781420065848

Through transparent, step by step mathematical calculations, **Applied Statistical Inference with MINITAB** allows scholars to realize a great figuring out of the way to use statistical suggestions utilizing a statistical software. It makes a speciality of the strategies of self assurance periods, speculation trying out, validating version assumptions, and gear analysis.

*Illustrates the thoughts and techniques utilizing MINITAB*

After introducing a few universal terminology, the writer explains how one can create uncomplicated graphs utilizing MINITAB and the way to calculate descriptive facts utilizing either conventional hand computations and MINITAB. She then delves into statistical inference subject matters, reminiscent of self assurance durations and speculation trying out, in addition to linear regression, together with the Ryan–Joiner attempt. relocating directly to a number of regression research, the textual content addresses ANOVA, the difficulty of multicollinearity, assessing outliers, and extra. It additionally presents a conceptual advent to simple experimental layout and one-way ANOVA. the ultimate bankruptcy discusses two-way ANOVA, nonparametric analyses, and time sequence analysis.

*Establishes a origin for learning extra complicated topics*Ideal for college kids within the social sciences, this article indicates how one can enforce easy inferential suggestions in perform utilizing MINITAB. It establishes the root for college students to construct on paintings in additional complicated inferential statistics.

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**Extra resources for Applied Statistical Inference with MINITAB®**

**Example text**

1 can be categorized as “near” if the round-trip commuting distance is less than 50 miles, or “far” if the round-trip commuting distance is greater than or equal to 50 miles. Because discrete data are categorical in nature, we would use a bar chart instead of a histogram to illustrate how the data are distributed within these two distinct and nonoverlapping categories. 17. 18. 18 that we need to specify the data we wish to code, the column of the worksheet where we want to store the coded data, and the range of values that will be assigned to a given category.

17 MINITAB commands to change data from numeric to text. The whiskers of the box plot extend out to the largest and smallest observations that lie within these upper and lower limits. Outliers are then identified with an asterisk as those observations that lie outside of the whiskers. 18 MINITAB dialog box to code the commuting distance data as a text variable. The largest data value that lies within the upper limit is 19, and the smallest data value that lies within the lower limit is 5, so the whiskers extend out to these values that lie within the upper and lower limits.

7, “Coffee Prices,” gives the prices (in dollars) for a specific brand of coffee from ten different stores in New York City and Kansas City, Missouri. 41. In order to draw these two histograms together on the same graph, you first need to put the data in two columns, one column for the coffee prices and the other column for the city. 40 MINITAB command to draw a cluster of bar charts on a single graph. 41 MINITAB commands to draw a normal curve for more than one sample of data. The data set “Ferry” consists of a selection of variables for a ferry company that describe the revenue, time of day the ferry left the dock, number of passengers on the ferry, number of large objects on the ferry, the weather conditions, and the number of crew for a random sample of twenty-seven ferry runs over the course of a month.

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