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    Hypothesis

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    1. A typical college student spends an average of 2.55 hours a day using a computer. A sample of 13 students at The University of Findlay revealed the following number of hours per day using the computer:
    3.15 3.25 2.00 2.50 2.65 2.75 2.35 2.85 2.95 2.45 1.95
    2.35 3.75

    Can we conclude that the mean number of hours per day using the computer by students at The University of Findlay is the same as the typical student's usage? Use the hypothesis testing procedure and the 0.05 significance level.

    2. A recent study was designed to compare smoking habits of young women with those of young men. A random sample of 150 women revealed that 45 smoked. A random sample of 100 men indicated that 25 smoked. At the 0.05 significance level does the evidence show that a higher proportion of women smoke? Compute the p-value.

    3. Thomas Economic Forecasting, Inc. and Harmon Econometrics have the same mean error in forecasting the stock market over the last ten years. However, the standard deviation for Thomas is 30 points and 60 points for Harmon. At the 0.05 significance level can we conclude that there is more variation in the forecast given by Harmon Econometrics?

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    https://brainmass.com/statistics/hypothesis-testing/hypothesis-317837

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