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    Degrees of freedom, Non-parametric tests, Chi-Square, ANOVA

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    DQ 1
    A recent study of four hundred accidents that occurred on a Saturday night were analyzed. Information collected was the number of vehicles involved and if alcohol played a role in the accident.

    Role of Alcohol? Number of Vehicles Involved
    1 2 3 Totals
    Yes 50 100 20 170
    No 25 175 30 230
    Totals 75 275 50 400

    Degrees of freedom for this test are:
    a. 4
    b. 3
    c. 2
    d. 1

    DQ 2
    Non-parametric tests that require a minimum of ordinal level data can be applied to interval or ratio data.
    a. True
    b. False

    DQ 3
    Briefly list the components associated to the Chi-Square

    DQ 4
    Based on your knowledge of economics, how do you think Economic Consumption theory relates to the ANOVA Team project:

    I know I did not give you much of the study information, but with the information you have and your calculations, can you infer or predict how Haitians behave as consumers in regards to Consumption theory?

    (Hint about Consumption Theory): Think about this statement: "When you make more money you spend......"

    A Model of Socio-Economic Differences
    Housing the Ultra-Poor: Theory and Practice in Haiti

    The following study was developed by Economist Simon Fass. Fass surveyed a sample population of low-income households in St. Martin. The variables analyzed were monthly income per adult and choice of rental contract for housing.

    All families in St. Martin had to opt for one of 3 available time packages. They could pay in advance for a week, a month, or six months; and the shorter the time package, the higher the unit price. Payment by the week cost 10 to 20 percent more in monthly rent per square meter than payment by the month, and payment by the month cost twice as much as for 6 months. But offsetting the higher unit cost was the advantage of lower cash outlays. To obtain a week of housing required an average prepayment of $1.55. A month cost $5.30 and 6 months $18.90 (Fass, 1987)

    You must determine if there is a difference among the income of the adults in respect to the housing contract they choose. Could the data of income be drawn from the same population or are we possibly looking at 2 or maybe 3 different sample population.

    Fass, Simon. (1987). Housing the Ultra-Poor: Theory and Practice in Haiti. American Planning Association Journal, spring, pp. 193-205. Giventer, L.L. (1990). Statistical Analysis for Public Administration, (1), 11-20 to 11-21.

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