Question:

Urgent- 2 sample hypothesis tests?

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In Dallas, some fire trucks were painted yellow to heighten their visibility. During a test period, the fleet of red fire trucks made 153,348 runs and had 20 accidents, while the fleet of yellow trucks made 135,035 runs and had 4 accidents. At a= .01, did the yellow fire trucks have a significantly lower accident rate?

(a) State the hypothesis

(b) state the rule an sketch it

(c) Find the sample proportions and z test statistic

(d) Make a decision

(e) Find the p-value and interpret it

(f) If statistically signficant,do you thinkthe difference is large enough to be important? If so, to hom and why?

(g) Is teh normaity assumption fulfilled? explain

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  1. Two-proportion z-test, equal variances

    (a) H0: p1 - p2 = 0 versus H1: p1 - p2 ≠ 0

    p1 = TRUE AVERAGE POPULATION PROPORTION OF ACCIDENTS FOR RED FIRE TRUCKS

    p2 = TRUE AVERAGE POPULATION PROPORTION OF ACCIDENTS FOR YELLOW FIRE TRUCKS

    (c) SAMPLE PROPORTIONS:

    p1 = 0.000130422  RED FIRE TRUCK ACCIDENTS

    p2 = 0.000029622 YELLOW FIRE TRUCK ACCIDENTS

    Test Statistic formulae:

    Two-proportion z-test, equal variances

    http://en.wikipedia.org/wiki/Statistical...

    Assumptions (for "Normality"):

    n1 * p1 > 5 AND n1 * (1 − p1) > 5 and n2 * p2 > 5 and n2 * (1 − p2) > 5 and independent observations

    Test and CI for Two Proportions

    Sample   X       N  Sample p

    1       20  153348  0.000130

    2        4  135035  0.000030

    Difference = p (1) - p (2)

    Estimate for difference:  0.000100800

    99.5% CI for difference:  (8.990763E-06, 0.000192610)

    Test for difference = 0 (vs not = 0):  Z = 3.08  P-Value = 0.002

    * NOTE * The normal approximation may be inaccurate for small samples.

    Fisher's exact test: P-Value = 0.003

    TEST STATISTIC: P-value < α/2 [0.003 < 0.05/2]

    At 1% level of significance,  H0: p1 - p2 = 0 (Null Hypothesis stating there is zero difference between RED and YELLOW) should be rejected.

    (f) There is a statistically significant difference between RED and YELLOW.

    (g) "Normality" assumptions are not completely satisfied.

    Why??

    n2 * p2 > 5  [ 4 * 0.000029622 = 4] is not > 5

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