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Two Brands of Flares - Brand 1 and Brand 2

Question 21

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Two brands of flares - Brand 1 and Brand 2 - are tested for their burning times (in minutes) .A random sample of 40 of each brand of flare are burned and timed.In order to compute a bootstrap confidence interval for the difference in population means,400 subsequent bootstrap samples were taken and the resulting values of Two brands of flares - Brand 1 and Brand 2 - are tested for their burning times (in minutes) .A random sample of 40 of each brand of flare are burned and timed.In order to compute a bootstrap confidence interval for the difference in population means,400 subsequent bootstrap samples were taken and the resulting values of   *-   * were are ordered from lowest to highest.The first 10 and last 10 ordered values of   *-   * are given below:   Use the percentile method to compute a 95% bootstrap confidence interval for the true difference in the average burning time (Brand 1 - Brand 2) . A) (0.4,7.5)  B) (1.3,6.3)  C) (1.2,6.8)  D) (1.8,5.1)  E) (0.4,8.1)
*- Two brands of flares - Brand 1 and Brand 2 - are tested for their burning times (in minutes) .A random sample of 40 of each brand of flare are burned and timed.In order to compute a bootstrap confidence interval for the difference in population means,400 subsequent bootstrap samples were taken and the resulting values of   *-   * were are ordered from lowest to highest.The first 10 and last 10 ordered values of   *-   * are given below:   Use the percentile method to compute a 95% bootstrap confidence interval for the true difference in the average burning time (Brand 1 - Brand 2) . A) (0.4,7.5)  B) (1.3,6.3)  C) (1.2,6.8)  D) (1.8,5.1)  E) (0.4,8.1)
* were are ordered from lowest to highest.The first 10 and last 10 ordered values of Two brands of flares - Brand 1 and Brand 2 - are tested for their burning times (in minutes) .A random sample of 40 of each brand of flare are burned and timed.In order to compute a bootstrap confidence interval for the difference in population means,400 subsequent bootstrap samples were taken and the resulting values of   *-   * were are ordered from lowest to highest.The first 10 and last 10 ordered values of   *-   * are given below:   Use the percentile method to compute a 95% bootstrap confidence interval for the true difference in the average burning time (Brand 1 - Brand 2) . A) (0.4,7.5)  B) (1.3,6.3)  C) (1.2,6.8)  D) (1.8,5.1)  E) (0.4,8.1)
*- Two brands of flares - Brand 1 and Brand 2 - are tested for their burning times (in minutes) .A random sample of 40 of each brand of flare are burned and timed.In order to compute a bootstrap confidence interval for the difference in population means,400 subsequent bootstrap samples were taken and the resulting values of   *-   * were are ordered from lowest to highest.The first 10 and last 10 ordered values of   *-   * are given below:   Use the percentile method to compute a 95% bootstrap confidence interval for the true difference in the average burning time (Brand 1 - Brand 2) . A) (0.4,7.5)  B) (1.3,6.3)  C) (1.2,6.8)  D) (1.8,5.1)  E) (0.4,8.1)
* are given below: Two brands of flares - Brand 1 and Brand 2 - are tested for their burning times (in minutes) .A random sample of 40 of each brand of flare are burned and timed.In order to compute a bootstrap confidence interval for the difference in population means,400 subsequent bootstrap samples were taken and the resulting values of   *-   * were are ordered from lowest to highest.The first 10 and last 10 ordered values of   *-   * are given below:   Use the percentile method to compute a 95% bootstrap confidence interval for the true difference in the average burning time (Brand 1 - Brand 2) . A) (0.4,7.5)  B) (1.3,6.3)  C) (1.2,6.8)  D) (1.8,5.1)  E) (0.4,8.1)
Use the percentile method to compute a 95% bootstrap confidence interval for the true difference in the average burning time (Brand 1 - Brand 2) .


A) (0.4,7.5)
B) (1.3,6.3)
C) (1.2,6.8)
D) (1.8,5.1)
E) (0.4,8.1)

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