Hi could you correct the wrong answers Snow avalanches can be a real problem for travelers in the western United States and Canada. A very common type of avalanche is called the slab avalanche. These have been studied extensivelyby David McClung, a professor of civil engineering at the University of British Columbia. Suppose slab avalanches studied in a region of Canada had an average thickness of u = 69 cm. The skipatrol at Vail, Colorado, is studying slab avalanches in its region. A random sample of avalanches in spring gave the following thicknesses (in cm).59 51 76 38 65 54 49 6268 55 6467 63 74 65 79 (d) Based on your answers in parts (a) to (c), will you reject or fail to reject the null hypothesis? Are the data statistically significant at level a?O At the a = 0.01 level, we reject the null hypothesis and conclude the data are statistically significant.O At the a = 0.01 level, we reject the null hypothesis and conclude the data are not statistically significant.O At the a = 0.01 level, we fail to reject the null hypothesis and conclude the data are statistically significant.O At the a = 0.01 level, we fail to reject the null hypothesis and conclude the data are not statistically significant.

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Description: Hi could you correct the wrong answers Snow avalanches can be a real problem for travelers in the western United States and Canada. A very common type of avalanche is called the slab avalanche. These have been studied extensivelyby David McClung, a p

(d) The descriptive analysis is conducted using EXCEL. The software procedure is given below: Enter…

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(d) Based on your answers in parts (a) to (C), will you reject or fail to reject the null hypothesis? Are the data statistically significant at level a? At the a - 0.01 level, we reject the null hypothesis and conclude the data are statistically significant. O At the a - 0.01 level, we reject the null hypothesis and conclude the data are not statistically significant. • At the a - 0.01 level, we fail to reject the null hypothesis and conclude the data are statistically significant. O At the a - 0.01 level, we fail to reject the null hypothesis and conclude the data are not statistically significant.

(d) Based on your answers in parts (a) to (C), will you reject or fail to reject the null hypothesis? Are the data statistically significant at level a? At the a - 0.01 level, we reject the null hypothesis and conclude the data are statistically significant. O At the a - 0.01 level, we reject the null hypothesis and conclude the data are not statistically significant. • At the a - 0.01 level, we fail to reject the null hypothesis and conclude the data are statistically significant. O At the a - 0.01 level, we fail to reject the null hypothesis and conclude the data are not statistically significant.

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

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Hi could you correct the wrong answers

Snow avalanches can be a real problem for travelers in the western United States and Canada. A very common type of avalanche is called the slab avalanche. These have been studied extensively
by David McClung, a professor of civil engineering at the University of British Columbia. Suppose slab avalanches studied in a region of Canada had an average thickness of u = 69 cm. The ski
patrol at Vail, Colorado, is studying slab avalanches in its region. A random sample of avalanches in spring gave the following thicknesses (in cm).
59 51 76 38 65 54 49 62
68 55 64
67 63 74 65 79

(d) Based on your answers in parts (a) to (c), will you reject or fail to reject the null hypothesis? Are the data statistically significant at level a?
O At the a = 0.01 level, we reject the null hypothesis and conclude the data are statistically significant.
O At the a = 0.01 level, we reject the null hypothesis and conclude the data are not statistically significant.
O At the a = 0.01 level, we fail to reject the null hypothesis and conclude the data are statistically significant.
O At the a = 0.01 level, we fail to reject the null hypothesis and conclude the data are not statistically significant.

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