ChromeFile EditView History Bookmarks People Tab Window Help...O O 74%Thu 3:58 PM Q OM InboxA AcadeOBook CengO 76116 A Me XA SALTA SALTA SALTA SALTA SALTA Ceng a-taba webassign.netLow BatteryCloseDo you want to disconnect from"iPhone"?! Apps M GmailYouTube Maps VA VIA Character Str.DisconnectE Untitled documen.2 Supplemental Inst.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 byDavid 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= 67 cm. The ski patrol atVail, 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 64 67 63 74 65 79A USE SALT(1) Use a calculator with sample mean and standard deviation keys to find x and s. (Round your answers to two decimal places.)cmcm(ii) Assume the slab thickness has an approximately normal distribution. Use a 1% level of significance to test the claim that the mean slab thickness in the Vail region is different from that in theregion of Canada.(a) What is the level of significance?State the null and alternate hypotheses.O Ho: H< 67; H,:H = 67O Ho: H = 67; H,: H < 67O Hoi H 67; H,: - 67O Hoi H- 67; H,:H+ 67O Hoi H = 67; H,:H > 67(b) What sampling distribution will you use? Explain the rationale for your choice of sampling distribution.O The Student's t, since we assume that x has a normal distribution and a is unknown.O The standard normal, since we assume that x has a normal distribution and a is known.O The standard normal, since we assume that x has a normal distribution and a is unknown.132stv O AAa19MacBook Pro->G Search or type URLescJEN&%236789del34Y0 PQtabGHJ.KAs lockCVMB.2N

i) x x-x¯ (x-x¯)2 59 -2.8125 7.910156 51 -10.8125 116.9102 76 14.1875 201.2852 38 -23.8125 567.0352 65 3.1875 10.16016 54 -7.8125 61.03516 49 -12.8125 164.1602 62 0.1875 0.035156 68 6.1875 38.28516 55 -6.8125 46.41016 64 2.1875 4.785156 67 5.1875 26.91016 63 1.1875 1.410156 74 12.1875 148.5352 65 3.1875 10.16016 79 17.1875 295.4102 total=989 1700.438 x¯=61.8125 sample variance=113.3625 x¯=61.81s=sample variance=113.3625=10.64 ii) a) level of significance=1% null and alternative hypothesis H0:μ=67H1:μ≠ 67 b) sampling distribution is students t , since we assume x is normally distributed and σ is unknown.

Math

Statistics

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 67 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

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 67 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

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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Question 2: give the rejection region.
question 4 Chen et al. (2000) examined the foraging behaviour of northern elephant seals (Mirounga angustirostris) that breed along the west coast of Mexico and the USA. They attached platform satellite transmitter terminals (PTTs) to 22 male seals and recorded, for each seal, the distance (km) to its main feeding area offshore and the amount of time (days) it spent at the feeding area. The results are presented below: What two null hypotheses are being tested with the output shown above? What statistical conclusions would you draw about these hypotheses? Complete the regression equation by filling in the blanks (to the nearest 3 decimal places). duration = + * distance What is one biological interpretation of this relationship between duration and distance ? What % of the variation in duration at main feeding area was explained by distance to feeding area?
Question A - A company producing steel nails receives an order for 5000 nails of length 50 mm. Due to externalfactors such as temperature and pressure, the lengths of the nails produced by the machine is normallydistributed with a standard deviation of 1.6 mm. Acceptable lengths (lengths that any customer willconsent to buy) must have a tolerance of 2 mm. If the machine is set to produce nails with a meanlength of 5.0 cm, determine the percentage of nails that are acceptable. A. 0.7888 / B. 0.8877 / C. 0.9921 / D. 0.7878 Further to the information provided in question A above, we are informed that nails produced thatare shorter than the minimum acceptable length have to be scrapped. Consider that 4.8cm is still theminimum threshold for acceptable nail length. If the cost to produce one nail is 45 cents, how muchdoes the company incur in Rand losses due to scrapping? A. R247.70 / B. R347.91 / C. R237.60 / D. R471.99 Further considering information given in questions A and question B, if…
Chapter 09, Section 9.2, Problem 019 For the following significance level, what is the probability of making a Type I error? a = 0.02 exact number, no tolerance powered by MapleNet on ion y Study nt Privacy Policy | 2000-2020 John Wiley & Sons, Inc. All Rights Reserved. A Division of John Wiley & Sons, Inc. MacBook Air 80 888 F1 F2 F3 F4 F5 F6 F7 @ 23 2$ & 1 2 3 5 6 8
QUESTION 17 Four different designs for digital computers circuit are being studied to compare the average amount of noise present. A Completely random design have been conducted and the following data have been obtained: Design Noise observed Design Mean 1. 22.4 20 19 30 18 22.4 60 53.0 41 53 60 53.0 3. 36.6 26 25 35 47 36.6 4 75 65.8 6 63 58 65.8 Does the crcuit design affect the average amount of noise? Use a-0.05. One-way ANOVA: Nolse versus Design Tactor Levela Values Design 4 1, 2, 3, 4 Analyain of Variance Source Dr Adi s8 Ads M PValue F-Value Design 4958 1652.50 22.58 0.000 Error 16 1371 73.20 Total 19 6129 Calculate the Dunnett's significant difference to compare two means.
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In semiconductor manufacturing, wet chemical etching is often used to remove silicon from the backs of wafers prior to metallization. The etch rate is an important characteristic in this process. Two different etching solutions have been compared, using two random samples of 9 wafers for each solution. The observed etch rates are as follows: Solution 1. 9.9 10.6 10.3 9.4 9.3 10.0 9.6 10.3 10.2 Solution 2 10.2 10.6 10.5 10.7 10.6 10.2 10.5 9.8 10.6 Can it be concluded at the a = 0.05 level that the solutions are different?
1.Establish null and alternate hypothesis 2.Critical region 3.pvalue 4. Conclusion