Please use the t-table provided at the end of this exam to find a range of the p-value for your teststatistic.What is your conclusion based on the test? Use a = 0.05 as the significance level. Explain youranswer. 4. [Ocean Weather]Information about ocean weather can be extracted from radar returns with the aid of a special algorithm. Astudy is conducted to estimate the difference in wind speed as measured on the ground and via the Seasatsatellite. To do so, wind speeds (miles per hour) are measured on the ground and via the Seasat satellitesimultaneously at 12 special times. The data is shown in the following table. The table also shows the differencebetween the wind speed on the ground and that via the Seasat satellite at each time, as well as some summarystatistics.DifferenceTimeGround (x) Satellite (y) d= x – y14.464.080.383.993.940.0533.735.00-1.2743.295.20-1.914.823.920.9066.716.210.5074.615.95-1.348.3.873.070.803.174.76-1.59104.423.251.17113.764.89-1.13123.304.80-1.50d = -0.41Sd = 1.14It is claimed that the wind speed measured on the ground is lower than that measured via theSatellite on average. Set up your hypotheses to test this claim. Be sure to define the parameters you usedin the test.Write down the formula of the t statistic for the test in Part (a) and calculate the value of the teststatistic based on the observed data. Keep the second decimal place in your final answer.

The objective is to find value test statistic of given data .

Answered: 4. [Ocean Weather] Information about…

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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The assessment of diet is an important exposure for many disease outcomes. However, there is often much imprecision in dietary recall. In one study, 70-to 79-year-old women were asked about the preschool diet of their children (ages 2−4) using a food frequency questionnaire (FFQ). A unique aspect of the study is that simultaneous diet record data exist on the same children recorded in real time by their mothers when they were ages 2−4 and their mothers were 20 to 40 years old. The data in Table 11.36 were available on average servings of margarine per week. ID FFQ DR 340 7 0 399 7 0.5 466 0 0 502 0 0 541 0 0 554 7 2.5 558 7 3 605 7 0.5 611 21 3.7 618 0 2.5 653 21 4.1 707 7 8.5 The Pearson correlation between intake from the two re-cording methods was 0.448. Assume that FFQ and DR margarine intake are normally distributed. Question: Provide a 95% confidence interval for ρ. #95% CI for z r <- 0.448 #Fisher's transformation of rz <-…
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You were asked to help with an analysis of birth weights (BW) of 10,000 infants born in NYC during a certain period of time. The aim of the analysis is to see whether the birth weights of the infants are associated with mothers’ AGE at birth (continuous variable in years), mothers’ current HOUSING status (“own” and “not-own”; “own” is the reference group), and NYC boroughs (the BOROUGH variable contains 5 categories “Manhattan”, “Bronx”, “Brooklyn”, “Queens” and “Staten Island”; “Manhattan” is the reference group). Write down the population model that estimates the effect of mother’s AGE on BW while adjusting for mother’s current HOUSING status. If you use dummy or binary variables, specify what they mean. Write down the population model that estimates the effect of mother’s AGE on BW while adjusting for mother’s current HOUSING status and BOROUGH. If you use dummy or binary variables, specify what they mean. Write down the population model that estimates the effect of mother’s AGE…
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The authors of a paper compared two different methods for measuring body fat percentage. One method uses ultrasound, and the other method uses X-ray technology. The table gives body fat percentages for 16 athletes using each of these methods (a subset of the data given in a graph that appeared in the paper). For purposes of this exercise, you can assume that the 16 athletes who participated in this study are representative of the population of athletes. Athlete 0 Ho: Md = Ha: Md 0 < 0 5 6 7 8 9 10 11 12 13 14 15 16 X-ray 4.75 7.00 9.25 12.00 17.25 29.50 5.50 6.00 8.00 8.50 9.25 11.00 12.00 14.00 17.00 18.00 USE SALT Ultrasound 4.75 4.00 9.00 11.75 17.00 27.75 6.50 6.75 8.75 9.75 9.50 12.00 12.25 15.75 18.00 18.50 X Find the test statistic and P-value. (Use a table or SALT. Round your test statistic to one decimal place and your P-value to three decimal places.) t = P-value = 0.000 Mx-ray ultrasound.)

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