DISCUSSION FILE # 16I'm trying to determine if there actually is a difference in 7-iron distance between 3 golf balls I'm thinking aboutplaying. I conducted a study by 15 shots with each type of ball hitting (at random across the ball types) andnoting the total distance of each shot. The results are shown below.What is the conclusion at the alpha = .05 level and why?Analysis of Variance results:Data stored in separate columns.Column meansColumn nBall 1Ball 2Ball 315 151.46666 0.821535515ANOVA tableError15TotalMean Std. ErrorSource dfTreatments 2152.2 0.7571878154.8 0.9719886SS92.04444MS44 552.5777646.0222242 460.53333 10.965079F-Stat P-value0.0218dal4 Reject the null hypothesis because there's a lot of error in the modelO Fail to reject the null hypothesis because the F stat is so smallReject the null hypothesis because the F stat is sufficiently largeFail to reject the null hypothesis because there's sufficient error in the modelReject the null hypothesis because the p-value is so large

I'm trying to determine if there actually is a difference in the 7-iron distance between the 3 golf…

Answered: DISCUSSION FILE # 16 I'm trying to…

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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Researchers at UT Austin noticed that the seagrass beds in Corpus Cristi Bay (CCB) were taller and thicker than those in Lower Laguna Madre (LLM). They compared the sediment ammonium concentration, in the two locations. Following are the summary statistics on sediment ammonium concentration, in micromoles, obtained by the researchers. Equality of variances is not assumed. CCB: X₁ 115.1, s₁= 79.4, n₁ = 51 LLM: X₂ = 24.3, S₂ 10.5, n₂: 19 = a. At the 1% significance level, is there sufficient evidence to conclude that the mean sediment ammonium concentration in CCB exceeds that in LLM? b. Determine a 98% confidence interval for the difference μ1-µ2, between the mean sediment ammonium concentrations in CCB and LLM. Interpret your answer in (a) in words. c. Do the results in (a) and (b) provide the consistent results? Explain.
Say we were testing the effects of taking calcium on bone density levels and obtained a positive and significant value for our independent t test result. What would you write (using APA format) when performing a percentage of variance explained test on the data and received a value of r2=.38.
A one-way Analysis of Variance (ANOVA) was used to examine whether students’ scores on a standardized test is a function of the teaching method they received (either lecture only, hands-on learning only, or both together). The ANOVA was significant. Run post hoc tests (by hand!) to determine which pairs of the mean are significantly different. Do the math for each and then explain in what way are they different. Method N Mean SD Source df SS MS F Lecture Only 15 82.8 9.59 Between 2 736.53 368.27 5.34 Hands-On Only 15 88.53 8.73 Within 42 2895.47 68.94 Both 15 92.67 6.22 Total 44 3632 Total 45 88
Hi, I'm stuck with question 2. Question 1 given the example for this question
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An analysis of variance produces SSb = 40 and MSb = 20. In this analysis, how many treatment conditions are being compared?
Actuaries use various parameters when evaluating the cost of a life insurance policy. The variance of the life spans of a population is one of the parameters used for the evaluation. Each year, the actuaries at a particular insurance company randomly sample 30 people who died during the year (with the samples chosen independently from year to year) to see whether the variance of life spans has changed. The life span data from this year and from last year are summarized below. Current Last Year Year x1 = 75.8 | x,= 76.2 si= 47.61 s3= = 92.16 (The first row gives the sample means and the second row gives the sample variances.) Assume that life spans are approximately normally distributed for each of the populations of people who died this year and people who died last year. Can we conclude, at the 0.05 significance level, that the variance of the life span for the current year, of, differs from the variance of the life span for last year, o,? Perform a two-tailed test. Then complete the…
What is the value of n (the number of observations)? What is the value of Se (standard error for the model) (2 decimals)? What is the average of the x variable (2 decimals)? What is the variance of the x variable (1 decimal)?
Hi there, I am having a difficult time synthesizing this information I obtained from excel. I compiled the data utilizing a two-sample t-Test assuming equal variances. 1. Who is most likely to have prevalent coronary heart disease? Test if there are significant differences in the following risk factors between persons with and without prevalent coronary heart disease (CHD). Summarize the statistical results in the table below and then compare risk factors in persons with and without prevalent CHD. Patient Characteristic* History of CHD (n = 194) No History of CHD (n = 4240) p-value* Age, years 57.48 (7.42) 49.58 (8.57) < 0.001 Systolic blood pressure, mmHg 145.00 (27.03) 132.35 (22.03) < 0.001 Diastolic blood pressure, mmHg 87.14 (14.33) 82.90 (11.91) < 0.001 Total serum cholesterol, mg/dL 243.20 (45.61) 236.70 (44.59) 0.049 Body mass index 26.83 (4.45) 25.80 (4.08) < 0.001 * Mean (Standard deviation).…
Two companies produce small motorcycles of varying quality. An important measure of quality is the top speed the motorcycle can obtain on a flat surface. Do the following data provide evidence that the average top speed of cycles from these two companies differ? Report the p-value to two decimal places. Do not assume equal variances. Top Speed in mph from Company 1 Top Speed in mph from Company 2 21.5 53.0 20.3 40.1 49.6 49.3 43.8 51.6 50.5 52.6 52.5 50.6 47.8 37.0 33.2
The article cited in Exercise 19 provides measures of electrical conductivity (in uS/cm). The results are presented in the following table. Sample Size 49 Location Mean SD Upstream 463 208 Midstream 363 98 31 Downstream 647 878 30 Can a one-way analysis of variance be used to determine whether conductivity varies with location? Or is one of the necessary assumptions violated? Explain.

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