I need help asap!Does the population mean rings score depend on the age of the gymnast? Consider the three age groups: 11-13, 14-16, and 17-19. Use the results from the 2007, 2011, and 2015 Individual Male All-Around Finals as sample data. (not a question)DATA201514.1201514.7201513.7201513.45201514.2201511.25201513.5201513.6201512.75201512.75201512.45201513.25201512.5201513201510.6201512.65201511.45201512.55201512.8201510.8201510.6201513.220159.95201510.1520159.7201510.15201510.35201511.9201510.5520159.5520158.620159.220159.8520159.7520159.252015no data201113.4201113.05201112.34201112.45201111.9201110.8201111.65201111.7201112.15201112.45201112.6201112.05201112.55201111.8201111.2201110.75201111.35201111.35201111.05201111201110.9201112.4201111.4201111.45201110.6201110.25201111.3201111.05201111.120119.720119.252011920117.320118.420119.1520118.55200712.4200712.75200712.4200713.15200712.05200712.8200711.95200711.35200712.35200711.5200710.9200711.55200711.65200712.2200711.3200712.05200711.65200711.3200711.4200711.45200712.35200710.85200711200710.5200710.35200711.05200710.9200710.05200710.6200712.4200710.5520079.95200710.12007no data2007no data2007no dataa) Perform at the 10% significance level the one-way ANOVA test to compare the population mean rings scores for each of the three age groups assuming that all of the requirements are met. Should we reject or not reject the claim that there is no difference in population mean scores between the age groups?

Answered: a) Perform at the 10% significance…

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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I need help asap!

Does the population mean rings score depend on the age of the gymnast? Consider the three age groups: 11-13, 14-16, and 17-19. Use the results from the 2007, 2011, and 2015 Individual Male All-Around Finals as sample data. (not a question)

DATA

2015	14.1
2015	14.7
2015	13.7
2015	13.45
2015	14.2
2015	11.25
2015	13.5
2015	13.6
2015	12.75
2015	12.75
2015	12.45
2015	13.25
2015	12.5
2015	13
2015	10.6
2015	12.65
2015	11.45
2015	12.55
2015	12.8
2015	10.8
2015	10.6
2015	13.2
2015	9.95
2015	10.15
2015	9.7
2015	10.15
2015	10.35
2015	11.9
2015	10.55
2015	9.55
2015	8.6
2015	9.2
2015	9.85
2015	9.75
2015	9.25
2015	no data
2011	13.4
2011	13.05
2011	12.34
2011	12.45
2011	11.9
2011	10.8
2011	11.65
2011	11.7
2011	12.15
2011	12.45
2011	12.6
2011	12.05
2011	12.55
2011	11.8
2011	11.2
2011	10.75
2011	11.35
2011	11.35
2011	11.05
2011	11
2011	10.9
2011	12.4
2011	11.4
2011	11.45
2011	10.6
2011	10.25
2011	11.3
2011	11.05
2011	11.1
2011	9.7
2011	9.25
2011	9
2011	7.3
2011	8.4
2011	9.15
2011	8.55
2007	12.4
2007	12.75
2007	12.4
2007	13.15
2007	12.05
2007	12.8
2007	11.95
2007	11.35
2007	12.35
2007	11.5
2007	10.9
2007	11.55
2007	11.65
2007	12.2
2007	11.3
2007	12.05
2007	11.65
2007	11.3
2007	11.4
2007	11.45
2007	12.35
2007	10.85
2007	11
2007	10.5
2007	10.35
2007	11.05
2007	10.9
2007	10.05
2007	10.6
2007	12.4
2007	10.55
2007	9.95
2007	10.1
2007	no data
2007	no data
2007	no data

a) Perform at the 10% significance level the one-way ANOVA test to compare the population mean rings scores for each of the three age groups assuming that all of the requirements are met. Should we reject or not reject the claim that there is no difference in population mean scores between the age groups?

Definition Definition Measure of central tendency that is the average of a given data set. The mean value is evaluated as the quotient of the sum of all observations by the sample size. The mean, in contrast to a median, is affected by extreme values. Very large or very small values can distract the mean from the center of the data. Arithmetic mean: The most common type of mean is the arithmetic mean. It is evaluated using the formula: μ = 1 N ∑ i = 1 N x i Other types of means are the geometric mean, logarithmic mean, and harmonic mean. Geometric mean: The nth root of the product of n observations from a data set is defined as the geometric mean of the set: G = x 1 x 2 ... x n n Logarithmic mean: The difference of the natural logarithms of the two numbers, divided by the difference between the numbers is the logarithmic mean of the two numbers. The logarithmic mean is used particularly in heat transfer and mass transfer. ln x 2 − ln x 1 x 2 − x 1 Harmonic mean: The inverse of the arithmetic mean of the inverses of all the numbers in a data set is the harmonic mean of the data. 1 1 x 1 + 1 x 2 + ...

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