Random samples of two species of iris gave the following petal lengths (in cm). x1, Iris virginica 5.2 5.9 4.5 4.9 5.7 4.8 5.8 6.4 5.7 5.9 x2, Iris versicolor 4.5 4.9 4.7 5.0 3.8 5.1 4.4 4.2     Find the value of the chi-square statistic for the sample. (Round your answer to two decimal places.)   What are the degrees of freedom?   (b) Find a 90% confidence interval for the population standard deviation of  x1.  (Round your answers to two decimal places.) lower limit   upper limit         Find the value of the sample F statistic. (Round your answer to two decimal places.)

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Random samples of two species of iris gave the following petal lengths (in cm).

x1Iris virginica 5.2 5.9 4.5 4.9 5.7 4.8 5.8 6.4 5.7 5.9
x2Iris versicolor 4.5 4.9 4.7 5.0 3.8 5.1 4.4 4.2    

Find the value of the chi-square statistic for the sample. (Round your answer to two decimal places.)
 

What are the degrees of freedom?

 

(b) Find a 90% confidence interval for the population standard deviation of 

x1.

 (Round your answers to two decimal places.)

lower limit  
upper limit      

 

Find the value of the sample F statistic. (Round your answer to two decimal places.)

 

Expert Solution
Step 1

Given data provides random samples of two species of iris gave the following petal lengths (in cm). 

  • Mean & standard deviation for x1Iris virginica : 

The sample size is . The provided sample data along with the data required to compute the sample mean X¯ and sample variance  are shown in the table below:

  X X2
  5.2 27.04
  5.9 34.81
  4.5 20.25
  4.9 24.01
  5.7 32.49
  4.8 23.04
  5.8 33.64
  6.4 40.96
  5.7 32.49
  5.9 34.81
Sum = 54.8 303.54

The sample mean X¯ is computed as follows:

Statistics homework question answer, step 1, image 1

Also, the sample variance  is 

Statistics homework question answer, step 1, image 2

Therefore, the sample standard deviation is  

Statistics homework question answer, step 1, image 3

 

  • Mean & standard deviation for x2, Iris versicolor :   

The sample size is n = 8. The provided sample data along with the data required to compute the sample mean X¯ and sample variance s^2 are shown in the table below:

  X X2
  4.5 20.25
  4.9 24.01
  4.7 22.09
  5 25
  3.8 14.44
  5.1 26.01
  4.4 19.36
  4.2 17.64
Sum = 36.6 168.8

The sample mean X¯ is computed as follows:  

Statistics homework question answer, step 1, image 4

Also, the sample variance  is 

Statistics homework question answer, step 1, image 5

Therefore, the sample standard deviation is  

Statistics homework question answer, step 1, image 6

Step 2

The provided sample variance is s^2 = 0.6 and the sample size is given by n = 10.

Null and Alternative Hypotheses

The following null and alternative hypotheses need to be tested:

Ho: \sigma^2 = 0.3025

Ha: \sigma^2 > 0.3025

This corresponds to a right-tailed test, for which a Chi-Square test for one population variance will be used.

Rejection Region

Based on the information provided, the significance level is \alpha = 0.05, and the the rejection region for this right-tailed test is R = \{\chi^2: \chi^2 > 16.919\}.

Test Statistics

The Chi-Squared statistic is computed as follows: 

Statistics homework question answer, step 2, image 1

Decision about the null hypothesis

Since it is observed that , it is then concluded that the null hypothesis is rejected.

Conclusion

It is concluded that the null hypothesis Ho is rejected. Therefore, there is enough evidence to claim that the population variance  is greater than 0.3025, at the 0.05 significance level.

 

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