The management of some industry is considering a new method of assembling its products. The present method requires 41.3 minutes, on average, to assemble one unit. The mean assembly time for a random sample of 16 units using the new method is 40 minutes and the sample standard deviation is 5 minutes. Assuming that the assembly time of all products is normally distributed, what is the critical value used to test the claim that the new method is better than the present at a 1% significance level? *

solution:

→c= a b , that is product of a and b is possible only when when a is m × n matrix and b is n × p matrix.

that is, number of columns of a= number of rows of b.

so, size of matrix , c= a b is , if a = (m × n)matrix

b= (n × p)matrix

then a b = [ (m × n)matrix] ×[   (n × p)matrix ]

→→c= a b= [m × p ] matrix

→→size of product a b will be equal to = number of rows of a × number of columns of b

40 x 50 = 2000

step-by-step explanation:

think about the doctor who treated the major and the speaker in the short story "in another country." put yourself in the shoes of the doctor, and based on what you read in the story, write what you think his thoughts about the major and the speaker would be. use the following vocabulary in your response and change the form of these words as needed: detached resign withered