Workers at a certain soda drink factory collected data on the volumes (in ounces) of a simple random sample of 2525 cans of the soda drink. those volumes have a mean of 12.19 oz and a standard deviation of 0.140.14 oz, and they appear to be from a normally distributed population. if the workers want the filling process to work so that almost all cans have volumes between 11.9811.98 oz and 12.6212.62 oz, the range rule of thumb can be used to estimate that the standard deviation should be less than 0.160.16 oz. use the sample data to test the claim that the population of volumes has a standard deviation less than 0.160.16 oz. use a 0.010.01 significance

linear

step-by-step explanation:

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6 and 24

step-by-step explanation:

6 x 4 = 24

the degrees would remain the same ( the number to the left of the decimal point.

the multiply the decimal by 60 to get the minutes and use the numbers to the left of the decimal point.

then multiply the decimal portion of that by 60 for the seconds and round off as needed.

39 .956652

the 39 remains the degrees.

the minutes = 0.956652 x 60 = 57.39912

the minutes = 57

the seconds = 0.39912 x 60 = 23.95 = 24 ( rounded to nearest tenth)

so 39.956652 = 39 degrees, 57 minutes and 24 seconds

-75.159809

the -75 remains the degrees

the minutes = 0.159809 x 60 = 9.58854

the minutes = 9

the seconds = 0.58854 x 60 = 35.31, rounded to nearest tenth = 35.3 seconds

so -75.159809 = -75 degrees, 9 minutes and 35.3 seconds.

the first coordinate is north or south, since it it positive it is north.

the second number is east or west, because it is negative it is west.

39 degrees, 57 minutes and 24 seconds n

-75 degrees, 9 minutes and 35.3 seconds w