The results of a random sample of 1000 people are recorded in table one use this data to answer the questions that follow of the 320 million people in the united states how many would you predict wear glasses

Step-by-step explanation:

Of the 1000 people randomly selected, 638 wear glasses.

638 / 1000 = 0.638

Since the sample is random, we can assume it is representative of the population.  So if there are 320 million people in the US, we would estimate the number that wears glasses is:

0.638 × 320 million ≈ 204 million

204.16 million

Step-by-step explanation:

Remember that the sample is 1000 people.

Of those 1000 people we know that 762 wear corrective lenses. 638 of these people wear glasses.

The probability that a randomly selected person will wear glasses is:

Then, the expected number of people who wear glasses is:

Where N is given in units of millions.

(sin 42)/31. = sinx)/37

sinx = 37 (sin42)/31

= 37× 0.66/31 = 0.787

x= 51.9

other angle opposite to y = 180-51.9-42

= 180- 93.9 =86.1

so

sin42)/31 = sin 86.1)/y

0.021 = 0.997 /y

y= 0.997/0.021 =47.47