A CBS News poll asked 606 randomly selected women and 442 randomly selected men, "Do you think putting a special tax on junk food would encourage more people to lose weight?" 170 of the women and 102 of the men said "Yes." A 99% confidence interval for the difference (Women – Men) in the true proportion of people in each population who would say "Yes" is –0.020 to 0.120. a. Does the confidence interval provide convincing evidence that the two population proportions are different? Explain your answer.
b. Does the confidence interval provide convincing evidence that the two population proportions are equal? Explain your answer.

Follows are the solution to the given question:

Step-by-step explanation:

In point a:

The confidence interval will not provide convincing proof that only the two population prolongations differentiate because a 99 percent confidence interval for both the difference throughout the true promotion around -0.020 and 0.120 is included 0.

In point b:

This confidence interval gives strong evidence also that two population proportions were identical because there is a confusion interval of 99 percent between  -0.020 and 0.120 for the difference in the true percentage of the population that say "Yes".

500,000

Step-by-step explanation:

We know that this is not greater than 500,000 but also greater than 450,000 just by looking at it -- 351,871 is greater than 350,000 but less than 375,000, and 101,949 is greater than 100,000 but less than 125,000. Thus, as we want to round to the nearest hundred thousand, we want to count to the sixth digit to the left of the decimal place. Since there is no decimal place, we can place it at the end, like so:

351,871.00

Thus, we can add these two numbers up, and since we know that the answer is greater than 450,000 and less than 500,000, we can take the number to the right of the hundred thousand place; if it is 5 or greater, it will round up, and if not, it will round down. Since anything between 450,000 and 500,000 has a ten thousand value of 5 or higher, we can round the hundred thousand place up, in this case to 500,000

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