Why is an estimate based on these findings likely to be biased? Select all that apply. Because the proportion of people having multiple partners must be very small, so an estimate of this would not meet the conditions for using the Central Limit Theorem. Because only 26732673 adults participated in this survey. Because people might fear to admit that they cheat on their spouses. Because people might be ashamed to admit that they change partners very often, as this behavior may be considered immoral by some. Does the margin of error of a 95%95% confidence interval for the mean number of sexual partners allow for this bias? No. The margin of error allows only for random sampling error, not bias. No. The margin of error allows only for Type I error, not bias. Yes. The margin of error allows for bias within the responses, just not response or non‑response bias. Yes. The margin of error allows only for all sources of error.

Part 1:

People might fear to admit that they cheat on their spouses.

People might be ashamed to admit that they change partners often, as this behavior may be considered immoral.

Part 2:

No. The margin of error only allows for random sampling error, not bias.

Step-by-step explanation:

Part 1: The answers listed above both indicate response bias, or lying. Often times, this occurs due to social stigmas associated with certain answers, hence why the results might be skewed.

Regarding the other answers: A 2673 person survey is large, and assuming it was a random sample, there's nothing wrong with that.

Part 2:

No. The margin of error controls for random sampling errors, but this won't matter if the sample you survey doesn't provide accurate responses.

(f - g)(x) = 5x^3 - 3

step-by-step explanation:

rearrange these functions vertically, with like terms in separate columns:

f(x) = 5x^3 - 2

g(x) =         +1

now subtract, column by column:

(f - g)(x) = 5x^3 - 3