Standard error from a formula and a bootstrap distribution

use statkey or other technology to generate a bootstrap distribution of sample proportions and find the standard error for that distribution. compare the result to the standard error given by the central limit theorem, using the sample proportion as an estimate of the population proportion p.

proportion of lie detector trials in which the technology misses a lie, with n=43 and p^=0.409

click here to access statkey.

round your answer for the bootstrap s⁢e to two decimal places, and your answer for the formula s⁢e to three decimal places.

bootstrap se=

formula se=

c = 0.429t

step-by-step explanation:

the constant rate at which carlos harvests cassava is 35 minutes per 15 cassavas 15/35 = 0.429 cassava per minute

therefore, an equation that models the number of cassava (c) that harvest carlos in a time (t) is the following:

where t is the time in minutes.

this means that when 35 minutes have elapsed 15 cassava have been harvested, at 70 minutes 30 cassava have been harvested and so on.

alright so i think for this one it would to draw it out. this may be hard for me to try and draw, but i will do my best on here:

        r

  /       |     \

notice how it forms 2 triangles inside one bigger triangle.

so if we know the angle spr is the same as psr that is saying the measure of angle p is the same as angle s. this means the big triangle psr is either isosceles or equilateral. in both cases, the triangle is perfectly symmetrical when split down the middle, which is in this case rq. because we know it is perfectly symmetrical on both sides, we know that the two triangles inside the bigger one are equal.

step-by-step explanation:

tangent z: 4/3

cosine y: 4/5

cotangent y: 4/3