Researchers at the National Cancer Institute re- leased the results of a study that investigated the effect of weed-killing herbicides on house pets. They examined 827 dogs from homes where an herbicide was used on a regular basis, diagnosing malignant lymphoma in 473 of them. Of the 130 dogs from homes where no herbicides were used, only 19 were found to have lymphoma. a) What’s the standard error of the difference in the two proportions? b) Construct a 95% confidence interval for this difference. c) State an appropriate conclusion.

A)The Standard error for difference in proportion is 0.0354

B)The Confidence interval with 95 % for difference in proportion is (0.356 ,0.495)

C)The conclusion is that  proportion of herbicides and no herbicides and having them diagnosed with malignant lymphoma is between 35.6 % and 49.5 % And higher than the proportion to pets in homes where no pesticides were used.

Step-by-step explanation:

Given:

Total dogs which are herbicide =827=n1

diagnosing malignant lymphoma Dogs=473

Total no herbicides Dogs=130=n2

19 were found to have lymphoma.

To Find:

a)What’s the standard error of the difference in the two proportions?

b) Construct a 95% confidence interval for this difference.

c) State an appropriate conclusion

Solution:

The standard error of difference is given by ,

Consider S1 for case 1 (herbicides) and S2 for case 2 (no herbicides)

So

Here  =0.578   and   =0.146

This gives the difference between two proportions  0.0354

Now,

For 95 % C.I it is given by  for above difference at Z=1.96

The conclusion is that  proportion of herbicides and no herbicides and having them diagnosed with malignant lymphoma is between 35.6 % and 49.5 % And higher than the proportion to pets in homes where no pesticides were used.

(a) {a₁, a₁r, a₁r², … a₁rⁿ⁻¹, …}

(b) $59 398

step-by-step explanation:

(a) the annual sequence of profits

aₙ = a₁rⁿ⁻¹

the model for the sequence of profits is {a₁, a₁r, a₁r², … a₁rⁿ⁻¹, …} .

(b) profit after 15 yr

  a₁ = $ 30 000

  r = 1.05

a₁₅ = 30 000 × 1.05¹⁴

a₁₅ = 30 000 × 1.979 93

a₁₅ = $59 398

the profit in year 15 will be $59 398.

-1

step-by-step explanation: