Suppose a random sample of 90 companies taken in 2006 showed that 14 offered high-deductible health insurance plans to their workers. a separate random sample of 120 firms taken in 2007 showed that 30 offered high-deductible health insurance plans to their workers. based on the sample results, can you conclude that there is a higher proportion of companies offering high-deductible health insurance plans to their workers in 2007 than in 2006? conduct your hypothesis test at a level of significance alphaequals0.01.

Step-by-step explanation:

Given that a random sample of 90 companies taken in 2006 showed that 14 offered high-deductible health insurance plans to their workers. A separate random sample of 120 firms taken in 2007 showed that 30 offered high-deductible health insurance plans to their workers.

H0: p1=p2

Ha: p1 <p2

(Two tailed test at99%)

Difference14.44 %

Chi-squared5.883

DF  1

Significance levelP = 0.0153

Since p >0.01, our alpha reject null hypothesis.

NO. Based on the sample results, you can not  conclude that there is a higher proportion of companies offering high-deductible health insurance plans to their workers in 2007 than in 2006

c: y > - 1/6x + 1

step-by-step explanation:

dashed line - meaning this < or > also not equal

solid line - meaning this < or > also equal

your answer is c because y > means up & it's shaded up, but y < means down

hope this ! : )

take the logarithm of both sides (the base of the log doesn't matter):

apply the exponent property - this says that :

distribute the log terms on both sides:

group like terms together:

divide through both sides by the coefficient on :

you can do some additional rewriting here using the properties of the logarithm to simplify things if you like: