Five years ago, a survey found that the proportion of city employees who commute to work by car is 8%. a local city commissioner claims that the percentage is higher than it was five years ago. data on employee commuting by car was collected on a random sample of 1000 employees and found 12% of employees commute by car. test an appropriate hypothesis and state your conclusion at the 10% level of significance.

The data shows a proportion in car commuting greater than 8%

Step-by-step explanation:

Five years ago, a survey found that the proportion of city employees who commute to work by car is 8%.

Claim : . A local city commissioner claims that the percentage is higher than it was five years ago.

A random sample of 1000 employees was collected

n = 1000

They found 12% of employees commute by car.

No. of employees commute by car =

We will use one sample proportion test  

x= 120

n = 1000

Formula of test statistic =

                                       =

                                       =

Significance level = 10%

α=0.1

(Using z table)

So, test statistic i.e.Z calculated > Z critical

So, we failed to accept null hypothesis .The data shows a proportion in car commuting greater than 8%

i used to know but i learned it a long time ago sorry

step-by-step explanation:

3/4 ÷ 3/4

step-by-step explanation:

basically divide any proper fraction with itself to fit the criteria.

so if we are using 3/4, then:

3/4 ÷ 3/4 = 1

so 1 is the quotient.

and the numerators for both these fractions is 3.   and if we divide the numerators:

3 ÷ 3 = 1

we see that quotient is equal to our original quotient as well.