The average salary for new college graduates with a job is $50,556. Every chick of the University wants to claim that it's graduates earn more than that average. To test this claim, they ran and selects a hundred of their new graduates and find that their average salary is $53,200 with a standard deviation of $20,400. What conclusion should they draw?

Given:

Null hypothesis: the average salary for new college graduates with a job is $50,556.

Alternative hypothesis: the graduates from a university earn more than that average.

Using the z-test:

=> Calculate the value of test statistic:

t = (mean of sample - mean of null hypothesis)/(std/sqrt(number of sample)

 = (53200 - 50556)/(20400/sqrt(100))

 = 1.296 < 1.645

=> Do not reject the null hypothesis, their graduates do not earn more than average

Hope this helps!

:)

3

step-by-step explanation:

in standard form:

a= dictionaries

b= maps

you have to buy 3 dictionaries, so put a 3 next to the a (dictionaries) so that you can multiply them by each other.

a3+b= 60 (the amount of money you have)

we already know the cost of a=15 so replace a with $15

($15 x 3)+b=60

multiply 15 and 3 to get $45 and replace it with $45

45+b=60

and then replace b with 15 to get the total:

45+15=60

that means you have $15 left after buying 3 dictionaries.

15 divided by the cost of a map ($5) equals 3.

so you can buy 3 maps.

sorry if it was confusing!