At vero eos et accusamus et iusto odio dignissimos ducimus qui blanditiis praesentium voluptatum deleniti atque corrupti quos dolores et quas molestias excepturi sint occaecati cupiditate non provident, similique sunt in culpa qui officia deserunt mollitia animi, id est laborum et dolorum fuga.
Et harum quidem rerum facilis est et expedita distinctio. Nam libero tempore, cum soluta nobis est eligendi optio cumque nihil impedit quo minus id quod maxime placeat facere possimus, omnis voluptas assumenda est, omnis dolor repellendus.
Itaque earum rerum hic tenetur a sapiente delectus, ut aut reiciendis voluptatibus maiores alias consequatur aut perferendis doloribus asperiores repellat.

Get our expert's

answer on brainly

SEE EXPERT ANSWER

Get your **free** account and access **expert** answers to this and **thousands** of other questions.

I got my questions answered at brainly.com in under 10 minutes. Go to brainly.com now for free help!

Get this expert

answer on brainly

SEE EXPERT ANSWER

Get your **free** account and access **expert** answers to this and **thousands** of other questions

you shd start by finding the degree of freedom do u know how to do that?

No, I don't. I asked my proctor to help me, but he didn't know how either.

(12-1)(35-1)?

correct now take away and then multiply out the brackets to get the df

correct the next step is to find the chi square value and there a formula for that also

|dw:1435291295954:dw|

Sounds good, thanks a bunch :)

|dw:1435291759806:dw|

6033
_____ ?
875

^(fraction)

yes but we usually take the decimal in statistics

which is 6.894857 now this is ur chi square value

what now? is this where that "p" comes in?

im seeing 0.005 on the table not 0.05

and it there twice the table have a fault

u see it? im assuming that the first 0.005 suppose to be 0.05??

Maybe it is supposed to be the 5th column?

no actually there shdnt have the same p value on a chi square table

Sure thing

so |dw:1435293790254:dw|

now we compare the 2 chi square value

oh wait, so that was right?
Because 6.83 > 5.99, the correct answer is either A or D?

the answer shd be D because the p value was too low

for the chi square

Both A and D say x was too low

ok u see what the difference between the two values?

One says yes, and the other says no?

referring to whether or not the model predicted the milkshake sales accurately

but i don't know how to tell that from our data/if it should be yes or no

ok the difference between the value is 0.84 can conclude D or A as the answer?

I understand how to get 0.84 as the difference, but not how to tell if it is Yes or No

https://www.youtube.com/watch?v=HwD7ekD5l0g

ok what we actually had to look at is if p>0.05 or p<0.05

I thought it said p=0.05 though?

yes but when we find the value we see if its greater ok lesser than 0.05

..

okay. what about them?

ok

is there a typo in the table? I see 0.005 written twice along the top

I'm guessing that first 0.005 should be 0.05 ?

yes, there is

ok thought so

Degrees of Freedom
df = k-1 = 3-1 = 2
look at the row that starts with 2
and look at the column that has 0.05 at the top

So we know
test statistic = 6.89
critical value = 5.99

do you see how to finish up?

Rule:
if (test statistic) > (chi-square critical value), then reject the null

from the options at the bottom of this attachment

Ohhhh! so it's actually B
I was looking at it backwards

yeah it's B

wasnt the chic squared values 5.99? so how come that higher than 6.89??

Thank you both!
I'll write your testimonials when I'm all done. (later tonight/early morning)

that 5.99 is the critical value

it's the cutoff point

I greatly appreciate all the help :)

anything higher than that cutoff point means you reject H0

o ok i see

|dw:1435292080595:dw|

|dw:1435292122002:dw|

yes ur right