Answer:
Probability of having broken glass = 0.1933
Probability of not having broken glass = 0.8067
Step-by-step explanation:
The Treatment table in the file attached to the given question is written out and completed below;
Treatment
Response Smashed into Hit Control Total
Yes 16 7 6 29
No 34 43 44 121
Total: 50 50 50 150
Using relative frequencies,
the distribution of responses about whether there was broken glass at the accident for the subjects in this study can be computed as follows:
Probability of having broken glass = ![\dfrac{29}{150}](https://tex.z-dn.net/?f=%5Cdfrac%7B29%7D%7B150%7D)
Probability of having broken glass = 0.1933
Probability of not having broken glass = ![\dfrac{121}{150 }](https://tex.z-dn.net/?f=%5Cdfrac%7B121%7D%7B150%20%7D)
Probability of not having broken glass = 0.8067
So first one correct....go for it !!!
Answer:
Salma, joe, and alan sent 14, 69, and 23 text messages respectively
Step-by-step explanation:
Given that Salma, joe, and alan sent a total of 106 text messages during the weekend, it means that
s + j + a = 106 where s, j, and a are the number of messages sent by Salma, joe, and alan respectively
Given salma sent 9 fewer messages than alan
s = a - 9
Joe sent 3 times as many messages as alan
j = 3a
hence
a - 9 + 3a + a = 106
5a - 9 = 106
5a = 106 + 9
5a = 115
Divide both sides by 5
a = 115/5
= 23
s = 23 - 9
= 14
j = 3* 23
= 69
Well the +7 also effects your graph but the coefficient 4 determines the stretch or compression of your graph. A higher coefficient compresses your graph more.