Answer:
The probability of a customer buying carrots is 0.10.
Step-by-step explanation:
Here, given:
P (Customer buying apples) = 12%
⇒ P(A) = 12 \100 = 0.12
P(Customer Buying apples AND Carrots) = 5%
⇒ P(A ∩ C ) = 5 /100 = 0.05
P(Customer buying apples OR carrots ) = 17%
⇒ P(A∪ C) = 17/100 = 0.17
Now, we know that:
<h3>
P(X ∪ Y) = P(X) + P(Y) - P(X ∩ Y ) </h3><h3>
</h3>
Now, here substituting the values, we get:
P(A∪ C) = P(A) + P(C) - P(A ∩ C )
⇒ 0. 17 = 0.12 + P(C) - 0.05
or, 0.17 - 0.07 = P(C)
or, P(C) = 0.10
or, P(Customer Buying Carrots) = 0.10
Hence, the probability of a customer buying carrots is 0.10.
Answer:
5/12
Step-by-step explanation5
6
−
5
12
=
5
6
−
5
12
=
5
6
+
−5
12
=
10
12
+
−5
12
=
10+−5
12
=
5
12
Answer:
it's 528 ft ^[2]
Step-by-step explanation:
Answer:
Step-by-step explanation:
Given that a study was conducted to find out if a new exercise program was more effective than an old one at improving cardiovascular fitness.
Subjects were randomly selected to participate and then randomly assigned to one of the two programs. After six months of exercising, they were given a score based on their fitness performance. Scores ranged from 19 to 73, with higher scores indicating higher performance.
Here there are two groups one for each program. After recording the scores groupwise, mean, std deviation of each group to be calculated.
Then independent sample test (option B) to be done.
Paired data set is not right because same person cannot be in two programs.
Here proportion is not recorded so D is wrong. Since variance is not checked anova is not right. Independence is not checked so E is wrong. Regression is wrong because there is no estimate for regression line here
B) is right.
Answer:
approximately 32
Step-by-step explanation:
