Answer:
1: > (X is greater than 0)
2: ≥ (X is greater than or equal to -3)
3: ≤ (X is greater than or equal to -2)
4: ≥ (X is greater then or equal to 6)
Step-by-step explanation:
:) (correct or not? maybe)
-15 I believe because u are multiplying negatives
Answer:
A) According to the regression equation, regardless of whether or not smoking is allowed in bars, the number of cigarette packs sold per 1000 people decreases by approximately 1424 for each additional dollar of cigarette tax.
Step-by-step explanation:
Given the regression equation:
PACKS i= 57221.431732 − 1423.696906TAXi + 155.441784BARSi + eᵢ.
BARS i= 1 if city i allows smoking in bars
BARSi = 0 if city i does not allow smoking in bars
R2 = 0.351292
P-value = 0.086529
Conlusion:
Simnce p value, 0.0865 is greater than level of significance, 0.05, BARS is not significant. Thus, allowing smoking in bars increase cigarette sales, since the coefficient of BARS is positive.
Correct answer is option A.
According to the regression equation, regardless of whether or not smoking is allowed in bars, the number of cigarette packs sold per 1000 people decreases by approximately 1424 for each additional dollar of cigarette tax.
Answer:
a) P(1) = 0.1637
b)
c) E(x) = 0.2
Step-by-step explanation:
If X follows a poisson distribution, the probability that a disk has exactly x missing pulses is:
Where m is the mean and it is equal to the value of lambda. So, replacing the value of m by 0.2, we get that the probability that a disk has exactly one missing pulse is equal to:
Additionally, the probability that a disk has at least two missing pulses can be calculated as:
Where .
Then, and are calculated as:
Finally, In the poisson distribution, E(x) is equal to lambda. So E(x) = 0.2
D
167 cm = 1.67m
1.67m = 0.167dm
D. 167/1000 = 0.167