Answer:
To find the price of one t-shirt, we can do 40.80 / 8 = $5.10 per shirt. Therefore, the price of 5 shirts is 5.10 * 5 = $25.50.
Answer:
Probability from Urban Area = 
Probability NOT from Rural Area = 
Step-by-step explanation:
Total 178
Urban 110
Suburban 56
Rural 12
Hence, probability of x is number of x divided by total.
So, probability that she is from an urban area = 110/178 = 55/89
And
probability NOT a rural area (means urban and suburban which is 110+56=166) = 166/178 = 83/89
Answer:
D
Step-by-step explanation:
If you use the distributive property, you'll find the expression is equal to 8p + 16q. None of the answers match that; A has 4p instead of 8p, B has 4q instead of 16q, and C adds up to 5p + 16q instead of 8p + 16q.
B! If you draw the line of symmetry diagonally, you have two triangles
Answer:
The approximate probability of getting 100000 views or more in January if we assume view counts from day-to-day are independent = 0.22254
Step-by-step explanation:
January has 31 days.
The average number of views per day = 3022 views per day.
In terms of hourly basis, the average number of views = 3022/24 ≈ 126 views per hour
Then we need to find the probability that the number of views in January is equal to or exceeds 100000.
100000 views in January = 100000/31 = 3225.81 ≈ 3226 views per day
On an hourly basis, 3226 views per day ≈ 135 views per hour.
So, mean = λ = 126 views per hour
x = 135 views per hour.
Using Poisson's distribution function
P(X = x) = (e^-λ)(λˣ)/x!
P(X ≥ x) = Σ (e^-λ)(λˣ)/x! (Summation From x to the end of the distribution)
But it's easier to obtain
P(X < x) = Σ (e^-λ)(λˣ)/x! (Summation From 0 to x)
P(X ≥ x) = 1 - P (X < x)
Putting λ = 126 views/hour and x = 135 views/hour in the Poisson distribution formula calculator
P(X ≥ 135) = 0.22254
