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Anni [7]
3 years ago
9

In May 2005, Tony Blair was elected for a historic third term as the British prime minister. A poll conducted after Blair's elec

tion indicated that only 32% of British adults would like to see their son or daughter grow up to become prime minister. If the same proportion of Americans would prefer that their son or daughter grows up to be president and 120 American adults are interviewed.
Required:
a. What is the expected number of Americans who would prefer their child grow up to be president?
b. What is the standard deviation of the number Y who would prefer that their child grow up to be president?
c. Is it likely that the number of Americans who prefer that their child grow up to be president exceeds 40?
Mathematics
1 answer:
Zigmanuir [339]3 years ago
8 0

Answer:

hhhghibcgunbvvv ccjjhhhhhhhjkko

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Which is a counterexample to the conjecture? The product of any two consecutive integers is a composite number.
Colt1911 [192]
C is the answer, because 2 is prime. 
8 0
3 years ago
The robots will take over 1/3 of the number work. You hire four robots. how much of the total work will each be doing
kykrilka [37]
Let w = total number of work

(1/3)(w) = 4

w/3 = 4

w = 4 • 3

w = 12
8 0
4 years ago
Help!! Im stuck on this!
Mila [183]

Answer:

when doing questions like these you need to do pemdas and do it in order

Step-by-step explanation:

p- parenthesis

e- exponents

m- multipication

d- division

a- adding

s- subtracting

5 0
3 years ago
I need to put this in scientific notation ​
Marrrta [24]

Answer:

3.5 * 10^-12.

Step-by-step explanation:

(7 * 10^-5 ) * (5 * 10^-8)

= 35 * 10^-13

= 3.5 * 10^-12.

Note the first number must be between 1 and 10.

8 0
3 years ago
If the errors produced by a forecasting method for 3 observations are +3, +3, and −3, then what is the mean squared error?
KiRa [710]

Answer:

9

Step-by-step explanation:

The mean squared error (MSE)of a set of observations can be calculated using the formula :

(1/n)Σ(Actual values - predicted values)^2

Where n = number of observations

Steps :

Error values of each observation (difference between actual and predicted values) is squared.

Step 2:

The squared values are summed

Step 3:

The summation is the divided by the number of observations

The difference between the actual and predicted values is known as the ERROR.

(1/n)Σ(ERROR)^2

n = 3

Error = +3, +3, - 3

MSE = (1/3)Σ[(3)^2 + (3)^2 + (-3)^2]

MSE = (1/3) × [9 + 9 + 9]

MSE = (1/3) × 27

MSE = 9

5 0
3 years ago
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