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artcher [175]
3 years ago
11

A bicycle’s speedometer measures speed to the nearest 0.1 miles per hour. Which is the most appropriate way to report speed usin

g the bicycle’s speedometer?
A.) 17MPH
B.)17.1 MPH
C.) 17.15 MPH
D.) 20 MPH
Mathematics
2 answers:
dimulka [17.4K]3 years ago
8 0
The answer is B. 17.1 miles per hour
Sonja [21]3 years ago
8 0

Answer:

Option b) 17.1 mph

Step-by-step explanation:

Given that a bicycle’s speedometer measures speed to the nearest 0.1 miles per hour.

There are 4 options given and we have to select the option which is nearest to 0.1 miles per hour.

Option a) is incorrect because 17mph is rounded off to the nearest integer.

Option C) is incorrect because 17.15 mph is rounded off upto 0.01

Option d) is incorrect because 20mph is rounded off to the nearest integer.

Optionb) 17.1 mph here miles rounded off to 0.1 miles per hour. So this is correct option

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djyliett [7]

I think it would be easier to covert the fractions to decimals here

-1.2 * 1 1/5 / 3/10

= -1.2 * 1.2 / 0.3

= -1.44 / 0.3

= - 4.8 answer

6 0
3 years ago
What is 27/125 equal to
lutik1710 [3]
The answer is 27/125=0.216
7 0
3 years ago
Find the slope of the line passing through (-9,3), (-3,-5)
egoroff_w [7]

Answer:

-4/3

Step-by-step explanation:

Slope: (y2-y1)/(x2-x1)

(-5-3)/(-3+9) = -8/6 = -4/3

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3 years ago
The director of admissions at Kinzua University in Nova Scotia estimated the distribution of student admissions for the fall sem
wariber [46]

Answer:

In order to calculate the expected value we can use the following formula:  

E(X)=\sum_{i=1}^n X_i P(X_i)  

And if we use the values obtained we got:  

E(X)=(1060*0.5) +(1400*0.1) +(1620*0.4)=1318  

Step-by-step explanation:

Let X the random variable that represent the number of admisions at the universit, and we have this probability distribution given:

X        1060   1400    1620

P(X)     0.5      0.1        0.4

In statistics and probability analysis, the expected value "is calculated by multiplying each of the possible outcomes by the likelihood each outcome will occur and then summing all of those values".

The variance of a random variable Var(X) is the expected value of the squared deviation from the mean of X, E(X).

And the standard deviation of a random variable X is just the square root of the variance.  

In order to calculate the expected value we can use the following formula:  

E(X)=\sum_{i=1}^n X_i P(X_i)  

And if we use the values obtained we got:  

E(X)=(1060*0.5) +(1400*0.1) +(1620*0.4)=1318  

3 0
3 years ago
A student builds a model of a race car. The scale is 1:15 in the scale model,the car is 8cm tall. How tall is the actual car?
ycow [4]

Answer: 120cm

Step-by-step explanation i took the test

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2 years ago
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