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Molodets [167]
2 years ago
14

CL 1-148. The county-fair prize wheel has equally spaced sections with the following colors:

Mathematics
1 answer:
Nina [5.8K]2 years ago
4 0

Answer:

A. \dfrac{1}{25}=0.04 or 4%

B. \dfrac{16}{25}=0.64 or 64%

C. 8 times

Step-by-step explanation:

The county-fair prize wheel has equally spaced sections with the following colors: 1 is golden, 2 are silver, 3 are green, 4 are blue, 6 are red, and 9 are yellow, 25 sections in total.

A. The probability of landing on gold is

P_1=\dfrac{\text{Number of favorable outcomes}}{\text{Number of all possible outcomes}}=\dfrac{1}{25}=0.04

or 4% as a percent.

B.  If the probability of landing on yellow is 36% (or 0.36 as decimal), then the probability of not landing on yellow is

P_2=1-0.36=0.64

or 64% as a percent.

C. If the wheel is spun 1 time, the probabilty of landing on silver is

P_3=\dfrac{2}{25}=0.08

or 8% as a percent.

If the wheel is spun 100 times, the expected number of landing on silver is

100\cdot 0.08=8

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Convert to scientific notation.<br> 16,120
eduard

Answer:

1.612\times10^4

Step-by-step explanation:

In order to find the notation of a number find the total number of 0's that the number has, and realize that all whole numbers have a invisible decimal point.

1.612\times10^4

Exponent is positive to move the decimal point to the right four times

1.6.1.2.0.

= 16,120

Hope this helps.

6 0
2 years ago
For a sample of eight bears, researchers measured the distances around the bears' chests and weighed the bears. Minitab was used
kkurt [141]

Answer:

Kindly check explanation

Step-by-step explanation:

Given that :

Correlation Coefficient (r) = 0.989

alph=0.05

Number of observations (n) = 8

determine if there is a linear correlation between chest size and weight.

Yes, there exists a linear relationship between chest size and weight as the value of the correlation Coefficient exceeds the critical value.

What proportion of the variation in weight can be explained by the linear relationship between weight and chest size?

To determine the the proportion of variation in weight that can be explained by the linear regression line between weight and chest size, we need to obtain the Coefficient of determination(r^2) of the model.

r^2 = square of the correlation Coefficient

r^2 = 0.989^2 = 0.978121

Hence, about 0.978 (97.8%) of the variation in weight can be explained by the linear relationship between weight and chest size.

4 0
3 years ago
5) Is 3 a zero (or root) of f(x) = x3 - 9x2 + 11x + 21?
frozen [14]

Answer:

Yes

Step-by-step explanation:

f(x) = x³ − 9x² + 11x + 21

f(3) = (3)³ − 9(3)² + 11(3) + 21

f(3) = 27 − 81 + 33 + 21

f(3) = 0

6 0
2 years ago
What is the value of the expression 2.6x10^9 over 1.3x10^2
arsen [322]
2.6/1.3 * (10^9/10^2)
2*10^7
4 0
3 years ago
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Solve pls brainliest
12345 [234]

Answer:

36.5 hours

Step-by-step explanation:

It is 36.5 because 7.3x5 would equal 36.5 which tells you that Salma worked 36.5 hours in the last five days.

8 0
2 years ago
Read 2 more answers
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