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lyudmila [28]
4 years ago
13

31. Each day, Talisa exercises by first

Mathematics
1 answer:
GaryK [48]4 years ago
5 0

Answer:

Step-by-step explanation:

Given the following :

Laps - - - - - - - - 5 - - - 6 - - - 7 - - - 8 - - - 9

Total time - - - 25 - - 28 - - 29 - - 30 - - 32

Using online graphing tool:

The y - axis named dependent variable represents the total time taken.

The x-axis, represents the number of laps.

The equation of the trend line attached to the plot is in the form :

y = mx + c

y = 1.6x + 17.6

Where y = total time taken

x = number of laps

m = 1.6 = gradient of the line (change in y / change in x)

C = 17.6 = intercept (whee the trndline intersects the y-axis).

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3 years ago
How many times can 9 go into 16
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Answer:

1 time

Step-by-step explanation:

9*2=18

18-16=3

1/3

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3 years ago
Read 2 more answers
Give the numerical value of the parameter p in the following binomial distribution scenarioA softball pitcher has a 0.721 probab
Igoryamba

Answer:

P(X>15)= P(X=16)+P(X=17)+P(X=18)+P(X=19)

P(X=16)=(19C16)(0.721)^{16} (1-0.721)^{19-16}=0.112  

P(X=17)=(19C17)(0.721)^{17} (1-0.721)^{19-17}=0.051  

P(X=18)=(19C18)(0.721)^{18} (1-0.721)^{19-18}=0.015  

P(X=19)=(19C19)(0.721)^{19} (1-0.721)^{19-19}=0.002  

And replacing we got:

P(X>15)= P(X=16)+P(X=17)+P(X=18)+P(X=19) =0.112+0.051+0.015+0.002= 0.1801

Step-by-step explanation:

Previous concepts

A Bernoulli trial is "a random experiment with exactly two possible outcomes, "success" and "failure", in which the probability of success is the same every time the experiment is conducted". And this experiment is a particular case of the binomial experiment.

The binomial distribution is a "DISCRETE probability distribution that summarizes the probability that a value will take one of two independent values under a given set of parameters. The assumptions for the binomial distribution are that there is only one outcome for each trial, each trial has the same probability of success, and each trial is mutually exclusive, or independent of each other".

The probability mass function for the Binomial distribution is given as:  

P(X)=(nCx)(p)^x (1-p)^{n-x}  

Where (nCx) means combinatory and it's given by this formula:  

nCx=\frac{n!}{(n-x)! x!}  

Solution to the problem

For this case our random variable is given by:

X \sim Binom(n = 19, p = 0.721)

For this case we want this probability:

P(X>15)= P(X=16)+P(X=17)+P(X=18)+P(X=19)

P(X=16)=(19C16)(0.721)^{16} (1-0.721)^{19-16}=0.112  

P(X=17)=(19C17)(0.721)^{17} (1-0.721)^{19-17}=0.051  

P(X=18)=(19C18)(0.721)^{18} (1-0.721)^{19-18}=0.015  

P(X=19)=(19C19)(0.721)^{19} (1-0.721)^{19-19}=0.002  

And replacing we got:

P(X>15)= P(X=16)+P(X=17)+P(X=18)+P(X=19) =0.112+0.051+0.015+0.002= 0.1801

P(X> 2)=1-P(X\leq 2)=1-[0.0211+0.0995+0.211]=0.668

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Answer for brainlist & extra points <3
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Answer:

Equation:500÷8×2

Answer:125

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Lainey bought a set of 202020 markers for \$6$6dollar sign, 6.<br> What is the cost of 1 marker?
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Answer:

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Step-by-step explanation:

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