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timama [110]
4 years ago
14

If y has moment-generating function m(t) = e 6(e t −1) , what is p(|y − µ| ≤ 2σ)?

Mathematics
1 answer:
Lostsunrise [7]4 years ago
6 0
Since \mathrm M_Y(t)=e^{6(e^t-1}, we know that Y follows a Poisson distribution with parameter \lambda=6.

Now assuming \mu,\sigma denote the mean and standard deviation of Y, respectively, then we know right away that \mu=6 and \sigma=\sqrt6.

So,

\mathbb P(|Y-\mu|\le2\sigma)=\mathbb P(6-2\sqrt6\le Y\le6+2\sqrt6)=\dfrac{66366}{175e^6}\approx0.940028
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Which equation is y = –3x2 – 12x – 2 rewritten in vertex form?
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Which model represents 0.69 divided by 3 I need this ASAP DUE IN 5 minutes
Svetllana [295]

Answer:

0.23

Step-by-step explanation:

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myrzilka [38]

Answer:

1\frac{3}{4}

Step-by-step explanation:

In order to find the answer, you first need to convert the mixed number (2 1/3) into a improper fraction and then multiply.

\frac{3}{4} \times2\frac{1}{3}

2\frac{1}{3} =3\times2=6+1=7=\frac{7}{3}

\frac{3}{4} \times\frac{7}{3}

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7 0
3 years ago
Find the equation of the linear function 'g' going through (20,5) and (-5,-8). Use 'u' for your input variable.
frosja888 [35]

Answer:

  • See below

Step-by-step explanation:

<u>Use the slope-intercept form, which will be in this case:</u>

  • g(u) = mu + b, where m is the slope, b is the y- intercept

<u>Find the slope:</u>

  • m=(y_2-y_1)/(x_2-x_1)
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<u>Find the value of the y-intercept:</u>

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<u>The equation is:</u>

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3 0
3 years ago
The number of square feet per house are normally distributed with a population standard deviation of 137 square feet and an unkn
pshichka [43]

Answer:

Step-by-step explanation:

Given that X, the number of square feet per house is N(mean, 137)

Sample size = 19

Sample mean x bar =1350 sq ft

Since population std dev is given,

std error of sample = \frac{137}{\sqrt{19} } \\=31.43

Since sample size is small, t critical value can be used

df = 18

t value for 80% two tailed = 1.333

Margin of error = ±1.333(std error) = ±1.333*31.43\\=41.896

Confidence interval = sample mean ±margin of error

= 1350-41.896,1350+41.896\\=(1308.104,1391.896)

7 0
3 years ago
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