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3 years ago

6

The experimental probability that it will snow on any day in Maine during the month of January is about 19% Out of the 31 days,

how many days can residents predict snow?

1 answer:

Alenkasestr [34]3 years ago

6 0

Answer:

9. The experimental probability that it will rain on any given day in Houston Texas is about 15%. Thus, out of 365 days, 15% of that are the predicted days the it will rain in the Place. => 365 days is the total number of days in a year => 15% is the predicted days to rain => 365 * .15 = 54.75 Since this is a decimal number, let’s round this off to 55 days. Why 55 because the value of tenths is more than 5

Step-by-step explanation: hope this helps

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The U.S. Department of Agriculture records data on farm acreage and number of farms by county for every county in the country. T

lisabon 2012 [21]

Solution :

From the table,

Number of countries = $N_i$

Mean = $\overline Y_i$

Standard deviation = $\sigma_i$

Margin of error of B = 50,000 acres

So we determine the $\text{sample size n}$ and then allocate the four regions of $n_1, n_2, n_3$ and $n_4$ .

Under the $\text{proportional allocation}$ , the $\text{equation}$ for the value of $n_1$ which yields $V(\overline Y_{st}) = D = \frac{B^2}{H}$ is given by :

$n=\frac{\sum_{K=1}^L N_K \sigma^2_K}{ND+\frac{1}{N}\sum_{K=1}^L N_K \sigma^2_K}$

Let us complete the numerator

$\sum_{K=1}^L N_K \sigma^2_K = N_1\sigma_1^2 + N_2\sigma_2^2 + N_3\sigma_3^2 + N_4\sigma_4^2$

$= 1052 \times (271)^2 + 210 \times (79)^2 + 1376 \times (244)^2 + 418 \times (837)^2$

= 453329920

The bound on the error of estimation is B = 50,000 acres

Hence we get

$D=\frac{B^2}{H}$

$=\frac{50000^2}{4}$

= 625,000,000

$n=\frac{\sum_{K=1}^L N_K \sigma^2_K}{ND+\frac{1}{N}\sum_{K=1}^L N_K \sigma^2_K}$

$=\frac{453329920}{3056 \times 625 + \frac{1}{3056} \times 453329920}$

= 220.24044

≈ 221 (approximately)

Therefore, the sample size under the proportional allocation from each stratum are given by :

$n_1=n\left[\frac{N_1}{\sum_{K=1}^\mu N_K}\right]$

$=221\left[\frac{1052}{3056}\right]$

≈ 76

$n_2=n\left[\frac{N_2}{\sum_{K=1}^\mu N_K}\right]$

$=221\left[\frac{210}{3056}\right]$

≈ 15

$n_3=n\left[\frac{N_3}{\sum_{K=1}^\mu N_K}\right]$

$=221\left[\frac{1376}{3056}\right]$

≈ 100

$n_4=n\left[\frac{N_4}{\sum_{K=1}^\mu N_K}\right]$

$=221\left[\frac{418}{3056}\right]$

≈ 30

Thus, we should select 76 counties from North central region, 15 counties from the north east region, 100 from south region and 30 from west region.

We can also estimate mean acreage of each county across all the county with a margin of error of 50,000 acres.

8 0

3 years ago

Need help with a,b,c! D: helpzzz

nlexa [21]

A: 11ft B: 45 C: 556

3 0

3 years ago

Help i needs hep will mar brainliest!

balandron [24]

Answer:

B

Step-by-step explanation:

Have a wonderful day hope this helps

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3 years ago

11. What is the value of x?<br><br> A 48<br> B 30<br> C 60<br> D 36

Julli [10]

I believe it’s 36 sorry if it’s incorrect

4 0

3 years ago

The sum of 14 and a number is equal to 17.

Ludmilka [50]

Answer:

X = 3

Step-by-step explanation:

sum equals 14

the final product of the number is equal to 17

you will need to do 17 minus 14 which is equal to 3.

X=3

7 0

3 years ago