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PilotLPTM [1.2K]
2 years ago
13

From Environment Canada: "Our experts on weather and climate have combed through 45 years of weather records, and determined the

probabilities based on the following criteria:
-a "white" Christmas is defined as having at least 2 cm of snow on the ground on December 25."
The probability that there will be a white Christmas in Vancouver is 11%.
The probability that there will be a white Christmas in Hamilton is 68%
What type of probability have they used to determine these probabilities?
Mathematics
2 answers:
miskamm [114]2 years ago
7 0
Hat grade are u? I'm just asking cause the formulas are going with grade I could help if u want me too
KengaRu [80]2 years ago
6 0
The calculation is based on historical data. Therefore the type of probability can be described as HISTORICAL PROBABILITY.
You might be interested in
11. Susan was given the following number to convert to scientific notation: 12,050,000
pashok25 [27]

Answer:

eliminated, the bedtime increases by one minute. ... Description: This activity requires students to tell time to the half-hour (e.g. 4:00, 5:30, 11:30).

Step-by-step explanation:

5 0
2 years ago
A recent article in Business Week listed the "Best Small Companies." We are interested in the current results of the companies'
Sindrei [870]

Answer:

(i) The estimated regression equation is;

\hat y ≈ 1.6896 + 0.0604·X

The coefficient of 'X' indicates that \hat y increase by a multiple of 0.0604 for each million dollar increase in sales, X

(ii) The estimated earnings for the company is approximately $4.7096 million

(iii) The standard error of estimate is approximately 29.34

The high standard error of estimate indicates that individual mean do not accurately represent the population mean

(iv) The coefficient of determination is approximately 0.57925

The coefficient of determination indicates that the probability of the coordinate of a new point of data to be located on the line is 0.57925

Step-by-step explanation:

The given data is presented as follows;

\begin{array}{ccc}Sales \ (\$million)&&Earning \ (\$million) \\89.2&&4.9\\18.6&&4.4\\18.2&&1.3\\71.7&&8\\58.6&&6.6\\46.8&&4.1\\17.5&&2.6\\11.9&&1.7\end{array}

(i) From the data, we have;

The regression equation can be presented as follows;

\hat y = b₀ + b₁·x

Where;

b₁ = The slope given as follows;

b_1 = \dfrac{\Sigma(x_i - \overline x) \cdot (y_i - \overline y)}{\Sigma(x_i - \overline x)^2}

b₀ = \overline y - b₁·\overline x

From the data, we have;

{\Sigma(x_i - \overline x) \cdot (y_i - \overline y)} = 364.05

\Sigma(x_i - \overline x)^2} = 6,027.259

\overline y = 4.2

\overline x = 41.5625

∴ b₁ = 364.05/6,027.259 ≈ 0.06040059005

b₀ = 4.2 - 0.06040059005 × 41.5625 ≈ 1.68960047605 ≈ 1.69

Therefore, we have the regression equation as follows;

\hat y ≈ 1.6896 + 0.0604·X

The coefficient of 'X' indicates that the earnings increase by a multiple of 0.0604 for each million dollar increase in sales

(ii) For the small company, we have;

X = $50.0 million, therefore, we get;

\hat y = 1.6896 + 0.0604 × 50 = 4.7096

The estimated earnings for the company, \hat y = 4.7096 million

(iii) The standard error of estimate, σ, is given by the following formula;

\sigma =\sqrt{\dfrac{\sum \left (x_i-\mu  \right )^{2} }{n - 1}}

Where;

n = The sample size

Therefore, we have;

\sigma =\sqrt{\dfrac{6,027.259 }{8 - 1}} \approx 29.34

The standard error of estimate, σ ≈ 29.34

The high standard error of estimate indicates that it is very unlikely that a given mean value within the data is a representation of the true population mean

(iv) The coefficient of determination (R Square) is given as follows;

R^2 = \dfrac{SSR}{SST}

Where;

SSR = The Sum of Squared Regression ≈ 21.9884

SST = The total variation in the sample ≈ 37.96

Therefore, R² ≈ 21.9884/37.96 ≈ 0.57925

The coefficient of determination, R² ≈ 0.57925.

Therefore, by the coefficient of determination, the likelihood of a new introduced data point to located on the line is 0.57925

6 0
2 years ago
Yumi wants to make 12 cups of party mix using candies and nuts her budget require the party mix to cost her $1 29 per cup. The c
kifflom [539]

Answer:

Acording to the question,

Cost per cup = $1.29

Total number of cups = 12

Total cost of cups = 12 x 1.2 = $15.48

Cost of candies = $2.49 per cup

Total number of candies = x

Cost of nuts = $0.69 per cup

Total number of nuts = y

Equations :

x + y = 12    (because total cups of nuts and candies will be equal to 12)

2.49x + 0.69y = 15.48    (Total cost of the 12 cups should be 15.48)  

<u>Step 1 : Find x in terms of y</u>

x = 12 - y

<u>Step 2 : substitute x in terms of y from step 1 in the second equation</u>

2.49x + 0.69y = 15.48

2.49 ( 12 - y) + 0.69y = 15.48

29.88 - 2.49y + 0.69y = 15.48

-1.8y = -14.4

y = 14.4/1.8

y = 8

Step 3 : Find x

x + y = 12

x = 12 - y

x = 12- 8

x = 4

Thus,Yumi should use 4 cups of candies and 8 cups of nuts.

5 0
2 years ago
2 m3 of soil containing 35% sand was mixed into 6 m3 of soil containing 15% sand. what is the sand content of the mixture?
jekas [21]
Answer is: 1.6 m3 of sand
4 0
2 years ago
Asap pls help and explain
eduard

Answer:

the answer would be 90

Step-by-step explanation:

100 giants fills 5/8 (100/160) of the theater leaving 3/8 of the theater for the elves.

3/8 times 240 elves is 90 elves.

If there were 150 elves that would also be 5/8 filled plus the original 5/8 filled with 100 giants! Some elves might suffer!!!

4 0
2 years ago
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