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3 years ago

Which expression entered into a graphing calculator will return the probability

Mathematics

1 answer:

kirza4 [7]3 years ago

6 0

Answer:

B. binomcdf(100, 0.5, 35)

Step-by-step explanation:

Binomcdf function:

The binomcdf function has the following syntax:

binomcdf(n,p,a)

In which n is the number of trials, p is the probability of a success in a trial and a is the number of sucesses.

35 or fewer heads come up when flipping a coin 100 times.

100 coins are flipped, which means that n = 100.

Equally as likely to be heads or tails, so p = 0.5

35 or fewer heads, so a = 35.

Then

binomcdf(n,p,a) = binomcdf(100,0.5,35)

The correct answer is given by option B.

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2 years ago

13<br> y <br> 3<br> Х<br> 4<br> What is y?

KonstantinChe [14]

Answer:

The Y Coordinate is always written second in an ordered pair of coordinates (x,y) such as (12,5). In this example, the value "5" is the Y Coordinate. Also called "Ordinate"i think

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3 years ago

Select the correct answer.

Katen [24]

Answer:

A. v= $3,995.72 - $1,838.03

Step-by-step explanation:

Given:

fixed expenses: $1,838.03

total expenses: $3,995.72

We need to find the amount of Variable expense (v).

Now We know that;

Variable expense (v) can be calculated by Subtracting Fixed expense form Total expense.

framing in equation form we get;

Variable expense (v) = total expenses - fixed expenses.

Variable expense (v) = $3,995.72 - $1,838.03 = $2,157.69

Hence The equation represents Jessie's variable expense (v) = $3,995.72 - $1,838.03

7 0

2 years ago

Working at home: According to the U.S Census Bureau, 41% of men who worked at home were college graduates. In a sample of 506 wo

sergejj [24]

Solution :

a). The point estimate of proportion of college graduates among women who work at home,

$\hat p =\frac{166}{506}$

= 0.3281

99.5% confidence interval

$=\left( \hat p \pm Z_{0.005/2} \sqrt{\frac{\hat p (1- \hat p)}{n}} \right)$

$=\left( 0.3281 \pm 2.81 \sqrt{\frac{0.3281 \times (1- 0.3281)}{506}} \right)$

$=(0.3281 \pm 0.0586)$

$=(0.2695, 0.3867)$

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3 years ago

Given that the sum of squares for error is 60 and the sum of squares for regression is 140, then the coefficient of determinatio

Anastasy [175]

Answer:

Step-by-step explanation:

The coefficient of determination which is also known as the R² value is expressed as shown;

$R^{2} = \frac{sum\ of \ squares \ of \ regression}{sum\ of \ squares \ of total}$

Sum of square of total (SST)= sum of square of error (SSE )+ sum of square of regression (SSR)

Given SSE = 60 and SSR = 140

SST = 60 + 140

SST = 200

Since R² = SSR/SST

R² = 140/200

R² = 0.7

Hence, the coefficient of determination is 0.7. Note that the coefficient of determination always lies between 0 and 1.

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2 years ago