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3 years ago

Ravi buys pounds of flour. How many ounces of flour does he buy?

Mathematics

1 answer:

Umnica [9.8K]3 years ago

5 0

There is 16 ounces in each pound, how ever many pounds it is multiply 16 by the number of pounds,

Step-by-step explanation:

how ever many pounds it is multiply 16 by the number of pounds,

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Help me with this please!!!!

Vesna [10]

the first one is C

the second one is D

the third one is B

and the last one is A

All you want to do is count up the y-intercept when it crosses and that gives you the last number (b).

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2 years ago

Solve this set of equation, using elimination or substitution method.

sweet-ann [11.9K]

Answer of the set is x=-11.2 and y=3

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3 years ago

Read 2 more answers

A model for the movement of a stock supposes that if the present price of the stock is s, then, after one period, it will be eit

aleksklad [387]

Answer:

$P(X\geq 470)=0.9991$

Step-by-step explanation:

Present price of stock is s, if x is the times that the stock increases (by u) among the 1000 periods we can calculate the price after 1000 periods as follows:

$s*u^n*d^{(1000-x)}$ note that if the price increase n periods, so it should decreases in the other 1000-x periods.

We need that the price be 30% higher or 1.3 times the initial price. That requirement is expressed as follows:

$s*u^n*d^{(1000-x)}>1.3s$

applying properties of exponents and reorganizing.

$d^{1000}(\frac{u}{d})^x>1.3$

solving for x

$1000 log(d)+ x log (\frac{u}{d})>log(1.3)$

$x >\frac{log(1.3)-1000 log(d)}{log (\frac{u}{d})}$

Using the values given d= 0.99 and u=1.012

$x > 469.208967$

So, we need at least 470 increase periods

Now we can calculate the probability of have 470 increase periods or more, taking into account that the distribution of x is binomial, the period can be and increase period with 0.52 of probability and we have 1000 total trials.

The formula for the binomial cumulative probability function is

$F(x;p,n) = \Sigma_0^x \left(\begin{array}{c}n&i\end{array}\right)p^i(1-p)^{n-i}$

With this formula we can calculate the probability of obtain x successful trials or less ( $P(X\leq x)$ ). There, p is the probability of success (probability of increase period in this case), x is the maximum number of successful trials, n the number of total trials. We should calculate F with x=470, p=0.52 and n= 1000. The result is $P(X\leq x)$ , but we need $P(X\geq x)$ so we can calculate that probability as

$P(X\geq x)=1-P(X\leq x)$

In order to calculate the cumulative function we can use excel function BINOM.DIST

BINOM.DIST(x,trials,probability,cumulative)

BINOM.DIST(470,1000,0.52,TRUE)

We obtain that $P(X\leq 470)=0.00087$ , so $P(X\geq 470)=1-0.00087=0.9991$

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3 years ago

Please answer! need asap!!

mash [69]

a) Hawaii's elevation (1 ft) is greater than both the sea level and California's elevation so it is located near the top. Sea level (0 ft) is less than Hawaii's elevation (1 ft) but more than California's elevation (-120 ft). California's elevation is negative, meaning it is below sea level.

b) California's elevation < sea level < Hawaii's elevation

-120 ft < 0 ft < 1 ft

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3 years ago

The pet store sells a lot of pet food. On a slow day at the pet store, three people buy cat food, two people buy dog food, and o

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2 years ago