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zzz [600]
4 years ago
13

What is the discriminant of the quadratic equation 2x + 5x^2=1?

Mathematics
2 answers:
allsm [11]4 years ago
8 0

Answer:its 24

Step-by-step explanation:

Just took the test

Natalka [10]4 years ago
6 0

Answer:

1

Step-by-step explanation:

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Martha's mom is making party bags for all of her guests. She has 24 green gumballs and 33 blue gumballs. If she splits them even
Dmitry_Shevchenko [17]

Answer:

3 bags

Step-by-step explanation:

Suppose there are  

x

bags of candy.

If the  

33

blue gumballs are to be split evenly with no leftovers among the  

x

bags, then  

x

must divide evenly into  

33

.

If the  

24

green gumballs are to be split evenly with no leftovers among the  

x

bags, then  

x

must divide evenly into  

24

.

To get the largest number of bags (

x

),

x

must be the Greatest Common Divisor of  

33

and  

24

Factoring:

33

=  

3

×

8

24

=  

2

×

2

×

2

×

3

The only common factor is  

3

and therefore the product of the common factors is  

3

or, in other words,

the Greatest Common Factor is  

x

=

3

7 0
3 years ago
The base of the pyramid is a right triangle<br><br><br><br> The volume is ____ cubic cm.
kompoz [17]

Answer:

37 cubic cm should be the answer sorry if I am wrong

3 0
3 years ago
Use the equation d=z–9 to find the value of d when z=10.<br><br> d=
denis23 [38]

Step-by-step explanation:

d = z - 9

d = 10 - 9  ----> substitute

d = 1

5 0
3 years ago
If a bank offers a savings that pays simple interest rate of 3% and you deposit $550.00 into the account, how much interest will
vitfil [10]

Answer:

SI=P*T*R/100

=550*3*2/100

=$33

5 0
3 years ago
A sample size 25 is picked up at random from a population which is normally
Margarita [4]

Answer:

a) P(X < 99) = 0.2033.

b) P(98 < X < 100) = 0.4525

Step-by-step explanation:

To solve this question, we need to understand the normal probability distribution and the central limit theorem.

Normal Probability Distribution:

Problems of normal distributions can be solved using the z-score formula.

In a set with mean \mu and standard deviation \sigma, the z-score of a measure X is given by:

Z = \frac{X - \mu}{\sigma}

The Z-score measures how many standard deviations the measure is from the mean. After finding the Z-score, we look at the z-score table and find the p-value associated with this z-score. This p-value is the probability that the value of the measure is smaller than X, that is, the percentile of X. Subtracting 1 by the p-value, we get the probability that the value of the measure is greater than X.

Central Limit Theorem

The Central Limit Theorem estabilishes that, for a normally distributed random variable X, with mean \mu and standard deviation \sigma, the sampling distribution of the sample means with size n can be approximated to a normal distribution with mean \mu and standard deviation s = \frac{\sigma}{\sqrt{n}}.

For a skewed variable, the Central Limit Theorem can also be applied, as long as n is at least 30.

Mean of 100 and variance of 36.

This means that \mu = 100, \sigma = \sqrt{36} = 6

Sample of 25:

This means that n = 25, s = \frac{6}{\sqrt{25}} = 1.2

(a) P(X<99)

This is the pvalue of Z when X = 99. So

Z = \frac{X - \mu}{\sigma}

By the Central Limit Theorem

Z = \frac{X - \mu}{s}

Z = \frac{99 - 100}{1.2}

Z = -0.83

Z = -0.83 has a pvalue of 0.2033. So

P(X < 99) = 0.2033.

b) P(98 < X < 100)

This is the pvalue of Z when X = 100 subtracted by the pvalue of Z when X = 98. So

X = 100

Z = \frac{X - \mu}{s}

Z = \frac{100 - 100}{1.2}

Z = 0

Z = 0 has a pvalue of 0.5

X = 98

Z = \frac{X - \mu}{s}

Z = \frac{98 - 100}{1.2}

Z = -1.67

Z = -1.67 has a pvalue of 0.0475

0.5 - 0.0475 = 0.4525

So

P(98 < X < 100) = 0.4525

6 0
3 years ago
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