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natka813 [3]
3 years ago
5

3/2x+5/2=-1/2 solve for x

Mathematics
1 answer:
Lena [83]3 years ago
7 0

Step-by-step explanation:

Hey there!

Given;

\frac{3}{2} x +   \frac{5}{2}  =   - \frac{1}{2}

Add the like terms.

\frac{3x + 5}{2}  =   - \frac{1}{2}

Now, do cross multiplication.

2(3x + 5) =  - 2

Now simplify them to get answer.

6x + 10 =  - 2

6x =  - 12

x =  \frac{ - 12}{6}

Therefore the value of x is -2.

<em><u>Hope it helps</u></em><em><u>.</u></em><em><u>.</u></em>

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A few weeks into the deadly SARS (Severe Acute Respiratory Syndrome) epidemic in 2003, the number of cases was increasing by abo
DaniilM [7]

Answer: The required exponential model is 1804(1.04)^t

Step-by-step explanation:

Since we have given that

Initial cases = 1804

Rate of growth = 4%

Since it is increasing exponentially,

So, it becomes,

A=ab^t

Here, a = 1804

b = 1+r=1+0.04=1.04

So, it becomes,

A=1804(1.04)^t

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6 0
3 years ago
Five added to 4 times a number is equal to 9 less than 2 times the number
Alona [7]

Answer:

4x+5 = 2x-9

Step-by-step explanation:

7 0
3 years ago
e chairman of the statistics department in a certain college believes that 70% of the department’s graduate assistantships are g
8_murik_8 [283]

Answer:

38.46% probability that the sample proportion will NOT be between 0.60 and 0.73

Step-by-step explanation:

Problems of normally distributed samples are solved using the z-score formula.

In a set with mean \mu and standard deviation \sigma, the zscore 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 pvalue, we get the probability that the value of the measure is greater than X.

For a proportion p in a sample of size n, we have that \mu = p, \sigma = \sqrt{\frac{p(1-p)}{n}}

In this problem, we have that:

p = 0.7, n = 50

So

\mu = 0.7, \sigma = \sqrt{\frac{0.7*0.3}{50}} = 0.0648

What is the probability that the sample proportion will NOT be between 0.60 and 0.73?

This is 1 subtracted by the probability that it is between 0.6 and 0.73.

Probability it is between 0.6 and 0.73

pvalue of Z when X = 0.73 subtracted by the pvalue of Z when X = 0.6. So

X = 0.73

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

Z = \frac{0.73 - 0.7}{0.0648}

Z = 0.46

Z = 0.46 has a pvalue of 0.6772

X = 0.6

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

Z = \frac{0.6 - 0.7}{0.0648}

Z = -1.54

Z = -1.54 has a pvalue of 0.0618

0.6772 - 0.0618 = 0.6154

NOT be between 0.60 and 0.73?

1 - 0.6154 = 0.3846

38.46% probability that the sample proportion will NOT be between 0.60 and 0.73

5 0
4 years ago
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Answer:

 

Step-by-step explanation:

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3 years ago
If P(0.40), P(E or F)= 0.50, and P(E and F) = 0.20, find P(F)
Assoli18 [71]

Answer: 0.10

Step-by-step explanation:

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3 0
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