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Lerok [7]
4 years ago
7

Which is the graph of 5 log (x + 3) = 5?

Mathematics
2 answers:
Aleksandr-060686 [28]4 years ago
6 0

Answer:

The answer is B. on edge2020

Step-by-step explanation:

I just typed it into a graphing calculator.

algol134 years ago
5 0
????????????????????
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The cashier has been directed to sell an item for half off its regular price of$1.98.what is the sale price
galben [10]
$1.98 divided by 2 is $0.99
So the sale price is $0.99
4 0
3 years ago
True or false to find the percent of a number we convert to a fraction or a decimal and then divide the number
8_murik_8 [283]

true, when you convert to a decimal, you add a zero in the variable

4 0
3 years ago
Help me with this please
Nataliya [291]
Answer:1/2
Explanation
8 0
3 years ago
Read 2 more answers
Heights of young adult women in the United States are approximately Normal with a mean of 64 inches and standard deviation 2.7 i
sweet-ann [11.9K]

Answer:

The proportion of all young adult women in the United States are taller than 6 feet(72 inches ) is  

   P( X >  72) =0.0015233

Step-by-step explanation:

From the question we are told that

   The mean is  \mu =  64 \ inches

    The standard deviation is  \sigma =  2.7 \  inches

Generally  6 feet  is equivalent to 6 * 12 = 72 inches

Generally the proportion of all young adult women in the United States are taller than 6 feet(72 inches ) is mathematically represented as

       P( X >  72) =  P(\frac{X - \mu }{\sigma }  >  \frac{72  - 64 }{ 2.7 } )

\frac{X -\mu}{\sigma }  =  Z (The  \ standardized \  value\  of  \ X )

       P( X >  72) =  P(Z >  2.963 )

From the z-table

  The area under the normal  curve to the right corresponding to 2.963  is  

     P(Z >  2.963 ) = 0.0015233

=>   P( X >  72) =0.0015233

3 0
3 years ago
he number of surface flaws in plastic panels used in the interior of automobiles has a Poisson distribution with a mean of 0.02
Yakvenalex [24]

Answer:

a) 98.01%

b) 13.53\%

c) 27.06%

Step-by-step explanation:

Since a car has 10 square feet of plastic panel, the expected value (mean) for a car to have one flaw is 10*0.02 = 0.2  

If we call P(k) the probability that a car has k flaws then, as P follows a Poisson distribution with mean 0.2,

P(k)= \frac{0.2^ke^{-0.2}}{k!}

a)

In this case, we are looking for P(0)

P(0)= \frac{0.2^0e^{-0.2}}{0!}=e^{-0.2}=0.9801=98.01\%

So, the probability that a car has no flaws is 98.01%

b)

Ten cars have 100 square feet of plastic panel, so now the mean is 100*0.02 = 2 flaws every ten cars.

Now P(k) is the probability that 10 cars have k flaws and  

P(k)= \frac{2^ke^{-2}}{k!}

and  

P(0)= \frac{2^0e^{-2}}{0!}=0.1353=13.53\%

And the probability that 10 cars have no flaws is 13.53%

c)

Here, we are looking for P(1) with P defined as in b)

P(1)= \frac{2^1e^{-2}}{1!}=2e^{-2}=0.2706=27.06\%

Hence, the probability that at most one car has no flaws is 27.06%

6 0
3 years ago
Read 2 more answers
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