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Delvig [45]
3 years ago
8

Find

)" align="absmiddle" class="latex-formula">
Mathematics
1 answer:
Brrunno [24]3 years ago
7 0

Step-by-step explanation:

Using the unit circle, the answer is

135 degrees

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Which one is greater?<br> 4 yd or 144 in.
ozzi

Answer:

144 inches is 4 yards

Step-by-step explanation:

3 0
3 years ago
Read 2 more answers
If the average yield of cucumber acre is 800 kg, with a variance 1600 kg, and that the amount of the cucumber follows the normal
lorasvet [3.4K]

Answer:

a

   The  percentage is

            P(x_1 <  X <  x_2 ) =   51.1 \%

b

   The probability is  P(Z >  2.5 ) =  0.0062097

Step-by-step explanation:

From the question we are told that

        The  population mean is  \mu =  800

        The  variance is  var(x) =  1600 \ kg

        The  range consider is  x_1 =  778 \ kg  \  x_2 =  834 \ kg

         The  value consider in second question is  x =  900 \ kg

Generally the standard deviation is mathematically represented as

        \sigma =  \sqrt{var (x)}

substituting value

        \sigma =  \sqrt{1600}

       \sigma = 40

The percentage of a cucumber give the crop amount between 778 and 834 kg  is mathematically represented as

       P(x_1 <  X <  x_2 ) =  P( \frac{x_1 -  \mu }{\sigma} <  \frac{X - \mu }{ \sigma } < \frac{x_2 - \mu }{\sigma }   )

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

So

      P(x_1 <  X <  x_2 ) =  P( \frac{778 -  800 }{40} < Z< \frac{834 - 800 }{40 }   )

      P(x_1 <  X <  x_2 ) =  P(z_2 < 0.85) -  P(z_1 <  -0.55)

From the z-table  the value for  P(z_1 <  0.85) =  0.80234

                                            and P(z_1 <  -0.55) =   0.29116  

So

             P(x_1 <  X <  x_2 ) =   0.80234 - 0.29116

             P(x_1 <  X <  x_2 ) =   0.51118

The  percentage is

            P(x_1 <  X <  x_2 ) =   51.1 \%

The probability of cucumber give the crop exceed 900 kg is mathematically represented as

             P(X > x ) =  P(\frac{X - \mu }{\sigma }  > \frac{x - \mu }{\sigma } )

substituting values

             P(X > x ) =  P( \frac{X - \mu }{\sigma }  >\frac{900 - 800 }{40 }   )

             P(X > x ) =  P(Z >2.5   )

From the z-table  the value for  P(Z >  2.5 ) =  0.0062097

 

7 0
3 years ago
FI have no points left please answer, FLIP THE IMAGE OVER PLS
Nezavi [6.7K]

Answer:

Step-by-step explanation:

b.  1000 messages: 30 dollars

1,725 messages: 51.75

c. 2,000

2,500

600

b. 37.5

I cant do the rest because they have graph stuff :)

8 0
3 years ago
In a survey of 150 students at Kennedy Middle School, 48% said
BigorU [14]

Answer:

660 people

Step-by-step explanation:

48% people prefer thick pizza

1 375 people x 48% = 660

6 0
2 years ago
The probability of winning a raffle is 2/5. What is the probability of not winning the raffle?
Karo-lina-s [1.5K]

Answer:

3/5

Step-by-step explanation:

the probability of winning + probability of not winning must = 1

these are the only 2 options

2/5 + not winning = 1

subtract 2/5 from each side

not winning = 5/5-2/5

not winning = 3/5

5 0
3 years ago
Read 2 more answers
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