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Studentka2010 [4]
4 years ago
7

Decrease seventy two hundredths by two tenths

Mathematics
1 answer:
kolezko [41]4 years ago
5 0
<span>seventy two hundredths</span> = 0.72.

Decrease = Subtraction.

Two Tenths = 0.2

So:

0.72 - 0.2 

0.72 - 0.2 = 0.52

So, This Expression Is Equal To 0.52
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At the first meeting of the Tennis Club, the 7 members decided to have a tournament in which every player will play a match agai
mariarad [96]

Answer:

21 matches

Step-by-step explanation:

This is a combination problem where we have to select two member out of 7 members

 

So we want calculation of  7C2

 

   7C2 = 7!/[(2!)(7-2)!]

   (7*6*5*4*3*2*1)/[(2*1) *(5*4*3*2*1]

   (7*6)/2    ~  Note everything that easily cancels here!

   42/2

   21 matches

5 0
3 years ago
Irrational number between 2 and 3
ziro4ka [17]

Answer:

2.084...

Step-by-step explanation:

Just write an non repeating string of any numbers that you think of but not in a pattern which will lie between decimal value of your 2 numbers

6 0
3 years ago
The Acculturation Rating Scale for Mexican Americans (ARSMA) is a psychological testdeveloped to measure the degree of Mexican/S
maria [59]

Answer:

95% confidence interval for the mean ARSMA score for first-generation Mexican Americans

(2.13264 , 2.58736)

Step-by-step explanation:

<u><em>Step(i)</em></u>:-

Mean of the Population = 3.0

Standard deviation of the Population = 0.8

Given Mean of the sample(x⁻ ) = 2.36

Standard deviation of the sample  (S) = 0.8

size of the sample = 50

Level of significance =0.05

Degrees of freedom = n-1 = 50-1 = 49

t_{\frac{0.05}{2} , 49} = 2.0096

<u><em>Step(ii)</em></u>:-

95% confidence interval for the mean ARSMA score for first-generation Mexican Americans

(x^{-} - t_{(\frac{\alpha }{2},df )} \frac{S}{\sqrt{n} } , (x^{-} +t_{(\frac{\alpha }{2},df )} \frac{S}{\sqrt{n} })

(2.36 - 2.0096 \frac{0.8}{\sqrt{50} } , 2.36 +2.0096\frac{0.8}{\sqrt{50} })

( 2.36 - 0.22736 , 2.36 + 0.22736)

(2.13264 , 2.58736)

<u><em>Final answer</em></u>:-

95% confidence interval for the mean ARSMA score for first-generation Mexican Americans

(2.13264 , 2.58736)

7 0
3 years ago
Leanne runs a lap in 12 minutes. Kory runs a lap in 9 minutes. If they
klemol [59]

Kory and Leanne will meet each other again after 36 minutes from starting i.e. at 10:36 am .

<u>Step-by-step explanation:</u>

Here we have , Leanne runs a lap in 12 minutes. Kory runs a lap in 9 minutes. We need to find out that If they  both start running at 10 am, at what time will they both cross the start  together again . Let's find out:

Kory runs a lap in 9 minutes and , Leanne in 12 minutes , in order to find at what time will they both cross the start  together again we will find LCM of 9 & 12 :

⇒ \frac{9(4)}{12(4)}

⇒ \frac{36}{36}

So ,LCM of 9 & 12 is 36 .That means Kory and Leanne will meet each other again after 36 minutes from starting i.e. at 10:36 am .

In clear way , Kory will run race as :

1st lap = 9 minutes

2nd lap = 18 minutes

3rd lap = 27 minutes

4th lap = 36 minutes , i.e. at 10:36 am he'll complete his 4th lap

For , Leanne

1st lap = 12 minutes

2nd lap = 24 minutes

3rd lap = 36 minutes i.e. at 10:36 am he'll complete his 3rd lap .

This means Kory & Leanne will meet at 10:36 am completing there 4th and 3rd lap respectively .

6 0
4 years ago
An electric company has to track on-time payments and late payments for each customer monthly. It is impossible for a customer t
OLga [1]

Answer:

The  probability that a customer pays late each month is    P(B)  =  0.27

Step-by-step explanation:

Let     P( A ) be the probability that the customer pays on time and the value is  0.55

Let  P( B )  be the  probability that a customer pays late each month

So

  The probability that a customer pays late or on-time each month  is  P(A u B) and  the value is  0.82

The probability that a customer pays on-time and late each month is  P(A n B) and  the value is  zero ( 0 ) given that it is impossible

   Now The probability that a customer pays late or on-time each month  is mathematically represented as

      P(A u B)  =  P(A) +  P(B)  -   P(A n B)

=>     0.82  =  0.55 + P( B ) -   0

=>    P(B)  =  0.27

8 0
3 years ago
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