All categories

3 years ago

What is the mean for 50 and 51

Mathematics

1 answer:

Olegator [25]3 years ago

5 0

Answer: 50.5

Step-by-step explanation:

CONCEPT TO KNOW

The mean of any numbers= The sum of all numbers/ The total amount of numbers.

---------------------------------------------------

The sum of all numbers: 50+51=101

The total amount of numbers: 50 and 51=2 numbers

The sum of all numbers/ The total amount of numbers

=101/ 2

=50.5

Hope this helps!! :)

Please let me know if you have any question

You might be interested in

what is the probability of drawing 1 red marble and 3 blue marbles when given 10 red marbles and 7 blue marbles?

nirvana33 [79]

The probability is 3/70

6 0

4 years ago

tamara finds the sum of two number cubes rolled at the same time. the chart below shows all possible sums frim thr 36 possible c

Alla [95]

Im notr sure but if we take the chances that the 4 sum has to be either (1.3) (3.1) (2.2) (2.2) that means its chance is 4/36 for each roll which is also 1/9 ,, we can multiply 1/9 times the roll times ( 252 ) we get =28

8 0

3 years ago

The Star television costs $750 more than the Jupiter television. The two models cost $2,600 all together. Sandra writes an equat

tiny-mole [99]

2600 - 750 = 1850 , 1850 / 2 = 925 , 925 + 750 = 1675 . star = $1675 and jupiter = $925 . so 2600 - c = star price ($1675)

5 0

4 years ago

Read 2 more answers

Karan and Preeti are sharing a packet of sweets in the ratio of 2:3 .If the total sweets is 50,how many sweets will Preeti get

Viktor [21]

Answer:

30 sweets

Step-by-step explanation:

From the above question

The ratio is given as:

Karan : Preeti

2:3

The sum of the proportion = 2 + 3 = 5

Total number of sweets = 50 sweets

The number of sweets Preeti will get is calculated as:

3/5 × 50 sweets

= 30 Sweets

Therefore, the number of sweets Preeti will get is 30 sweets

8 0

3 years ago

Suppose that a sample of size 100 is to be drawn from a population with standard deviation L0. a. What is the probability that t

NARA [144]

Answer:

The probability that the sample mean will lie within 2 values of μ is 0.9544.

Step-by-step explanation:

Here

the sample size is given as 100
the standard deviation is 10

The probability that the sample mean lies with 2 of the value of μ is given as

$P(| \bar{X}-\mu|$

Here converting the values in z form gives

$P(-2$

Substituting values

$P(-2$

From z table

$P(z\leq 2)=0.9772\\P(z\leq -2)=0.0228\\P(-2\leq z\leq 2)=P(z\leq 2)-P(z\leq -2)\\P(-2\leq z\leq 2)=0.9772-0.0228\\P(-2\leq z\leq 2)=0.9544\\$

So the probability that the sample mean will lie within 2 values of μ is 0.9544.

5 0

3 years ago