All categories

2 years ago

The following are the last 10 run scores Colin got in cricket:

Mathematics

1 answer:

Vera_Pavlovna [14]2 years ago

7 0

Answer:

a)18.8

b)20

Step-by-step explanation:

Basically, you have to add all the numbers from the data set (188) then divide them by 10 and that equals 18.8

The second part you have to add 32 to 188 ( which equals 210) and that by 11 which equals 20

You might be interested in

What’s the slope of the parallel line that passes through (-19, 14) and (19, 11).

laiz [17]

Answer:

19,12

Step-by-step explanation:

6 0

3 years ago

The real number square root of 16 belongs to which sets of numbers?

klasskru [66]

Answer: Square root of 16 is +4 or -4. Since -4 is not a natural number, the square root can be described as an integer.

Step-by-step explanation:

The square root of 16 is a rational number. The square root of 16 is 4, an integer

3 0

3 years ago

Can you answer this question ?

Elden [556K]

Answer:

k = -14

Step-by-step explanation:

We should cross-multiply

9/(k - 7) = 6 / k

9*k = 6 * (k - 7)

9k = 6k - 42

9k - 6k = -42

3k = -42

k = -14

7 0

3 years ago

How can you divide 133 nickels into 8 bags so that there are the same number of nickels in each bag and the number in each bag i

MaRussiya [10]

There is no way to divide them because 133 is odd, so 133 divided by 8 would be 16.625.

3 0

3 years ago

Find the margin of error for the given values of c, o, and n.

Alika [10]

Using the z-distribution, it is found that the margin of error is of 0.059.

We are given the standard deviation for the population, hence the <em>z-distribution</em> is used.

<h3>What is the margin of error for a z-confidence interval?</h3>

It is given by:

$M = z\frac{\sigma}{\sqrt{n}}$

In which:

z is the critical value.

$\sigma$ is the population standard deviation.

n is the sample size.

In this problem, the parameters are:

$\sigma = 0.25, n = 49$ .

Confidence level of 0.90, hence, using a z-distribution calculator, the critical value is z = 1.645.

Then:

$M = z\frac{\sigma}{\sqrt{n}}$

$M = 1.645\frac{0.25}{\sqrt{49}}$

$M = 0.059$

The margin of error is of 0.059.

You can learn more about the z-distribution at brainly.com/question/12517818

4 0

2 years ago