All categories

3 years ago

What is the probability of a 6 sided dice

Mathematics

1 answer:

olya-2409 [2.1K]3 years ago

8 0

Answer:

probability = 1 ÷ 6 = 0.167, or 16.7 percent chance.

Step-by-step explanation:

You might be interested in

Find the unknown number in the equation. 12-4=1+?+1

bagirrra123 [75]

Answer:

Step-by-step explanation:

12-4=5 and 1+3+1 also equals 5.

4 0

3 years ago

Read 2 more answers

Add. 1 1/2 + 3/5 + 1/8 A. 1 5/13 B. 27/15 C. 2 9/40 D. 1 3/8

Alex Ar [27]

Get the mixed number into one fraction
$\frac{3}{2} + \frac{3}{5} + \frac{1}{8}$
Get a common denominator
$\frac{60}{40} + \frac{24}{40} + \frac{5}{40}$
Now add
$\frac{89}{40}$
You can get it back to a mixed number
$2 \frac{9}{40}$

8 0

3 years ago

Read 2 more answers

If parallelogram ABCD was reflected over the y-axis ,reflected over the x-axis, and rotated 180 where would point A’ lie?

Nesterboy [21]

The answer to this would be parentheses zero, -2 parentheses

5 0

3 years ago

The quality of computer disks is measured by sending the disks through a certifier which counts the number of missing pulses. A

Westkost [7]

Answer:

Poisson distribution.

Step-by-step explanation:

We have the mean number of missing pulses per disk, which means that the distribution for X, the number of missing pulses, will be the Poisson distribution.

It is not the binomial distribution because we are not given the probability of a missing pulse on a disk, but the mean number of missing pulses.

4 0

3 years ago

A pediatrician wishes to study how the average weight Y (in kilograms) of children changes during the first year of life. He plo

leonid [27]

Answer:

Answer is option a ) 0.53

Step-by-step explanation:

slope = $r*\frac{s_y}{s_x}$

Given that a pediatrician wishes to study how the average weight Y (in kilograms) of children changes during the first year of life. He plots these averages versus the age X (in months) and decides to fit a least-squares regression line to the data with X as the explanatory variable and Y as the response variable.

He finds the following quantities:

r = correlation between X and Y= 0.84

x = mean of the values of X = 5.69

y = mean of the values of Y = 6.26

S_x = standard deviation of the values of X = 3.23

s_y = standard deviation of the values of Y = 2.04

Using the formula for slope given above substitute to get

$slope = 0.84*\frac{2.04}{3.23} \\=0.5305$

round off to 0.53

Answer is option a ) 0.53

3 0

3 years ago