Answer:
No one can help you unless you give us more information.
Step-by-step explanation:
Sorry =( I hope you find the answer somewhere.
There are 120 ways in which 5 riders and 5 horses can be arranged.
We have,
5 riders and 5 horses,
Now,
We know that,
Now,
Using the arrangement formula of Permutation,
i.e.
The total number of ways
,
So,
For n = 5,
And,
r = 5
As we have,
n = r,
So,
Now,
Using the above-mentioned formula of arrangement,
i.e.
The total number of ways
,
Now,
Substituting values,
We get,

We get,
The total number of ways of arrangement = 5! = 5 × 4 × 3 × 2 × 1 = 120,
So,
There are 120 ways to arrange horses for riders.
Hence we can say that there are 120 ways in which 5 riders and 5 horses can be arranged.
Learn more about arrangements here
brainly.com/question/15032503
#SPJ4
Answer:

General Formulas and Concepts:
<u>Pre-Algebra</u>
Order of Operations: BPEMDAS
- Brackets
- Parenthesis
- Exponents
- Multiplication
- Division
- Addition
- Subtraction
Equality Properties
<u>Pre-Calculus</u>
- Law of Sines:

Step-by-step explanation:
<u>Step 1: Define</u>
A = 50°
B = 62°
a = 4
<u>Step 2: Solve for </u><em><u>b</u></em>
- Substitute [LOS]:

- Cross-multiply:

- Isolate <em>b</em>:

- Evaluate:

- Round:

Answer:
a(i) 0
a(ii) π
b) [0, 4)
Step-by-step explanation:
a(i) ∑ₙ₌₁°° aₙ = π
The series converges, which means lim(n→∞) aₙ = 0.
a(ii) sₙ is the partial sum, so lim(n→∞) sₙ = π.
b) Use ratio test:
lim(n→∞)│aₙ₊₁ / aₙ│< 1
lim(n→∞)│[(3x−6)ⁿ⁺¹ / ((n+1)6ⁿ⁺¹)] / [(3x−6)ⁿ / (n6ⁿ)]│< 1
lim(n→∞)│[(3x−6)ⁿ⁺¹ / ((n+1)6ⁿ⁺¹)] × [(n6ⁿ) / (3x−6)ⁿ]│< 1
lim(n→∞)│(3x−6) n / (6(n+1))│< 1
│(3x−6) / 6│< 1
│3x−6│< 6
-6 < 3x − 6 < 6
0 < 3x < 12
0 < x < 4
Check the endpoints.
If x = 0, ∑ₙ₌₁°° (3(0)−6)ⁿ / (n6ⁿ) = ∑ₙ₌₁°° (−1)ⁿ / n, which converges.
If x = 4, ∑ₙ₌₁°° (3(4)−6)ⁿ / (n6ⁿ) = ∑ₙ₌₁°° 1 / n, which diverges.
So the interval of convergence is [0, 4).
Answer:
Check the explanation
Step-by-step explanation:
The fundamentals
A continuous random variable can take infinite values in the range associated function of that variable. Consider
is a function of a continuous random variable within the range
, then the total probability in the range of the function is defined as:

The probability of the function
is always greater than 0. The cumulative distribution function is defined as:

The cumulative distribution function for the random variable X has the property,

The probability density function for the random variable X has the properties,

Kindly check the attached image below to see the full explanation to the question above.