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AnnZ [28]
3 years ago
7

15. Which measure of central tendency best describes this situation: the swim team's favorite season? Explain.

Mathematics
1 answer:
Natasha2012 [34]3 years ago
5 0

Answer:

Mean; there likely are no outliers.

Step-by-step explanation:

You might be interested in
What is the probability that the pencil was yellow 0/3 1/3 2/3 to 3/3
Norma-Jean [14]

Answer:

2/3

Step-by-step explanation:

8 0
3 years ago
What does pq equal and how do I find it???
Kay [80]
Use trigonometry.

sinQ = 14/50 = 0.28
-> angle Q = sin^-1(0.28) = approx 16 degrees

-> cosQ = A/H -> cos16 = PQ/50

=> PQ = 50*cos16 = approx 48.06

So yea.
3 0
2 years ago
The difference between two positive integers is 3. If the smaller is added to the square of the larger, the sum is 87.
Komok [63]
Let x be larger integer so x-3 is the smaller
so x^2+ x-3 = 87
x^2 +x -90=0 and factor
(x-9)(x+10)=0
x=9 or x=-10 but x must be positive
so x=9 and smaller number is 6
6 0
3 years ago
Consider the hypothesis test below.
Pavel [41]

Answer:

Z_{H0} =1.79

p-value: 0.0367

Decision: Reject H₀

Step-by-step explanation:

Hello!

Hypothesis to test:

H₀:ρ₁-ρ₂=0

H₁:ρ₁-ρ₂>0

The statistic to use to test the difference between two population proportions is the approximation of Z

Z=<u>     (^ρ₁-^ρ₂)-(ρ₁-ρ₂)     </u>   ≈N(0;1)

   √ (<u>^ρ₁(1-^ρ₁))/n₁)+(^ρ₂(1-^ρ₂)/n₂))</u>

                   

Z=<u>                    (0.28-0.15)-0                    </u>= 1.79

   √ (<u>0.28(1-0.28)/200)+(0.15(1-0.15)/300)</u>

p-value

Remember: The p-value is defined as the probability corresponding to the calculated statistic if possible under the null hypothesis (i.e. the probability of obtaining a value as extreme as the value of the statistic under the null hypothesis).

P(Z>1.79)= 0.0367

Conclusion:

Comparing the p-value against the significance level, you can decide to reject the null hypothesis.

I hope you have a SUPER day!

8 0
3 years ago
Given h(x) = 5x -1, find h(1).
Norma-Jean [14]
H(1) = 4


h(1)= 5 x 1 -1
=5-1
=4
hope that helps <3
5 0
3 years ago
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