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Alexeev081 [22]
3 years ago
15

How do I get upper and lower quartile ranges

Mathematics
1 answer:
xeze [42]3 years ago
8 0

Answer:

This is what I always did

1. Order the data from least to greatest

2. Find the median

3. Find the lower quartile

4. Find the upper quartile

And that is how I always found the ranges

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Please help me find the y intercept for the table! picture is below
swat32

Answer:

a

(Graph shows variables conducted) - shows that 1 ,2, 5, 8, 11 - odd<

5 0
3 years ago
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What is the volume of the cylinder below?
MrRissso [65]
I think it would be 175
4 0
3 years ago
In a list of households, own homes and do not own homes. Five households are randomly selected from these households. Find the p
hichkok12 [17]

Answer:

The probability of success for this case would be:

p =\frac{9}{15}= 0.6 representing the proportion of homes that are own homes

Let X the random variable of interest, on this case we now that:  

X \sim Binom(n=15, p=0.6)  

The probability mass function for the Binomial distribution is given as:  

P(X)=(nCx)(p)^x (1-p)^{n-x}  

Where (nCx) means combinatory and it's given by this formula:  

nCx=\frac{n!}{(n-x)! x!}  

And we want this probability:

P(X=3)

And uing the probability mass function we got:

P(X=3)= 15C3 (0.6)^3 (1-0.6)^{15-3}= 0.00165

Step-by-step explanation:

Adduming the following info: In a list of 15 households, 9 own homes and 6 do not own homes. Five households are randomly selected from these 15 households. Find the probability that the number of households in these 5 own homes is exactly 3.

Round your answer to four decimal places

P (exactly 3)=

Previous concepts  

The binomial distribution is a "DISCRETE probability distribution that summarizes the probability that a value will take one of two independent values under a given set of parameters. The assumptions for the binomial distribution are that there is only one outcome for each trial, each trial has the same probability of success, and each trial is mutually exclusive, or independent of each other".  

Solution to the problem

The probability of success for this case would be:

p =\frac{9}{15}= 0.6 representing the proportion of homes that are own homes

Let X the random variable of interest, on this case we now that:  

X \sim Binom(n=15, p=0.6)  

The probability mass function for the Binomial distribution is given as:  

P(X)=(nCx)(p)^x (1-p)^{n-x}  

Where (nCx) means combinatory and it's given by this formula:  

nCx=\frac{n!}{(n-x)! x!}  

And we want this probability:

P(X=3)

And uing the probability mass function we got:

P(X=3)= 15C3 (0.6)^3 (1-0.6)^{15-3}= 0.00165

4 0
3 years ago
I will give 80 points
faltersainse [42]

Answer:

8 home games and 10 away games

Step-by-step explanation:

Total home goals

= 8 +5 +9 +8 = 30

Number of home games

= 30/3.75 = 8

Total away game goals

= 7 + 8 + 4 + 5 = 24

Number of away games

= 24/2.4 = 10

Easy Peasy :) Hope this helped! <3 brainliest please :)

7 0
2 years ago
Unit rate<br>How many cents would you earn per minute? <br>Show work<br>ASAP
Yanka [14]
So, it depends. Imma give you two answers, all of which are the same at the end. They just have different ways to do it.

1. So, it's<span> $9 per hour, or $9 per 60 min </span>
<span>You can write a ratio: 9/60 = n/1 </span>
<span>In this case you have to divide 9 by 60 cause
60/60 = 1 </span>
<span>And n=0.15 </span>
<span>Answer: you earn 15 cents per min. 

2.</span><span>$9 = 900 cents </span>
<span>900 cents divided by 60 minutes = 15 cents in a minute.

Hope this helps love!! :)</span>
8 0
3 years ago
Read 2 more answers
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