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olga55 [171]
3 years ago
5

Factor by grouping:

Mathematics
2 answers:
yan [13]3 years ago
8 0
The idea is to group up the terms into two groups, factor each group and then factor out the overall GCF

2x+16+xy+8y
(2x+16)+(xy+8y)
2(x+8)+(xy+8y)
2(x+8)+y(x+8)
(2+y)(x+8)
(x+8)(2+y)

Answer: Choice A

LiRa [457]3 years ago
8 0
For this one I'm not sure the best method but I find it easiest to use guess and check. Go through each answer and multiply it out. use the FOIL method shown in the picture. Multiply the first two in the parenthesis, F. Then the outer two, O. Then the inner two, I. Then the last two, L.

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The ages of students enrolled in two math classes at the local community college, Class A and Class B, are listed in order below
nlexa [21]

Answer:

The true statement about Class B is that Class B has a smaller median and the same inter quartile range.

Step-by-step explanation:

We are given the ages of students enrolled in two math classes at the local community college, Class A and Class B, below;

Class A: 20, 20, 20, 21, 22, 23, 23, 25, 27, 29, 30, 31, 34, 35, 36, 39, 40

Class B: 16, 17, 18, 18, 20, 22, 22, 24, 26, 26, 28, 29, 30, 34, 37, 40, 42

1) <u>Firstly, we will calculate Median for Class A;</u>

For calculating median, first we have to observe that number of observations (n) in our data is even or odd, that is;

  • If n is odd, then the formula for calculating median is given by;

                     Median  =  (\frac{n+1}{2})^{th} \text{ obs.}

  • If n is even, then the formula for calculating median is given by;

                     Median  =  \frac{(\frac{n}{2})^{th} \text{ obs.}+(\frac{n}{2}+1)^{th} \text{ obs.}}{2}

Here, number of observation is odd, i.e. n = 17.

So,  Median  =  (\frac{n+1}{2})^{th} \text{ obs.}

                     =  (\frac{17+1}{2})^{th} \text{ obs.}

                     =  (\frac{18}{2})^{th} \text{ obs.}

                     =  9^{th} \text { obs.} = 27

Hence, the median of class A is 27.

2) <u>Now, we will calculate Median for Class B;</u>

For calculating median, first we have to observe that number of observations (n) in our data is even or odd, that is;

  • If n is odd, then the formula for calculating median is given by;

                     Median  =  (\frac{n+1}{2})^{th} \text{ obs.}

  • If n is even, then the formula for calculating median is given by;

                     Median  =  \frac{(\frac{n}{2})^{th} \text{ obs.}+(\frac{n}{2}+1)^{th} \text{ obs.}}{2}

Here, number of observation is odd, i.e. n = 17.

So,  Median  =  (\frac{n+1}{2})^{th} \text{ obs.}

                     =  (\frac{17+1}{2})^{th} \text{ obs.}

                     =  (\frac{18}{2})^{th} \text{ obs.}

                     =  9^{th} \text { obs.} = 26

Hence, the median of class B is 26.

3) Now, we will calculate the Inter quartile range for Class A;

Inter quartile range = Upper quartile - Lower quartile

                                = Q_3-Q_1

SO,  Q_1 = (\frac{n+1}{4})^{th} \text{ obs.}

             =  (\frac{17+1}{4})^{th} \text{ obs.}

             =  (\frac{18}{4})^{th} \text{ obs.}

             =  4.5^{th} \text{ obs.}

             =  4^{th}  \text{ obs.} + 0.5[5^{th} \text{ obs.} -  4^{th} \text{ obs.}]

             =  21+ 0.5[22-  21]

             =  21.5

Similarly,  Q_3 = 3(\frac{n+1}{4})^{th} \text{ obs.}

             =  3(\frac{17+1}{4})^{th} \text{ obs.}

             =  (\frac{54}{4})^{th} \text{ obs.}

             =  13.5^{th} \text{ obs.}

             =  13^{th}  \text{ obs.} + 0.5[14^{th} \text{ obs.} -  13^{th} \text{ obs.}]

             =  34+ 0.5[35-  34]

             =  34.5

Therefore, Inter quartile range for Class A = 34.5 - 21.5 = 13.

4) Now, we will calculate the Inter quartile range for Class B;

Inter quartile range = Upper quartile - Lower quartile

                                = Q_3-Q_1

SO,  Q_1 = (\frac{n+1}{4})^{th} \text{ obs.}

             =  (\frac{17+1}{4})^{th} \text{ obs.}

             =  (\frac{18}{4})^{th} \text{ obs.}

             =  4.5^{th} \text{ obs.}

             =  4^{th}  \text{ obs.} + 0.5[5^{th} \text{ obs.} -  4^{th} \text{ obs.}]

             =  18+ 0.5[20-  18]

             =  19

Similarly,  Q_3 = 3(\frac{n+1}{4})^{th} \text{ obs.}

             =  3(\frac{17+1}{4})^{th} \text{ obs.}

             =  (\frac{54}{4})^{th} \text{ obs.}

             =  13.5^{th} \text{ obs.}

             =  13^{th}  \text{ obs.} + 0.5[14^{th} \text{ obs.} -  13^{th} \text{ obs.}]

             =  30+ 0.5[34-  30]

             =  32

Therefore, Inter quartile range for Class B = 32 - 19 = 13.

Hence, the true statement about Class B is that Class B has a smaller median and the same inter quartile range.

4 0
4 years ago
What are the missing y values in the table
nadezda [96]

Answer:

0.) Y= -5

-1.) Y= +3

Step-by-step explanation:

8 0
3 years ago
Read 2 more answers
What is the difference between the absolute value of –8 and the absolute value of 6?
Flauer [41]
The answer would be 2.

The difference means you subtract the two numbers.

Absolute value makes the numbers within into a positive number.

The equation would be 8-6=2
6 0
3 years ago
Read 2 more answers
CAN U PLZ ANSWER THIS ITS FOR A TEST
iVinArrow [24]

Answer:

A. 300in^2

Step-by-step explanation:

Area=LWH

15*10*2=300

4 0
3 years ago
2. The Hereford Cattle Society says that the mean weight of a one-year-old Hereford bull is 1135 pounds, with a standard deviati
Andrews [41]

Answer:

16.35% probability their combined weight exceeds 46000 pounds.

Step-by-step explanation:

To solve this question, we have to understand the normal probability distribution and the central limit theorem.

Normal probability distribution:

Problems of normally distributed samples are solved using the z-score formula.

In a set with mean \mu and standard deviation \sigma, the zscore of a measure X is given by:

Z = \frac{X - \mu}{\sigma}

The Z-score measures how many standard deviations the measure is from the mean. After finding the Z-score, we look at the z-score table and find the p-value associated with this z-score. This p-value is the probability that the value of the measure is smaller than X, that is, the percentile of X. Subtracting 1 by the pvalue, we get the probability that the value of the measure is greater than X.

Central limit theorem:

The Central Limit Theorem estabilishes that, for a random variable X, with mean \mu and standard deviation \sigma, the sample means with size n of at least 30 can be approximated to a normal distribution with mean \mu and standard deviation s = \frac{\sigma}{\sqrt{n}}

In this problem, we have that:

\mu = 1135, \sigma = 97, n = 40, s = \frac{97}{\sqrt{40}} = 15.34

Find the probability their combined weight exceeds 46000 pounds.

This is 1 subtracted by the pvalue of Z when X = \frac{46400}{40} = 1150. So

Z = \frac{X - \mu}{\sigma}

By the Central Limit Theorem

Z = \frac{X - \mu}{s}

Z = \frac{1150 - 1135}{15.34}

Z = 0.98

Z = 0.98 has a pvalue of 0.8365

1 - 0.8365 = 0.1635

16.35% probability their combined weight exceeds 46000 pounds.

5 0
3 years ago
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