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victus00 [196]
3 years ago
11

Joshi's football team has never scored more than 31 points in a game. Which inequality represents the number of points that they

would need to score to beat their record?
Mathematics
1 answer:
Lemur [1.5K]3 years ago
6 0

Answer: n > 31

Step-by-step explanation:

From the question, we are informed that Joshi's football team has never scored more than 31 points in a game.

The inequality that represents the number of points that they would need to score to beat their record will be to have a number that is greater than 31.

This will be n > 31

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A wall is 12 feet long and 8 feet tall. There is a square window 4 feet long in the wall What is the area of the wall
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Answer:

80112

Step-by-step explanation:

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3 years ago
Please help will mark brainliest PLZZZZZZzzz
polet [3.4K]

Answer:

see explanation

Step-by-step explanation:

The reciprocal of a number n is \frac{1}{n}

(a)

1 \frac{6}{7} ← change to an improper fraction

= \frac{13}{7}

Then its reciprocal is \frac{1}{\frac{13}{7} } = \frac{7}{13}

(b)

The reciprocal of \frac{7}{13} is \frac{1}{\frac{7}{13} } = \frac{13}{7} = 1 \frac{6}{7}

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4 0
3 years ago
In answering on a multiple choice test, a student either know the answer or guesses. Let p be the probability that the students
LenaWriter [7]

Answer:

P(A_{1}|B ) =\frac{mp}{1+p(m-1)}

Step-by-step explanation:

For mutually exclusive events as A1, A2, A3, etc, Bayes' theorem states:

P(A|B)= \frac{P(B|A)P(A)}{P(B)}

P(A|B) is a conditional probability: the likelihood of event A occurring given that B is true.

P(B|A) is a conditional probability: the likelihood of event B occurring given that A is true.

P(A) is the probability that A occurs

P(B) is the probability that B occurs

For this problem:

A1 is the probability that the student knows the answer

A2 is the probability that the student guesses the answer

B is the probability that the student answer correctly

P(A_{1})=p \\P(A_{2})=1-p \\P(B|A_{1})=1 \\P(B|A_{2})=\frac{1}{m} \\P(B)= P(A_{1})P(B|A_{1}) + P(A_{2})P(B|A_{2})= p+\frac{1-p}{m} \\

P(B|A₁) means the probability that the answer is correct when he knew the answer

P(B|A₂) means the probability that the answer is correct when he guessed the answer

P(A₁|B) means the probability that he knew the answer when the answer was correct

Replacing everything in the Bayes' theorem you get:

P(A_{1}|B)= \frac{P(B|A_{1})P(A_{1})}{P(B)}=\frac{(1)(p)}{p+\frac{1-p}{m}} =\frac{mp}{mp+1-p} =\frac{mp}{1+p(m-1)}

5 0
3 years ago
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crimeas [40]
X= 4

Because I need to answer a question in order to answer other questions so your welcome.
5 0
3 years ago
Whats the answer to 5-y=10
zubka84 [21]
5-y=10 , 10-5=y, so y=5
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3 years ago
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