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ivann1987 [24]
3 years ago
12

A popular film series has produced 22 films of which 11 have been good. A new film from the series is about to come out, and wit

hout any additional information we would assume that the odds it is good is 11 out of 22. Historically, 73.3% of good films have a good trailer and 22.6% of bad films have a good trailer. The new film releases a good trailer. What is the probability that the film is good now
Mathematics
1 answer:
SIZIF [17.4K]3 years ago
4 0

Answer:

76.43%

Step-by-step explanation:

Calculation for the probability that the film is good now

Let good film be :P(good film) = 11/22

Let bad film be : P(bad film) = 22-11/22 =11/22

P(good trailer | good film) = 0.733

P(good trailer | bad film) = 0.226

First step

P(good trailer)=11/22 (0.733)+11/22(0.226)

P(good trailer)=0.3665+0.113

P(good trailer)=0.4795

Second step

P(good film |good trailer )=0.733(11/22)/0.4795

P(good film |good trailer )=0.3665/0.4795

P(good film |good trailer )=0.7643*100

P(good film |good trailer )=76.43%

Therefore the probability that the film is good now will be 76.43%

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Brums [2.3K]

Answer:

9y+2y-5y=6y

Step-by-step explanation:

So we have the expression:

9y+2y-5y

To simplify, simply combine the like terms. Therefore:

9y+2y-5y\\=11y-5y\\=6y

Further notes:

To understand why we can combine like terms in the first place, we just need to use the distributive property. So we have the expression:

9y+2y-5y

Now, factor out a y from the three terms:

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Do all the operations inside the parenthesis:

y(9+2-5)\\=y(11-5)\\=y(6)=6y

And we moved the y back to the front!

This is the same result as before. When combining like terms, this is what we're essentially doing but without doing the distributive property manually. I hope you understand a bit better on how and why we can combine like terms!

7 0
3 years ago
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A dairy scientist is testing a new feed additive. She chooses 13 cows at random from a large population of cows. She randomly as
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Answer:

Step-by-step explanation:

Given that a dairy scientist is testing a new feed additive. She chooses 13 cows at random from a large population of cows. She randomly assigns nold = 8 to get the old diet, and nnew = 5 to get the new diet including the additive.

From the data given we get the following

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Sample   1    8           43       5.1824 1.832

Sample   2   5           73     21.0832 9.429

df = 11

Std dev for difference = 13.3689

a) Yes the two are independent.  The two sets of cows randomly chosen are definitely independent. Paired means equal number should be there and homogeneous conditions should be maintained.

b) Enclosed

c) Comparison of two means is the test recommended here.  Because independent samples are used.\

d) Test statistic= -3.1233

(because of unequal variances we use that method)

95% confidence interval =  ( -56.6676 , -3.3324 )

p value <0.05 our alpha

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The two means are statistically significantly different.

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3 years ago
Three lizards eat 63 grams of food each day. How many grams of food would you expect 5 lizards to eat
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Answer: 105 grams

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3 years ago
Carmen received a gift of $5,000 from her grandmother and decided to invest it. the expression 5000(1.0005)^12t represents the a
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The equivalent expression for the expression that represents the amount Carmen would earn is 5000(1.0005^12)^t.

<h3>What is the equivalent expression?</h3>

Based on the expression given, Carmen's investment is compounded monthly.

The formula for calculating future value:

FV = P (1 + r)^nm

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5000(1.0005)^12t

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Please find attached the complete question.To learn more about future value, please check: brainly.com/question/18760477

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Answer:

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