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2 years ago

Please help!

Mathematics

1 answer:

iogann1982 [59]2 years ago

4 0

Answer: 54%

Step-by-step explanation:

In probability and logic theory, two events are said to be mutually exclusive or disjoint when both events cannot occur or happen at the same time.

A clear example of mutually exclusive event is the set of outcomes of a single toss of a coin which can either result in heads or tails, but can not be both.

P(S) = 30%, and P(T) = 24%

P(S or T) = P(S) or P(T) = 30% + 24%

= 54%

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Chen wants to buy a pair of pants that regularly cost $54 . Today, the pants are on sale for 60% of the original price.

s2008m [1.1K]

Do a proportion
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Cross multiply and divide
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3,240 divided by 100 is 32.4

Now subtract
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1 year ago

The standard tip in a restaurant is 15% of the bill before tax. Many people in California find the tip by doubling the sales tax

cricket20 [7]

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3 years ago

The ability to find a job after graduation is very important to GSU students as it is to the students at most colleges and unive

gtnhenbr [62]

Answer: (0.8468, 0.8764)

Step-by-step explanation:

Formula to find the confidence interval for population proportion is given by :-

$\hat{p}\pm z^*\sqrt{\dfrac{\hat{p}(1-\hat{p})}{n}}$

, where $\hat{p}$ = sample proportion.

z* = Critical value

n= Sample size.

Let p be the true proportion of GSU Juniors who believe that they will, immediately, be employed after graduation.

Given : Sample size = 3597

Number of students believe that they will find a job immediately after graduation= 3099

Then, $\hat{p}=\dfrac{3099}{3597}\approx0.8616$

We know that , Critical value for 99% confidence interval = z*=2.576 (By z-table)

The 99 % confidence interval for the proportion of GSU Juniors who believe that they will, immediately, be employed after graduation will be

$0.8616\pm(2.576)\sqrt{\dfrac{0.8616(1-0.8616)}{3597}}$

$0.8616\pm (2.576)\sqrt{0.0000331513594662}$

$\approx0.8616\pm0.0148\\\\=(0.8616-0.0148,\ 0.8616+0.0148)=(0.8468,\ 0.8764)$

Hence, the 99 % confidence interval for the proportion of GSU Juniors who believe that they will, immediately, be employed after graduation. = (0.8468, 0.8764)

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2 years ago