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miss Akunina [59]
3 years ago
10

Markus is overdrawn at the bank by $9. His brother has $15 more than him. How much money does Markus’ brother have?

Mathematics
1 answer:
shusha [124]3 years ago
6 0

Answer:

24$

Step-by-step explanation:

its just 9$ + 15$ = 24$

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Based on the records for the past several​ seasons, a sports fan believes the probability the red team wins is 0.30. The fan als
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Answer:

The red team is expected to win 6 fewer games than the blue team

Step-by-step explanation:

In this question, we are concerned with calculating the number of games the red team is expected to win less than what the blue team will win, given the probability of wining of each of the teams and the total number of games

To calculate the total number of games each team is expected to win, what we do is to multiply the probability of wining of each of the teams by the total number of games

For the red team , the probability of wining P(r) = 0.3

The total number of games expected to be won is mathematically equal to 0.3 × 120 = 36 games

For the blue team , the probability of wining P(b) = 0.35

The total number of games expected to be won is mathematically equal to 0.35 × 120 = 42 games

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6 0
3 years ago
Suppose an article reported that 14% of unmarried couples in the United States are mixed racially or ethnically. Consider the po
Anvisha [2.4K]

Answer: \mu_{\hat{p}}=0.14 and \sigma_{\hat{p}}=0.0347

Step-by-step explanation:

In sampling distribution of \hat{p}.

The mean and standard deviation of the sampling distribution of p is given by :-

\mu_{\hat{p}}=p

\sigma_{\hat{p}}=\sqrt{\dfrac{p(1-p)}{n}}  , where p= population proportion and n= sample size.

Let p be the population proportion of unmarried couples in the United States are mixed racially or ethnically.

As per given , we have

n = 100

p= 14% =0.14

Then, the mean and standard deviation of the sampling distribution of p will be :

\mu_{\hat{p}}=0.14

\sigma_{\hat{p}}=\sqrt{\dfrac{0.14(1-0.14)}{100}}

\sigma_{\hat{p}}=\sqrt{\dfrac{0.14(0.86)}{100}}

\sigma_{\hat{p}}=\sqrt{\dfrac{0.1204}{100}}

\sigma_{\hat{p}}=\sqrt{0.001204}

\sigma_{\hat{p}}=0.0346987031458\approx0.0347

Hence, the required answer : \mu_{\hat{p}}=0.14 and \sigma_{\hat{p}}=0.0347

8 0
3 years ago
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