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lana [24]
2 years ago
13

Sue spent 1 hour 19 minutes less than Jared reading last week. Jared spent 45 minutes less than Pete. Pete spent 3 hours reading

. How long did Sue spend reading?
Mathematics
1 answer:
polet [3.4K]2 years ago
6 0

Sue spend 56 minutes in reading.

<h3>What is Unitary Method?</h3>

Unitary method is a process by which we find the value of a single unit from the value of multiple units and the value of multiple units from the value of a single unit.

Sue spent 1 hour 19 minutes less than Jared

Lucas spent 45 minutes less than Pete.

Pete spent 3 hours reading.

Since, pete spent 3 hours. So, Jared spent

= 3 hours or (180 minutes) - 45 minutes

= 2 hours 15 minutes.

Now, Seu spent = 2 hrs 15 minutes - 1 hour 19 minutes  

                           = 56 minutes

Learn more about unitary method here:

brainly.com/question/22056199

#SPJ1

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A national study report indicated that​ 20.9% of Americans were identified as having medical bill financial issues. What if a ne
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The​ p-value for this​ test is 0.22065.

Step-by-step explanation:

We are given that a national study report indicated that​ 20.9% of Americans were identified as having medical bill financial issues.

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<u><em>Let p = proportion of Americans who were identified as having medical bill financial issues in 10 cities.</em></u>

SO, Null Hypothesis, H_0 : p \leq 20.9%   {means that % of Americans who were identified as having medical bill financial issues in these 10 cities is less than or equal to 20.9%}

Alternate Hypothesis, H_A : p > 20.9%   {means that % of Americans who were identified as having medical bill financial issues in these 10 cities is more than 20.9% and is more severe}

The test statistics that will be used here is <u>One-sample z proportion</u> <u>statistics</u>;

                                  T.S.  = \frac{\hat p-p}{{\sqrt{\frac{\hat p(1-\hat p)}{n} } } } }  ~ N(0,1)

where, \hat p = sample proportion of 400 Americans from 10 cities who were found having such difficulty =  \frac{90}{400} = 0.225 or 22.5%

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So, <u><em>test statistics</em></u>  =  \frac{0.225-0.209}{{\sqrt{\frac{0.225(1-0.225)}{400} } } } }

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<u></u>

<u>Now, P-value of the test statistics is given by the following formula;</u>

         P-value = P(Z > 0.77) = 1 - P(Z \leq 0.77)

                                            = 1 - 0.77935 = 0.22065

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