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Nonamiya [84]
3 years ago
15

Workout and simplify

Mathematics
2 answers:
Step2247 [10]3 years ago
7 0

Answer:

a) ⅖+⅓ = 6/15 + 5/15 = 11/15

b) 5/9 - 1/2 = 10/18 - 9/18 = 1/18

sineoko [7]3 years ago
3 0

Answer:

<h2>a) \frac{11}{15}</h2><h2>b) \frac{1}{18}</h2>

Step-by-step explanation:

<h2>a) \:  \frac{2}{5}  +  \frac{1}{3}</h2><h3>\frac{2}{5}  \times  \frac{3}{3}  +  \frac{1}{3}  \times  \frac{5}{5}</h3><h3>\frac{2 \times 3}{5 \times 3}  +  \frac{1 \times 5}{3 \times 5}</h3><h3>\frac{6}{15}  +  \frac{5}{15}</h3><h3>\frac{6 + 5}{15}</h3><h3>\frac{11}{15}</h3><h2>b) \:  \frac{5}{9}  -  \frac{1}{2}</h2><h3>\frac{5}{9}  \times  \frac{2}{3}  -  \frac{1}{2}  \times  \frac{9}{9}</h3><h3>\frac{5 \times 2}{9 \times 2}  -  \frac{1 \times 9}{2 \times 9}</h3><h3>\frac{10}{18}  -  \frac{9}{18}</h3><h3>\frac{10 - 9}{18}</h3><h3>\frac{1}{18}</h3><h3>Hope it is helpful...</h3>
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⦁ In a simple random sample of 1219 US adults, 354 said that their favorite sport to watch is football. Construct a 95% confiden
fomenos

Answer:

95% confidence interval for the proportion of adults in the United States whose favorite sport to watch is football is [0.265 , 0.316].

Step-by-step explanation:

We are given that in a simple random sample of 1219 US adults, 354 said that their favorite sport to watch is football.

Firstly, the pivotal quantity for 95% confidence interval for the proportion of adults in the United States whose favorite sport to watch is football is given by;

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

where, \hat p = proportion of adults in the United States whose favorite sport to watch is football in a sample of 1219 adults = \frac{354}{1219}

           n = sample of US adults  = 1291

           p = population proportion of adults

<em>Here for constructing 95% confidence interval we have used One-sample z proportion statistics.</em>

So, 95% confidence interval for the population proportion, p is ;

P(-1.96 < N(0,1) < 1.96) = 0.95  {As the critical value of z at 2.5%

                                                    significance level are -1.96 & 1.96}

P(-1.96 < \frac{\hat p-p}{\sqrt{\frac{\hat p(1-\hat p)}{n} } } < 1.96) = 0.95

P( -1.96 \times {\sqrt{\frac{\hat p(1-\hat p)}{n} } < {\hat p-p} < 1.96 \times {\sqrt{\frac{\hat p(1-\hat p)}{n} } ) = 0.95

P( \hat p-1.96 \times {\sqrt{\frac{\hat p(1-\hat p)}{n} } < p < \hat p+1.96 \times {\sqrt{\frac{\hat p(1-\hat p)}{n} } ) = 0.95

<u>95% confidence interval for p</u> = [ \hat p-1.96 \times {\sqrt{\frac{\hat p(1-\hat p)}{n} } , \hat p+1.96 \times {\sqrt{\frac{\hat p(1-\hat p)}{n} } ]

                         = [ \frac{354}{1219}-1.96 \times {\sqrt{\frac{\frac{354}{1219}(1-\frac{354}{1219})}{1219} } , \frac{354}{1219}+1.96 \times {\sqrt{\frac{\frac{354}{1219}(1-\frac{354}{1219})}{1219} } ]

                         = [0.265 , 0.316]

Therefore, 95% confidence interval for the proportion of adults in the United States whose favorite sport to watch is football is [0.265 , 0.316].

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