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Elden [556K]
3 years ago
15

It is reported that 230 out of 600 middle school boys plan to see the new Captain Marvel movie. Find a 90% confidence interval e

stimate for the percentage of all middle school boys planning to see the movie. The movie theater claims that 25% of all middle school boys are planning to see the movie. Does their claim appear to be correct?
Mathematics
1 answer:
nevsk [136]3 years ago
5 0

Answer:

A 90% confidence interval estimate for the percentage of all middle school boys planning to see the movie is [0.350, 0.416].

Step-by-step explanation:

We are given that it is reported that 230 out of 600 middle school boys plan to see the new Captain Marvel movie.

Firstly, the pivotal quantity for finding the confidence interval for the population proportion is given by;

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

where, \hat p = sample proportion of middle school boys who plan to see the new Captain Marvel movie = \frac{230}{600} = 0.383

           n = sample of middle school boys = 600

           p = population proportion

<em>Here for constructing a 90% confidence interval we have used a One-sample z-test for proportions.</em>

<u>So, 90% confidence interval for the population proportion, p is ;</u>

P(-1.645 < N(0,1) < 1.645) = 0.90  {As the critical value of z at 5% level

                                                   of significance are -1.645 & 1.645}  

P(-1.645 < \frac{\hat p-p}{\sqrt{\frac{\hat p(1-\hat p)}{n} } } < 1.645) = 0.90

P( -1.645 \times {\sqrt{\frac{\hat p(1-\hat p)}{n} } } < {\hat p-p} < 1.645 \times {\sqrt{\frac{\hat p(1-\hat p)}{n} } } ) = 0.90

P( \hat p-1.645 \times {\sqrt{\frac{\hat p(1-\hat p)}{n} } } < p < \hat p+1.645 \times {\sqrt{\frac{\hat p(1-\hat p)}{n} } } ) = 0.90

<u>90% confidence interval for p</u> = [ \hat p-1.645 \times {\sqrt{\frac{\hat p(1-\hat p)}{n} } } , \hat p+1.645 \times {\sqrt{\frac{\hat p(1-\hat p)}{n} } } ]

   = [ 0.383-1.645 \times {\sqrt{\frac{0.383(1-0.383)}{600} } } , 0.383+1.645 \times {\sqrt{\frac{0.383(1-0.383)}{600} } } ]

   = [0.350, 0.416]

Therefore, a 90% confidence interval estimate for the percentage of all middle school boys planning to see the movie is [0.350, 0.416].

The claim of the movie theater that 25% of all middle school boys are planning to see the movie is incorrect because in the above interval 25% value is not included, that is between 35% and 42% middle school boys are planning to see the movie.

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hichkok12 [17]

Answer:

1

The claim is that the mean amount of Walker Crisps eaten was significantly higher for the children who watched the sports celebrity- endorsed Walker Crisps commercial

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The kind of test to use is a t -test because a t -test is used to check if there is a difference between means of a population

3

t  =  3.054

4

The p-value  is   p-value  =  P(Z >  3.054) = 0.0011291

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The conclusion is  

There is sufficient evidence to conclude that the mean amount of Walker Crisps eaten was significantly higher for the children who watched the sports celebrity- endorsed Walker Crisps commercial

The test statistics is  

Step-by-step explanation:

From the question we are told that

   The first sample size is  n_1  =  51

    The first sample  mean is \mu_1  =  36

    The second sample size is  n_2  =  41

    The second sample  size is  \mu_2  =  25

     The first standard deviation is  \sigma _1  =  21.4 \  g

    The second standard deviation is  \sigma _2  =  12.8 \  g

  The  level of significance is  \alpha =  0.05

The  null hypothesis is  H_o  :  \mu_1 = \mu_ 2

The  alternative hypothesis is  H_a :  \mu_1 > \mu_2

Generally the test statistics is mathematically represented as

    t  =  \frac{\= x_1 - \= x_2}{ \sqrt{ \frac{s_1^2}{n_1}  + \frac{s_2^2}{n_2}  } }

=>   t  =  \frac{ 36 - 25}{ \sqrt{ \frac{ 21.4^2}{51}  + \frac{ 12.8^2}{41}  } }

=> t  =  3.054

The  p-value is mathematically represented as

     p-value  =  P(Z >  3.054)

Generally from the z table  

             P(Z >  3.054) =  0.0011291

=>   p-value  =  P(Z >  3.054) = 0.0011291

From the values obtained  we see that p-value  < \alpha so  the null hypothesis is rejected

Thus the conclusion is  

  There is sufficient evidence to conclude that the mean amount of Walker Crisps eaten was significantly higher for the children who watched the sports celebrity- endorsed Walker Crisps commercial

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