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bija089 [108]
3 years ago
5

What is the average of all integers from 11 to 35

Mathematics
2 answers:
horsena [70]3 years ago
5 0
24 becuase add the two together then divide by two
Lena [83]3 years ago
5 0
1st let's calculate the sum from 1 to 35:

it's an arithmetic progression  with first term a = 11, last term = 35 and the number of term n = 25

s= (11+35)25/2 = 575

Average = 575/25 = 23

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A survey​ asked, "How many tattoos do you currently have on your​ body?" Of the males​ surveyed, responded that they had at leas
Musya8 [376]

Complete Question

The complete question is shown on the first uploaded image

Answer:

The  95% interval for p_1 - p_2 is  -0.0171 ,0.0411

Option A is correct

Step-by-step explanation:

From the question we are told that

   The sample size of male  is n_1 =  1211

    The number of males that  said they have at least one tattoo is r =  182

   The sample size of female is n_2  =  1041

     The number of females that  said they have at least one tattoo is k =  144

Generally the sample proportion of male is  

            \r p_1 =  \frac{r}{ n_1}

substituting values

            \r p_1 =  \frac{ 182}{1211}

             \r p_1 =  0.1503

Generally the sample proportion of female is  

            \r p_2 =  \frac{k}{ n_2}

substituting values

           \r p_2 =  \frac{ 144}{1041}

           \r p_2 = 0.1383

Given that the confidence level is  95% then the level of  significance is mathematically represented as

          \alpha =100-95

          \alpha =5\%

          \alpha =0.05

Next we obtain the critical value of \frac{\alpha }{2} from the normal distribution table , the value is

          Z_\frac{\alpha }{2}  =  1.96

Generally the margin of error is mathematically represented as

        E =  Z_{\frac{\alpha }{2} } *  \sqrt{\frac{\r p_1 (1- \r p_1)}{n_1}  + \frac{\r p_2 (1- \r p_2)}{n_2}  }

substituting values

       E =  1.96 *  \sqrt{\frac{ 0.1503 (1- 0.1503)}{1211}  + \frac{0.1383 (1- 0.1383)}{1041}  }

       E = 0.0291

The 95% confidence interval is mathematically represented as

        (\r p_1 - \r p_2 ) - E <  p_1-p_2 <  (\r p_1 - \r p_2 ) + E

substituting values

         (0.1503- 0.1383 ) - 0.0291 <  p_1-p_2 <  (0.1503- 0.1383 ) + 0.0291

          -0.0171 <  p_1-p_2 < 0.0411

So the interpretation is that there is 95% confidence that the difference of the proportion is in the interval .So conclude that there is insufficient evidence of a significant difference in the proportion of male and female that have at least one tattoo

This because the difference in proportion is less than \alpha

5 0
3 years ago
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