Respuesta :
Answer:
Confidence interval is [tex]0.2911<p<0.3489[/tex]
Step-by-step explanation:
Given that 32% of fans sport is basketball as favorite sport. So total number of fans is,
[tex] 32\%\times 1000[/tex]
[tex] = \dfrac{32}{100}\times 1000[/tex]
[tex] =320[/tex]
So 320 fans favorite sport is basket ball.
Now find sample proportion ,
[tex] \widehat{p}=\dfrac{number\:of\:people\:in\:the\:sample}{total\:number\:of\:people}[/tex]
Substituting the value,
[tex] \widehat{p}=\dfrac{320}{1000}[/tex]
[tex] \widehat{p}=0.320[/tex]
Formula for confidence interval is,
[tex] CI=\widehat{p}\pm z\sqrt{\dfrac{\widehat{p}\left (1-\widehat{p}\right )}{n}}[/tex]
To calculate the z value.
[tex]Confidence Level=1-\alpha[/tex]
[tex]0.95=1-\alpha[/tex]
[tex]0.05=\alpha[/tex]
Now divide above value by 2,
[tex]\dfrac{0.05}{2}=\dfrac{\alpha}{2}[/tex]
[tex]0.025=\dfrac{\alpha}{2}[/tex]
To find the value of z score calculate the area under the curve as follows
[tex]A=\dfrac{1+CL}{2} [/tex]
[tex]A=\dfrac{1+0.95}{2} [/tex]
[tex]A=\dfrac{1.95}{2} [/tex]
[tex]A=0.975 [/tex]
On z table, find the value of 0.975. So the row corresponding to 0.975 is 1.9 and column corresponding to 0.975 is 0.06. Adding these two values the z score is 1.96.
or find the value from excel by using command as follows,
=NORM.S.INV(0.025)= -1.959963985
Now substituting the value,
[tex]CI=0.320\pm 1.96\sqrt{\dfrac{0.320\left (1-0.320\right )}{1000}}[/tex]
[tex]CI=0.320\pm 0.02891[/tex]
Lower end of the interval is,
[tex]CI=0.320- 0.02891[/tex]
[tex]CI=0.2911[/tex]
Upper end of the interval is,
[tex]CI=0.320+ 0.02891[/tex]
[tex]CI=0.3489[/tex]
Therefore 95% confidence interval is [tex]0.2911<p<0.3489[/tex]