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A random sample of 200 female high school students in india showed that 110 are on Facebook A separate random sample of 150 male high school students in india showed that 69 are on Facebook. Let 
p1 and 
p2 be the proportion of all female and male high school students in India, respectively, who are on Facebook. Which of the following represents a 
95% confidence interval for 
p1 - p22

cos=2sqrt((sin 6)/(3)+(cos x)/(cos))

0.05=1.65sqrt((lan)/(2))

88. A random sample of 200200 female high school students in india showed that 110110 are on Facebook A separate random sample of 150150 male high school students in india showed that 6969 are on Facebook. Let p1 p 1 and p2 p 2 be the proportion of all female and male high school students in India, respectively, who are on Facebook. Which of the following represents a 95% 95 \% confidence interval for p1 p 1 - p2222\newlinecos=2sin63+cosxcos \cos =2 \sqrt{\frac{\sin 6}{3}+\frac{\cos x}{\cos }} \newline0.05=1.65lan2 0.05=1.65 \sqrt{\frac{\operatorname{lan}}{2}}

Full solution

Q. 88. A random sample of 200200 female high school students in india showed that 110110 are on Facebook A separate random sample of 150150 male high school students in india showed that 6969 are on Facebook. Let p1 p 1 and p2 p 2 be the proportion of all female and male high school students in India, respectively, who are on Facebook. Which of the following represents a 95% 95 \% confidence interval for p1 p 1 - p2222\newlinecos=2sin63+cosxcos \cos =2 \sqrt{\frac{\sin 6}{3}+\frac{\cos x}{\cos }} \newline0.05=1.65lan2 0.05=1.65 \sqrt{\frac{\operatorname{lan}}{2}}
  1. Calculate Sample Proportions: Calculate the sample proportions for females and males.\newlineFor females: p1=110200=0.55p_1 = \frac{110}{200} = 0.55\newlineFor males: p2=69150=0.46p_2 = \frac{69}{150} = 0.46
  2. Calculate Standard Error: Calculate the standard error (SE) of the difference in proportions.\newlineSE=(p1(1p1)/200)+(p2(1p2)/150)SE = \sqrt{(p1 \cdot (1 - p1) / 200) + (p2 \cdot (1 - p2) / 150)}\newline =(0.550.45/200)+(0.460.54/150)= \sqrt{(0.55 \cdot 0.45 / 200) + (0.46 \cdot 0.54 / 150)}\newline =(0.2475/200)+(0.2484/150)= \sqrt{(0.2475 / 200) + (0.2484 / 150)}\newline =0.0012375+0.001656= \sqrt{0.0012375 + 0.001656}\newline =0.0028935= \sqrt{0.0028935}\newline =0.0538= 0.0538
  3. Calculate Confidence Interval: Calculate the 9595% confidence interval using the Z-value for 9595% confidence 1.961.96.(\newline\)Lower limit = p1p2p_1 - p_2 - 1.96×SE1.96 \times SE = 0.550.460.55 - 0.46 - 1.96×0.05381.96 \times 0.0538 = 0.090.10540.09 - 0.1054 = \$\(-0\).\(0154\)(\newline\)Upper limit = \(p_1 - p_2\) + \(1.96 \times SE\) = \(0.55 - 0.46\) + \(1.96 \times 0.0538\) = \(p_1 - p_2\)\(0\) = \(p_1 - p_2\)\(1\)

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