Confidence interval for two proportions

Confidence Interval for Two Proportions

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A case study suggests that there is a gender difference in the proportion of sprite consumers.  The summary data from the study that sampled 296 women and 251 men found that 63 of the women consumed sprite on a regular basis while only 27 of the men consumed sprite on a regular basis. 

Construct a 99% confidence interval for the difference.

[−0.166; 0.044]\left[-0.166;\ 0.044\right][−0.166; 0.044]

[0.044; 0.166]\left[0.044;\ 0.166\right][0.044; 0.166]

[0.074 ; 0.135]\left[0.074\ ;\ 0.135\right][0.074 ; 0.135]

[0.0259 ; 0.1845]\left[0.0259\ ;\ 0.1845\right][0.0259 ; 0.1845]

I don't know

Hypothesis testing for two proportions

Black cats are considered bad luck in Canada but good luck in Japan.  A random sample of  households with cats was drawn in both countries to see if their owners have at least one black cat.  We wish to test if Japan has a different proportion of pet owners with black cats than Canada.  It turns out that the 95% confidence interval for the difference in proportions contains “0”. 
(a) What is your conclusion at the 5% level of significance? 
(b) Will your conclusion change if we perform a 99% confidence interval instead? 

Confidence interval for two proportions

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Confidence Interval for Two Proportions

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Hypothesis testing for two proportions