The difference of the sample means of two populations is 34.6, and the standard deviation of the difference of the sample means is 11.9.

the 95% confidence interval lies between -11.9 -23.8 -35.7 -45.4 and +11.9 +23.8 +35.7 +45.4 .

answer with explanation:

difference of the sample means of two populations = 34.6

difference of standard deviation of two samples = 11.9

95% of data lie within two standard deviation.

so, 95% confidence interval lies between

→→95% confidence interval of two samples lies between: 10.8 to 68.4.

126 maybe. sorry

d. 24+-0.114

step-by-step explanation:

the question requires us to calculate the approximate 95% confidence interval for the mean number of ounces of ketchup per bottle in the sample given the following statistics;

sample mean = 24

standard deviation, σ = 0.4

sample size , n = 49

the confidence interval for a population mean is calculated using the formula;

sample mean ± z-score*(σ/sqrt(n))

the z-score associated with a 95% confidence interval, from the standard normal tables, is;

1.96

substituting these values into the formula;

24 ± 1.96*(0.4/7)

= 24 ± 0.112

from the alternatives given, choice d is closest to the above expression;