A study of the ability of individuals to walk in a straight line reported the accompanying data on cadence (strides per seconds) for a sample of n = 20 randomly selected healthy men: .95 .81 .93 .95 .93 .86 1.05 .92 .85 .81 .92 .96 .92 1.00 .78 1.06 1.06 .96 .85 .92 A normal probability plot gives substantial support to the assumption that the population distribution of cadence is approximately normal. Calculate and interpret 95% confidence intervals for population mean and standard deviation cadence.

step-by-step explanation:

were is the equation

4x and 6y

im not sure though

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;