Ahypothesis regarding the weight of newborn infants at a community hospital is that the mean is 6.6 pounds. a sample of seven infants is randomly selected and their weights at birth are recorded as 9.0, 7.3, 6.0, 8.8, 6.8, 8.4, and 6.6 pounds. the null hypothesis is

The given sample is
x = [9.0, 7.3, 6.0, 8.8, 6.8, 8.4, 6.6]
The sample size is n = 7.
From the calculator, obtain
The sample mean is xb = 7.557
The sample std. deviation is s = 1.177

The expected population mean is μ = 6.6

Assume that the weights are normally distributed.
Calculate the z-score test statistic
z = (xb - mu)/(s/√n)
   = (7.557 - 6.6)/(1.177/√7)
   = 2.15

Select a confidence level of say, 95% so that the α-value if 0.05 for a 2-tailed test.

The null hypothesis is
H₀: xb = μ

38+105= 143, 39+104=143, and you will find then adding the numbers on opposite sides, moving inwards yields the answer 138 every time. because of this, you’re going to multiply 138 times the number of pairs, which is 34. therefore, 34*138= 4692(i’m sorry if it’s the wrong numbers, but it’s the right concept)