First calculate the Standard Error Of The Mean:
σx-bar = σ/√n or 1.94/√42 equivalent to 0.299.
The Sample Mean is the center of a Confidence Interval, so half of the interval (90%/2 or 45%) is directly to the right of the Sample Mean and half is directly to the left.
In a Table Of Proportions Of Area Under The Standard Normal Curve, find the area that most closely approximates 0.45 and set zc equal to the corresponding z-score of 1.64.
Substitute x-bar=6.88 and σx-bar =1.94/√42 into x-bar ± zcσx-bar to obtain the upper and lower limit of the Confidence Interval Boundary Formulas. The term zcσx-bar is commonly called the Margin Of Error or E and is here equal to 1.64(1.94)/√42 ≈ 0.49.
(Upper/Lower) Limit equals 6.88 (±) 1.64(1.94)/√42, giving 7.37 and 6.39.
The sample gives 90% confidence that the true population mean of the price per hundred pounds of watermelon lies on the interval between 6.39 and 7.37.