What’s wrong with the following frequency distribution?                      X                  f                 220‑239            1                 200‑219            0                 160‑199            0                 140‑159          11                 120‑139          17                 100‑119          21                  70‑ 99            14                  60‑ 69              8                  30‑ 59              7                  20‑ 29              2                   0‑ 19               1                     total                   82 A.not exactly ten classes B.unequal classes C.gaps between classes D.nothing is wrong

An investigator wants to assess the association between caffeine consumption and impaired glucose tolerance, a precursor to diabetes. A study is planned to include 70 participants. Each participant will be surveyed with regard to their daily caffeine consumption. In addition, each participant will submit a blood sample which will be used to measure glucose level. Identify the type of study proposed and indicate its specific strengths and weaknesses.

Suppose the distribution below represents the probability of a person to make a certain grade in  Chemistry 101, where x = the letter grade of the student in the class (A=4, B=3, C=2, D=1, F=0).  2. Determine the probability that a student selected at random would make a C or higher in  Chemistry 101.  X 0 1 2 3 4  P(X) 0.08 0.22 0.34 0.21 0.15 

Blossom’s Flowers purchases roses for sale for Valentine’s Day. The roses are purchased for $10 a dozen and are sold for $20 a dozen. Any roses not sold on Valentine’s Day can be sold for $5 per dozen. The owner will purchase 1 of 3 amounts of roses for Valentine’s Day: 100, 200, or 400 dozen roses. Given 0.2, 0.4, and 0.4 are the probabilities for the sale of 100, 200, or 400 dozen roses, respectively, then the EOL for buying 200 dozen roses isa) $700b) $900c) $1,500d) $1,600

The assembly line that produces an electronic component of a missile system has historically resulted in a 2% defective rate. A random sample of 800 components is drawn. What is the probability that the defective rate is greater than 4%? Suppose that in the random sample the defective rate is 4%. What does that suggest about the defective rate on the assembly line?