If we don't know the value of a parameter we need to build a confidence interval properly and we don't conduct a preliminary study to estimate it, how else can we construct our confidence interval?
A. Run a x’ test on the point estimates to find the actual values of the necessary parameters.
B. Identify the parameters with the Riemann Zeta functions ().
C. Use point estimates such as 7, 8, and pto estimate the necessary parameters.
D. Take the partial derivative te of point estimates to find the necessary parameters.

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Our star pitcher, foster enlight, can throw a pitch so fast that it gets to the catcher’s mitt before it leaves foster’s fingers! if the team wins a game then the probability that foster was pitching is 0.8 but only if foster had at least one day’s rest since his last pitching assignment. if foster does not have a day off and the team still wins, the probability that foster was pitching drops by half of what it was on the previous day. if the team wins three games in succession from the toronto tachyons and foster pitched in game #2, what is the probability that he pitched in one or more of the other games? (assume that foster did not pitch on the day before the first game of this three game series.)

What is the equation of the graph below? a) y = sec(x) + 2 b) y = csc(x) + 2 c) y = csc(x + 2) d) y = sec(x + 2)