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1. For any set F and point x in a metric space recall that d(x, F ) := inf{d(x, y): y ∈ F }. Let F be a closed set in a normed linear space S with the usual distance d(x, y) := x - y . Show that d(·, F ) isa convex function if and only if F is a convex set.
2. Let U be a convex open set in Rk . For any set A ⊂ Rk let - A := {-x : x ∈ A}. Assume U = -U , so that 0 ∈ U . Let µ be a measure defined on the Borel subsets of U with 0 <>(U ) <>∞ and µ(B) ≡ µ(-B). Let f be a convex function on U . Show that f (0) ≤ ( f dµ/µ(U ). Hint: Use the image measure theorem 4.2.8 with T (x ) ≡ -x.
Think about a density curve that consists of two line segments. The first goes from the point (0, 1) to the point (0.7, 1). The second goes from (0.7, 1) to (0.9, 2) in the xy-plane. What percent of observations fall below 0.70?
Its known that 5% of all AA bateries made by Power Manufactures are defective. AA batteries are sold in packs of 4. Find the probability that a pack of 4 has exaclty 2 defective batteries.
How would you go about studying a nonlinear or curvilinear relationship between two variables using contingency tables and chi-square tests? Provide examples from you own professional experience.
Let p represent the proportion of registered voters in the state that would vote for the Republican candidate. The standard error for the proportion of those who phoned in who answered "yes" is
a sample set of 29 scores has a mean of 76 and a standard deviation of 7. can we accept the hypothesis that the sample
Create the table for frequency distribution that has 16 class intervals of width 1 inch. Utilize 61.5 inches as lower limit of first interval and 62.5 as upper limit.
Graph the distribution using a histogram. Calculate the mean and standard deviation.
Is there evidence to suggest a difference in the mean waiting times at the four body shops?
Bonus is sales are made to 3 of the neighbors, and $200 if he able to sell to 4 neighbors. In how many ways can edwards make bonuses greater than $50?
In a city, 65% of people drink coffee, 50% drink tea, and 25% both. What is the probability that a person chosen at random will drink at least one of coffee or tea? Will drink neither?
Is there evidence that the waiting time at this particular restaurant is less than 3.7 minutes? Use a 1% level of significance. What is your conclusion?
what critical value t from table c would you use for a confidence interval for the mean of the population in each of
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