P(81) = 0.54 P(s1 | F) = 0.72 0 With Sample Information $ Without Sample Information. P(F) = 0.75 P(81 | U) = 0.16 d₂ $₁ | F $₂|F S₁ | F $₂|F $₁ | U S₂U S₁U S₂ U S₁ S₁ $3,800 -$500 $2 $4,500 -$1,200 $3,800 -$500 $4,500 -$1,200 S $500 $3,800 $4,500 -$1,200 a) What is the expected value of the optimal decision without sample information? $ Enter an integer or decimal number [more..] b) If sample information is favourable (F), what is the expected value of the optimal decision? c) If sample information is unfavourable (U), what is the expected value of the optimal decision?

The accompanying table describes results from groups of 8 births from 8 different sets of parents. The random variable x represents the number of girls among 8 children. Complete parts (a) through (d) below. E Click the icon to view the table. a. Find the probability of getting exactly 1 girl in 8 births. (Type an integer or a decimal. Do not round.) b. Find the probability of getting 1 or fewer girls in 8 births. (Type an integer or a decimal. Do not round.) c. Which probability is relevant for determining whether 1 is a significan Question Viewer girls in 8 births: the result from part (a) or part (b)? O A. Since getting 0 girls is an even lower number of girls than getting 1 girl, the result from part (b) is the relevant probability. O B. Since the probability of getting 1 girl is the result from part (a), this is the relevant probability. OC. Since the probability of getting more than 1 girl is the complement of the result from part (b), this i the relevant probability. O D. Since…

t Test for TWO DEPENDENT (Related) SAMPLES (Show all work) A manufacturer of a gas additive claims that it improves gas mileage. A random sample of 40 drivers tests this claim by determining their gas mileage for a full tank of gas that contains the additive (X1) and for a full tank of gas that does not contain the additive (X2). The sample mean difference D-Bar equals 2.12 miles (in favor of the additive) and the estimated standard error equals 1.50 miles. Test the Null Hypothesis with t, using the .05 Level of significance and construct a 95 percent confidence interval (whether you reject OR retain the Null Hypothesis)

What type of data are required for Independent Variable (IV) and Dependent variable (DV) in ANOVA? Group of answer choices DV is continuous and IV is categorical DV is categorical and IV is categorical DV is categorical and IV is continuous DV is continuous and IV is continuous Type of data does not matter for ANOVA