3E1. An interval estimate is a range of values us to estimate (a) the shape of the population distribution (3) a population parameter of t sampling distribution (y) a sample statistic =>3=>4<=3=>4*=*=*=*=>

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Chapter1: Combinatorial Analysis
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3E1. An interval estimate is a range of values us
to estimate (a) the shape of the population
distribution (3) a population parameter of t
sampling distribution (y) a sample statistic
===========
3E1. In its standardized form, the norma
distribution (8) has a mean of 0 and a standar
deviation of 1. (x) has a mean of 1 and a varian
of 0. (w) has an area equal to 0.5. (8) has a mem
of 1 and a standard deviation of 1.
<<><><><><>E=€9=><><><><><>
3E1. Given that X is a normally distribute
random variable with a mean of μ-50 and
standard deviation of -2, find the probabilit
P(47 < X<58) that X is between 47 and 58.
(a) P(-0.75<2<2.0) (B) P(-1.50<2<4.0)
(5) P(47<Z<54) (x) P(14<Z<16)
CODOO 0000-><><><>
3E1. The probability that a standard norma
random variable Z is between - 9 and 9 denote
by P(-11<2<11) is approximately equal to.
(e)0.00 (11)1.00 (x)0.50 (r)18.00 (9)2.00
========3=>4>==>
Transcribed Image Text:3E1. An interval estimate is a range of values us to estimate (a) the shape of the population distribution (3) a population parameter of t sampling distribution (y) a sample statistic =========== 3E1. In its standardized form, the norma distribution (8) has a mean of 0 and a standar deviation of 1. (x) has a mean of 1 and a varian of 0. (w) has an area equal to 0.5. (8) has a mem of 1 and a standard deviation of 1. <<><><><><>E=€9=><><><><><> 3E1. Given that X is a normally distribute random variable with a mean of μ-50 and standard deviation of -2, find the probabilit P(47 < X<58) that X is between 47 and 58. (a) P(-0.75<2<2.0) (B) P(-1.50<2<4.0) (5) P(47<Z<54) (x) P(14<Z<16) CODOO 0000-><><><> 3E1. The probability that a standard norma random variable Z is between - 9 and 9 denote by P(-11<2<11) is approximately equal to. (e)0.00 (11)1.00 (x)0.50 (r)18.00 (9)2.00 ========3=>4>==>
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