Dartmouth Distribution Warehouse makes deliveries of a large
number of products to its customers. It is known that 81% of all
the orders it receives from its customers are delivered on time.
Let p^ be the proportion of orders in a random sample of 100 that
are delivered on time. Find the probability that the value of p^
will be between 0.78 and 0.86.
Round your answer to four decimal places.
Solution
Given that,
= [p
( 1 - p ) / n] =
[(0.81 * 0.19) / 100 ] = 0.0392
= P[(0.78 - 0.81) /0.0392 < (
-
) /
< (0.86 - 0.81) / 0.0392]
= P(-0.77 < z < 1.28)
= P(z < 1.28) - P(z < -0.77)
= 0.8997 - 0.2206
= 0.6791
Probability = 0.6791
Dartmouth Distribution Warehouse makes deliveries of a large number of products to its customers. It is...
Dartmouth Distribution Warehouse makes deliveries of a large number of products to its customers. It is known that 76% of all the orders it receives from its customers are delivered on time. Let p^ be the proportion of orders in a random sample of 100 that are delivered on time. Find the probability that the value of p^ will be less than 0.80. Round your answer to four decimal places.
Dartmouth Distribution Warehouse makes deliveries of a large number of products to its customers. It is known that 80% of all the orders it receives from its customers are delivered on time. Let p^ be the proportion of orders in a random sample of 100 that are delivered on time. Find the probability that the value of p^ will be less than 0.84. Round your answer to four decimal places.
Dartmouth Distribution Warehouse makes deliveries of a large number of products to its customers. It is known that 75% of all the orders it receives from its customers are delivered on time. Let p^ be the proportion of orders in a random sample of 100 that are delivered on time. Find the probability that the value of p^ will be less than 0.80. Round your answer to four decimal places.
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