A furniture manufacturer purchases a drill press machine enabled with 5G and edge computing capabilities to keep the machine ope
1 answer:
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Answer:
Explanation:
<u>a)</u>
<u>Identify the unknown: </u>
The charge and energy stored if the capacitors are connected in series
<u>List the Knowns: </u>
Capacitance of the first capacitor: = 2цF = 2 x 10-6 F
Capacitance of the second capacitor = 7.4цF = 7.4 x 10-6 F
Voltage of battery: V = 9 V
<u>Set Up the Problem: </u>
Capacitance of a series combination:
+............
Capacitance of a series combination is given by:
Then the charge stored in the series combination is:
Energy stored in the series combination is:
<u>Solve the Problem: </u>
<u>b)</u>
<u>Identify the unknown: </u>
The charge and energy stored if the capacitors are connected in parallel
<u>Set Up the Problem: </u>
Capacitance of a parallel combination:
Capacitance of a parallel combination is given by
Then the charge stored in the parallel combination is
Energy stored in the parallel combination is:
<u>Solve the Problem: </u><em> </em>
Answer:
probability P = 0.32
Explanation:
this is incomplete question
i found complete A manufactures makes integrated circuits that each have a resistance layer with a target thickness of 200 units. A circuit won't work well if this thickness varies too much from the target value. These thickness measurements are approximately normally distributed with a mean of 200 units and a standard deviation of 12 units. A random sample of 17 measurements is selected for a quality inspection. We can assume that the measurements in the sample are independent. What is the probability that the mean thickness in these 16 measurements x is farther than 3 units away from the target value?
solution
we know that Standard error is expess as
Standard error =
Standard error =
Standard error = 3
so here we get Z value for 3 units away are from mean are
mean = -1 and + 1
so here
probability P will be
probability P = P( z < -1 or z > 1)
probability P = 0.1587 + 0.1587
probability P = 0.3174
probability P = 0.32