Answer:
(1)0.39
(2)0.14
(3)0.21
(4)0.26
Step-by-step explanation:
John makes 35% of his free throw shots.
- The probability that John makes his shot =0.35
- The probability that John misses his shot =1-0.35=0.65
Sue makes 40% of her free throw shots.
- The probability that Sue makes her shot =0.4
- The probability that Sue misses her shot =1-0.4=0.6
(1)John and sue both miss their shots
P(John and sue both miss their shots)
=P(John miss his shot) X P(Sue misses her shot)
=0.65 X 0.6 =0.39
(2)John and Sue both make their shots
P(John and Sue both make their shots)
=P(John makes his shot) X P(Sue makes her shot)
=0.35 X 0.4=0.14
(3)John makes his shot and Sue misses hers
P(John makes his shot and Sue misses hers)
=P(John makes his shot) X P(Sue misses her shot)
=0.35 X 0.6=0.21
(4)John misses his shot and Sue makes hers
P(John misses his shot and Sue makes hers)
=P(John miss his shot) X P(Sue makes her shot)
=0.65 X 0.4 =0.26
Answer:
faster and smarter Homes its b
Step-by-step explanation:
I did this one
<u>To consider whether this statement is true or not</u>
⇒ must determine the <u>number of milliliters in a liter</u>
⇒ <u>1 Liter = 1000 milliliter</u>
<u />
<u>To compare both containers, lets set both containers in terms of milliliters</u>
- Container 1 --> 2 Liter Capacity --> 2000 milliliter
- Container 2 --> 3000 milliliter
<u>By looking at the data</u>
⇒ the 3000-milliliter container holds more than the2-liter container
<u>Thus, the statement</u>: A 2-liter container holds more than a 3,000-milliliter container
⇒ <u>False</u>
<u></u>
<u>Answer: False</u>
<u></u>
Hope that helps!
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