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1 answer:
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Answer: 1) 0.10
2) 0.60
3) 0.20
4) 0.10
<u>Step-by-step explanation:</u>
The total frequency is 20+120+40+20 = 200. This means they ran the experiment 200 times. The probability distribution is calculated by the satisfactory number of outcomes (frequency) divided by the total number of experiments/outcomes (total frequency):
Answer:
explanations: we multiply with a rational surd
(x-9)*√(x+9)/(√(x-9)*√(x+9)
=(x-9)√(x+9)/
B.( x-9)/√x+3 =( x-9)*(√x-3)/(√x+3)*(√x-3)
= (x-9)*(√x-3)/x-9
=√x-3
The z or t score to be used is (0.422,0.978)
How to find the critical value ?
Critical probability (p*) = 1 - (Alpha / 2), where Alpha is equal to 1 - (the confidence level / 100), is the unit statisticians use to determine the margin of error within a set of data in statistics.
The critical value for α = 0.13 is
The corresponding confidence interval is computed as shown below
CI = (0.422, 0.978)
0.422< mu1 - mu 2 < 0.978
To learn more about finding the critical value from the given link
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