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juin [17]
3 years ago
9

State the appropriate null and alternate hypothesis

Mathematics
1 answer:
Nezavi [6.7K]3 years ago
4 0
The null hypothesis states that a population parameter is equal to a hypothesized value. the alternative hypothesis states that a population parameter is smaller, greater, or different than the hypothesized value in the null hypothesis
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Enna has 10 3/4 yards of fabric. She uses 6 2/3 yards to make a banner.
Artemon [7]

Answer:

4 1/12

Step-by-step explanation:

8 0
2 years ago
Read 2 more answers
THE PROBABILITY OF A FOOTBALL TEAM WINNING A MATCH IS 0.3 THE PROBABILTITY OF THE SAME FOOTBALL TEAM LOSING IS 0.55 WHAT IS THE
Sav [38]

Answer:

P(Win) = 0.30

Step-by-step explanation:

Given

P(Win) = 0.30

P(Lose) = 0.55

Required

P(Win)

This is already stated in the question as:

P(Win) = 0.30

5 0
3 years ago
Equations and inequalities
DerKrebs [107]
Inequalities and equations use similar steps to solve, but inequalities give a range of numbers that can represent the variable while an equation will give a direct answer.

Example:

4+5x=24

First you would subtract 4 or add the opposite of 4 from 24.

4+5x=24
+(-4) +(-4)
—————
5x=20

Then divide each side by 5 or multiply each side by the reciprocal of 5 to isolate the variable.

1/5*5x=20*1/5 (reciprocal)
X= 4

You would use the same steps in an inequality but end up with a different sign.
8 0
3 years ago
Read 2 more answers
Given a set of data with the Regression Line: y = 3.5x + 18.5
Tomtit [17]

Answer:

1.5

Step-by-step explanation:

y=3.5*100+18.5=368.5\\rv=370-368.5=1.5

4 0
3 years ago
The Law of Large Numbers states that as the number of trials of an experiment increases, the experimental probability of an even
Lena [83]

The law of large number states that , if number of trials increases in an experiment , in a fair trial where each outcome has same chance of occurring or having equal probabilities,when total number of trials  goes higher and higher the probabilities of each single outcome becomes approximately equal.→→In case of Experimental Probability

The Coin Possessed by Jake is a Magic coin.

Now Outcomes received by jake when he tosses the coin certain number of times.He flipped it 100 times, and found that it came up heads 64% of the time. He flipped it another 500 times, and it came up heads 57% of the time. He then flipped it 1000 times, and it came up heads 58% of the time. Then, he flipped it 1500 times, and it came up heads 62% of the time.

Based on the information provided , it appears that coin is not fair . It is  Unbiased.So , if we apply law of large numbers here after number of trials will go higher and higher , the chances of coming head will be more than tail i.e theoretical probability of the magic coin coming up heads is> 50%.

To test my hypothesis i have used the information provided by Jake, which shows that coin is not fair. The probability of head has more than tail i.e by 14%, 7%,8% and 12%.


8 0
3 years ago
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