What is 0.69¯¯¯¯ expressed as a fraction in simplest form? Enter your answer in the box
2 answers:
Answer:
The answer is 23/33 Brainliest if you can
Step-by-step explanation: I did the test and 69/100 was wrong
Answer:
x= .
Step-by-step explanation:
Given : What is 0.69¯¯¯¯.
To find: expressed as a fraction in simplest form.
Solution : We have given that 0.69¯¯¯¯.
We can write it as 0.696969........
Solve by recurring decimal
Let x = 0.69
On multiplying both sides by 100
100x = 69.6969......
100x = 69 + 0.69
Plug x= 0.69
100x = 69 + x
On subtracting x from both sides
100x -x = 69
99 x = 69
On dividing both sides by 99
x = .
x = .
Therefore , x= .
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Answer:
a) 0.057
b) 0.5234
c) 0.4766
Step-by-step explanation:
a)
To find the p-value if the sample average is 185, we first compute the z-score associated to this value, we use the formula
where
N = size of the sample.
So,
As the sample suggests that the real mean could be greater than the established in the null hypothesis, then we are interested in the area under the normal curve to the right of 1.5811 and this would be your p-value.
We compute the area of the normal curve for values to the right of 1.5811 either with a table or with a computer and find that this area is equal to 0.0569 = 0.057 rounded to 3 decimals.
So the p-value is
b)
Since the z-score associated to an α value of 0.05 is 1.64 and the z-score of the alternative hypothesis is 1.5811 which is less than 1.64 (z critical), we cannot reject the null, so we are making a Type II error since 175 is not the true mean.
We can compute the probability of such an error following the next steps:
<u>Step 1 </u>
Compute
So <em>we would make a Type II error if our sample mean is less than 185.3721</em>.
<u>Step 2</u>
Compute the probability that your sample mean is less than 185.3711
So, <em>the probability of making a Type II error is 0.5234 = 52.34% </em>
c)
<em>The power of a hypothesis test is 1 minus the probability of a Type II error</em>. So, the power of the test is
1 - 0.5234 = 0.4766