Answer:
1) Reject null hypothesis if t > 3.143
2) t = 2.008
Step-by-step explanation:
We are given the following in the question:
Sample size, n = 8
Correlation, r = 0.634
Significance level = 0.01
First we design the null and the alternate hypothesis:

This is a one tailed test.
1) Decision rule
Degree of freedom = n - 2 = 6

So if the calculated test statistic is greater than 3.143, we fail to accept the null hypothesis and reject it.
2) Test statistic

The correct answer would be C) because 0.40 is 40% of 1.00.
Answer:
5/7
Step-by-step explanation:
Let the numerator = x
Denominator = x + 2

Cross multiply,
2*x = 1(x +5)
2x = x+5
Subtract 'x' from both sides
2x - x = 5
x = 5
The numerator = x = 5
Denominator = x + 2 = 5+2 = 7

Answer: It's 65.9
Step-by-step explanation:
<h3>decreased by 7.5%</h3>
<h3>means 100% - 7.5% = 92.5%</h3>
<h3>92.5% * x = 61</h3>
<h3>x= 61 / 92.5%</h3>
<h3>x = 65.9459</h3>
<h3>to the nearest tenth :</h3>
<h3>original number is 65.9</h3><h3>Hope this helps have a awesome day/night❤️✨</h3>
Answer:
0.3520
Step-by-step explanation:
We have been given that the pulse rates among healthy adults are normally distributed with a mean of 80 beats/second and a standard deviation of 8 beats/second. We are asked to find the proportion of healthy adults have pulse rates that are more than 83 beats/sec.
First of all, we will find z-score corresponding to sample score of 83 as:
, where,
z = Z-score,
x = Sample score,
= Mean,
= Standard deviation.
Upon substituting our given values in z-score formula, we will get:

Now, we need to find the probability that a z-score is greater than 0.38.
Using formula
, we will get:

Using normal distribution table, we will get:



Therefore, 0.3520 of healthy adults have pulse rates that are more than 83 beats/sec.