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Complete Question
Recall the hurricane relief fund context from the previous investigation. Bob set up a hurricane relief donation fund and started it off by donating $ 35 . Instead of tripling in value each day, suppose it doubled in value each day
Complete the following table showing the account values at the end of each day.
Number of days since the initial investment, n Amount (in dollars) in the relief account, A
0 1 2 3 4
Answer:
Number of days(n) = Amount (in dollars) in the relief account(A)
0 = $35
1 = $70
2 = $140
3 = $280
4 = $560
Step-by-step explanation:
The formula for doubling time
P(t) = Po(2)^t/k
Where P = Amount after time t
Po = Initial Amount
t = number of days
k = Frequency at which it doubles
For 0 days
t = 0, k = 1, P(o) = $35
P(t) = Po(2)^t/k
P(0) = $35(2)^0/1
= $35(2)⁰
= $35 × 1
= $35
For 1 day
t = 1, k = 1 , P(0) = $35
P(t) = Po(2)^t/k
P(0) = $35(2)^1/1
= $35(2)¹
= $35 × 2
= $70
For 2 days
P(t) = Po(2)^t/k
t = 2, k = 1, P(0) = $35
P(0) = $35(2)^2/1
= $35(2)²
= $35 × 4
= $140
For 3 days
P(t) = Po(2)^t/k
t = 3, k = 1
P(0) = $35(2)^3/1
= $35(2)³
= $35 × 8
= $280
For 4 days
P(t) = Po(2)^t/k
t = 3, k = 1, P(0) = $35
P(0) = $35(2)^5/1
= $35(2)⁴
= $35 × 16
= $560
Answer:
Correct statement: (a) and (b).
Step-by-step explanation:
R-squared is a statistical quantity that measures, just how near the values are to the fitted regression line. It is also known as the coefficient of determination.
The coefficient of determination is the squared value of the correlation coefficient.
That is,

The correlation coefficient between two variables is the measure of the strength and direction of the relationship between two variables.
Its values ranges from -1.00 to +1.00.
Although <em>r</em> can be negative but R² is always positive, since square of a negative number is also positive.
So the correct statements are:
a. cannot be negative
b. is the square root of the coefficient of correlation
Answer:
Kindly check explanation
Step-by-step explanation:
The alpha level set at the beginning of of an experiment is used by the researcher to the limit the probability if making a type 1 error. The type 1 error is committed when a true null hypothesis is incorrectly rejected.
The type 2 error on the other hand is committed when fail to reject a false null hypothesis.
Hence, in other to forestall the risk of incorrectly rejecting a true null hypothesis, the alpha level is set.
When critical region is split across both tails of the distribution, The z-score boundaries at an alpha level α = .05
α = .05 (95% confidence level)
When region is split into 2:
α/2 = .05/2
α/2 = 0.025
Loooking up the z table for the Zscore with probability of 0.025
Zscore = ±1.96
The answer would be 1,220,000mm.
You can do this if you convert all the measures into one unit. Let us convert all into km.
The first one is already in km, so we do not need to covert it.
Let's start with converting 1,220,000mm to km.
There are 1, 000,000 mm in one km.

So there are 1.22km in 1,220,000mm.
Next, we have 120m. There are 1,000m in 1km.

There are 0.12km in 120m
Now you can see that 1,220,000mm is the longest.