Answer:
Step-by-step explanation:
you have to make a box like this:
║ ---------- ║------------ ║ label one side percent and the other amount
║ x% ║ 96 kg ║
║ _ _ _║_____ _║ Now if the patient originally weighed 102 kg which
║100% ║ 120 kg ║ is 100% place the numbers in the bottom box.
║ _ _ _ ║ _ _ _ ║ and if the patient currently weighs 96 kg then let
Percent Amount percentage of the weight lost be x. Now cross multiply. You should get 100*96=120*x. Simplify that to get 9600=120x, now divide by 120 on both sides and you get 80 so x= 80. But the problem isn't done yet. Now you have to subtract 80% from 100% to find the weight lost, because 80% is the percentage of the current weight. after you have subtracted you get 20
20% of the original weight was lost.
Answer:
$5.01
Step-by-step explanation:
If you use this give me brainliest
Y = 5
x = 4
Multiply both variables by 8/5
y = 8
x = 32/5
Your answer is 32/5
Let k be a constant
y = kx
Plug (20, 4) into the equation
4 = 20k
Divide both sides by 20
k = 1/5
Your equation is
y = (1/5)x
Have an awesome day! :)
Answer:
Step-by-step explanation:
Hello!
The variable of study is
X: number of complaints per industry (Categorized: Bank, Cable, Car, Cell, Collection
Considering this is a categorical variable, and the hypothesis is that all categories have the same probability, you have to apply a Chi-Square Goodness to Fit test.
Observed frequencies per category
1) Bank: 26
2) Cable: 44
3) Car: 42
4) Cell: 60
5) Collection: 28
Total= 200
Statistical hypotheses:
H₀: P₁=P₂=P₃=P₄=P₅=1/5
H₁: At least one of the proposed proportions is different.
α: 0.01

For this test the formula for the expected frequencies is:

So the expected values for each category is:






This test is one tailed and so is its p-value, under a Chi-square with 4 degrees of freedom p-value: 0.021484.
The p-value is less than the significance level so the decision is to reject the null hypothesis.
c. The industry with most complaints is the cellular phone providers
I hope this helps!