A medical team sent surveys to randomly selected households to determine the various health problems. The result of the survey i
2 answers:
Answer:
Step-by-step explanation: First of all, we asume that each household recive a survey to check all health problems. After that we can sume all patients that means 32+54+78+112+96=372.
Now with a simple rule of three:
=30.11%. We have the 30.11% of the patients have eye problems.
=14.52%. We have the 14.52% of the patients have diabetes problems.
Answer: Our required probability would be
Step-by-step explanation:
Since we have given that
Health problems Number of patients
Obesity 32
Diabetes 54
Heart problems 78
Eye problems 112
Dental problems 96
Total 372
We need to find the probability that a person chosen at random is a diabetic patient or an eye patient.
So, P(diabetic patient) + P(eye patient)
Hence, our required probability would be
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Answer:
Step 1: The null and alternative hypothesis for the one way analysis of variance is,
H₀ : There is no difference in the means of each area.
H₁ : At least one mean is different.
The objective of this question is to test whether the income of the three areas are significantly different.
Step 2: The problem states to use 0.05 significance level.
Step 3: The test statistic follows the F-distribution.
Step 4: Decision rule is based on the critical value.
Numerator degrees of freedom is,
K - 1 = 3 - 1
= 2
Denominator degrees of freedom is 2.
n - k = 12 - 3
= 9
Using the F-distribution table for ∝=0.05 with numerator and denominator degrees freedom, the critical value is 4.26. The decision rule is to reject H₀ if the computed value of F exceeds 4.26.
Step 5: Calculations.
Using Excel follow the steps mentioned below.
1. Import or type the data into spreadsheet.
2. Data--------> Data Analysis----------> Anova: Single Factor, click OK.
3. Select Input Range, make a tick mark on Labels in the first row, enter 0.05 for alfa.
4. Click OK.
The obtained output for the one-way ANOVA is,
[ find the figure in attachment]
From the obtained output, the computed test statistic value, F = 14.18 , which is greater than the critical value of 4.26. So, reject H₀
Step 6: Interpretation. The average income of each area is different. It can be concluded that the average income is significantly different .
First, we are going to find the painted area of his house. We know that the total area he needs to paint is 4000 square meters, so 4000 is the area of this house. Now, to find the 62.5% of that area, we are going to multiply it by 
:
Painted area=
Now, to find <span>rate, in square feet per hour, we are going to divide the painted area by the number of hours:
Rate=</span>
We can conclude that Kyler paints at a rate of 434.78 square feet per hour.
Painted area=
Now, to find <span>rate, in square feet per hour, we are going to divide the painted area by the number of hours:
Rate=</span>
We can conclude that Kyler paints at a rate of 434.78 square feet per hour.