Joel earns $1,700 per month . If he spends $425 on rent each month, what percent of his income does he spend on rent ?
2 answers:
Answer:
The percentage of his income spend on rent is 25%
Step-by-step explanation:
Given as :
The total earning of Joel per month = $1700
The expenses as rent per month = $425
Let the percentage spend on rent = x% of total earning
Or, $ 425 = x% of $1700
Or, $ 425 × 100 = x × $1700
Or, x =
∴ x = 25
Hence The percentage of his income spend on rent is 25% Answer
You might be interested in
Answer:
Comparing the p value with the significance level given we see that
so we can conclude that we have enough evidence to FAIL to reject the null hypothesis, so then the claim from the retailer makes sense at 1% of significance.
Step-by-step explanation:
Use a significance level of α=0.01 for the test.
Data given and notation
represent the number of defectives from the retailer
represent the number of defectives from the competitor
sample 1 selected
sample 2 selected
represent the proportion estimated for defectives from the retailer
represent the proportion estimated for defectives from the competitor
represent the pooled estimate of p
z would represent the statistic (variable of interest)
represent the value for the test (variable of interest)
significance level given
Concepts and formulas to use
We need to conduct a hypothesis in order to check if the percentage of defective cellular phones found among his products, ( p1), will be no higher than the percentage of defectives found in a competitor's line, ( p2), the system of hypothesis would be:
Null hypothesis:
Alternative hypothesis:
We need to apply a z test to compare proportions, and the statistic is given by:
(1)
Where
z-test: Is used to compare group means. Is one of the most common tests and is used to determine whether the means of two groups are equal to each other.
Calculate the statistic
Replacing in formula (1) the values obtained we got this:
Statistical decision
Since is a right sided test the p value would be:
Comparing the p value with the significance level given we see that
so we can conclude that we have enough evidence to FAIL to reject the null hypothesis, so then the claim from the retailer makes sense at 1% of significance.