There are 283 students in Wally’s school and 59 of them are in the sixth grade. What is the approximate percent of students at W
2 answers:
Answer: The answer is approximately 21%.
Step-by-step explanation: Given that in Wally's school, there are total 283 students, out of which 59 students are in the sixth grade. We are to calculate approximately the percentage of students in the sixth grade.
To find the required percentage, we will divide the number of students in the sixth grade to the total number of students and then multiply by 100%.
Therefore, the percentage is
Thus, the required percentage is approximately 21%.
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Answer:
So the p value obtained was a very high value and using the significance level given we have
so we can conclude that we have enough evidence to FAIL reject the null hypothesis, and we can said that at 5% of significance the proportion of people who graduate in 6 years is not significantly higher than 0.65 .
Step-by-step explanation:
Data given and notation
n=100 represent the random sample taken
X=70 represent the number of people who graduate in 6 years
estimated proportion of people who graduate in 6 years
is the value that we want to test
represent the significance level
Confidence=90% or 0.90
z would represent the statistic (variable of interest)
represent the p value (variable of interest)
Concepts and formulas to use
We need to conduct a hypothesis in order to test the claim that true proportion is higher than 0.65:
Null hypothesis:
Alternative hypothesis:
When we conduct a proportion test we need to use the z statistic, and the is given by:
(1)
The One-Sample Proportion Test is used to assess whether a population proportion is significantly different from a hypothesized value
.
Calculate the statistic
Since we have all the info requires we can replace in formula (1) like this:
Statistical decision
It's important to refresh the p value method or p value approach . "This method is about determining "likely" or "unlikely" by determining the probability assuming the null hypothesis were true of observing a more extreme test statistic in the direction of the alternative hypothesis than the one observed". Or in other words is just a method to have an statistical decision to fail to reject or reject the null hypothesis.
The significance level provided . The next step would be calculate the p value for this test.
Since is a bilateral test the p value would be:
So the p value obtained was a very high value and using the significance level given we have
so we can conclude that we have enough evidence to FAIL reject the null hypothesis, and we can said that at 5% of significance the proportion of people who graduate in 6 years is not significantly higher than 0.65 .