A 2 column table with 5 rows. The first column, x, has the entries, negative 4, negative 3, negative 2, negative 1. The second c
olumn, y, has the entries 11.5, 17.25, 23, 28.75. A 2 column table with 5 rows. The first column, x, has the entries, negative 4, negative 3, negative 2, negative 1. The second column, y, has the entries, negative 5, negative 7.5, negative 10, negative 12.5. The tables represent two linear functions. The equation represented by the first table is given below. y = 5.75x + 34.5 What linear equation is represented by the second table? What is the solution to the system of equations?
3 answers:
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Answer:
If we compare the p value obtained and using the significance level given we have that
so we can conclude that we have enough evidence to reject the null hypothesis, and we can said that at 10% of significance the proportion of tails is significantly less than 0.5.
Step-by-step explanation:
1) Data given and notation
n=110 represent the random sample taken
X=47 represent the number of tails obtained
estimated proportion of tails
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)
2) Concepts and formulas to use
We need to conduct a hypothesis in order to test the claim that the proportion of tails is lower than 0.5:
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
.
3) Calculate the statistic
Since we have all the info requires we can replace in formula (1) like this:
4) 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 left tailed test the p value would be:
If we compare the p value obtained and using the significance level given we have that
so we can conclude that we have enough evidence to reject the null hypothesis, and we can said that at 10% of significance the proportion of tails is significantly less than 0.5.