Find the missing length
1 answer:
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Answer:
- a> h
- a<164
Step-by-step explanation:
I think your question is missed of key information, allow me to add in and hope it will fit the original one.
<em>Andre notices that he is a little taller than Lin, who described her height as h > and 150 h < 160 but andre is also shorter than their math teacher who is 164 centimeters tall. select the two inequalities that describe andress height</em>
Please have a look at the attached photo.
My answer:
Math teacher's height: 164 cm
Let Andre height is :a
We have Heather height: h
<=> h > and 150 h < 160
<=> 150 < h < 160
=> two inequalities that describe Andres height
- a> h
- a<164
Hope it will find you well
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.