Question
In: Statistics and Probability
Think about two population means that you may be interested in and propose a hypothesis test problem for this parameter.
write a hypothesis test problem. Post your problem with a solution.
Think about two population means that you may be interested in and propose a hypothesis test problem for this parameter. For example, you may believe that the average family size in Illinois is greater than the average family size in Wisconsin. Your data could be that you spoke with 20 people (10 in Illinois and 10 in Wisconsin) and found the following family sizes: 5, 6, 5, 2, 3, 4, 3, 2, 4, 2 in Illinois and 4, 4, 5, 6, 2, 2, 2, 3, 4, 3 in Wisconsin. Assume a random sample.
Solutions
orchestra answered 2 years agoRelated Solutions
Think about a population proportion that you may be interested in and propose a hypothesis test...
Think about a population proportion that you may be interested
in and propose a hypothesis test problem for this parameter. Gather
appropriate data and post your problem. Include the null and
alternative hypothesis, alpha value, p-value, and a conclusion.
Make sure that you use appropriate terminology, specify whether you
are using the classical method or the p-value method, and fully
explain your solution.
I went to a local dog park and counted the number of dogs
entering the park around...
Think about a population mean that you may be interested in and propose a hypothesis test...
Think about a population mean that you may be interested in and
propose a hypothesis test problem for this parameter. Gather
appropriate data and post your problem, Later, respond to your own
post with your own solution. On a TI-83
My problem is:
I asked 10 teenagers how many times this monthnhave thely used a
land line phone.
My results are as following: 2,0,1,1,0,0,3,0,1,0
I'd like to propose that the population mean for the amount of
times that a teenager...
Think about a population mean that you may be interested in and propose a hypothesis test...
Think about a population mean that you may be interested in and
propose a hypothesis test problem for this parameter. Gather
appropriate data and post your problem, Also, post your own
solution at the end.
For example, you may believe that the population mean number of
times that adults go out for dinner each week is less than 1.5.
Your data could be that you spoke with 7 people and found that they
went out 2, 0, 1, 5, 0,...
Propose either a confidence interval or a hypothesis test question that compares these two means. For...
Propose either a confidence interval or a hypothesis test
question that compares these two means.
For example, you may want to know if the average weight of a
rippled potato chip is the same as the average weight of a
non-rippled potato chip. You may weigh rippled regular potato chips
from a large bag and find weights of 1.7, 1.9, 2.4, 1.3, 1.7, and
2.0 grams. You may weigh non-rippled potato chips from another
large bag and find weights of...
A hypothesis will test that two population means are equal. A sample of 10 with a...
A hypothesis will test that two population means are equal. A
sample of 10 with a standard deviation of 3 is selected from the
first population and a sample of 15 with a standard deviation of 8
from the second population. The standard deviations are not equal.
Testing the claim at the 0.01 level, what is the critical value?
Assume unequal standard deviations.
Please explain and show your work.
Thank you!
Whether we are conducting a hypothesis test with regards to a one population parameter or two...
Whether we are conducting a hypothesis test with regards to a
one population parameter or two population parameters (usually the
difference between two population parameters), the concept of
p-value is extremely important in making
a decision with respect to the null hypothesis. A very common
mistake in elementary statistics is
interpreting the
p-value of a hypothesis test. Many
students think that the p-value is the probability that
the null hypothesis is true or that it is the probability of
rejecting...
Whether we are conducting a hypothesis test with regards to a one population parameter or two...
Whether we are conducting a hypothesis test with regards to a
one population parameter or two population parameters (usually the
difference between two population parameters), the concept of
p-value is extremely important in making a decision with respect to
the null hypothesis. A very common mistake in elementary statistics
is interpreting the p-value of a hypothesis test. Many students
think that the p-value is the probability that the null hypothesis
is true or that it is the probability of rejecting...
Suppose we are interested in testing null hypothesis that difference of two population means is the...
Suppose we are interested in testing null hypothesis that
difference of two population means is the same. Consider two
samples collected from a normal population.
x
4.2
4.5
4.9
5.6
5.7
5.9
6.1
6.3
6.8
7.1
7.3
7.8
8.4
8.6
9.1
9.7
10.2
y
5.6
5.9
6.5
7.8
8.5
9.3
We need to testH0:x=yvsHa:x̸=yWe can use R-command t.test to
compute the p-value and the confidence interval.> x = c ( 4.2
,4.5,4.9,5.6,5.7 ,5.9, 6.1, 6.3 , 6.8 , 7.1 ,...
write a hypothesis test problem. Post your problem with a solution. Option 1. Think about two...
write a hypothesis test problem. Post your problem with
a solution.
Option 1.
Think about two population means that you may be interested in
and propose a hypothesis test problem for this parameter. For
example, you may believe that the average family size in Illinois
is greater than the average family size in Wisconsin. Your data
could be that you spoke with 20 people (10 in Illinois and 10 in
Wisconsin) and found the following family sizes: 5, 6, 5,...
In a question involving a hypothesis test having the population mean as the target parameter, you...
In a question involving a hypothesis test having the population
mean as the target parameter, you are given the sample size, n, the
assumed population mean, the significance of the test, alpha,
whether it is a right-tailed, left-tailed, or two-tailed test, and
the result of the test (reject or do not reject the null
hypothesis.)
Show how you can use this information to find bounds on the
sample itself. You may put in simple values for the information
given if...
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