Explain
Null and Alternative Hypotheses
Hypothesis Tests for Differences between Population Means
Hypothesis Test for Equal Population Variances
Hypothesis Tests for Differences between Population
Proportions
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Write a null and alternative hypothesis for single sample that
tests the idea that the population mean is greater than or equals
25. Draw a sampling distribution which indicates the regions of
rejection.
For each of the dependent means t-tests below:
1) State the null and alternative hypotheses
2) Set the criteria for a decision (i.e. state alpha, one- or
two-tailed test, degrees of freedom and the cutoff score(s)
3) Compute: The mean of the difference scores, the sum of
squares, the estimated population variance of difference scores,
the variance of the distribution of means of difference scores and
the standard deviation of the distribution of means of difference
scores (show all work)...
1: Conduct the following hypothesis test. Specify the null and
alternative hypotheses, and clearly state the conclusion of the
test. Use the data from 6.3.3 (?̅ = 31.7, ? = 8.7, ? = 5). Is there
enough evidence to conclude that the mean thymus weight is greater
than 25mg? Set ? = 0.05
2: Suppose we used a two-tailed alternative for the previous
test instead (thymus weight is not equal to 25mg). How would the
p-value of the test change?...
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!
Exercise 1. Given the following null and alternative hypotheses,
conduct a hypothesis test using
an alpha equal to 0.05. (Note: The population standard
deviations are assumed to be known.)
?0: ?1 – ?2 ≤ 0
?a: ?1− ?2> 0
? = 0.05
The sample means for the two populations are shown as
follows:
Sample 1
Sample 2
n1= 40
n2= 50
x1= 144
x2= 129
s1= 11
s2= 16
The null and alternative hypotheses are given. Determine whether
the hypothesis test is left-tailed, right-tailed, or two-tailed and
indicate the parameter(s) being tested.
a.) ?0: ?1 = ?2 ?? ?1: ?1 > ?2
b.) ?0: ? = 8.6 ?? ?1: ? > 8.6
Explain the following:
Concepts of Hypothesis Testing
Hypotheses Test for a population mean
Hypothesis test for a population proportion
Test of normality
Chi-Square Test for Independence
Develop a null and alternative hypothesis for a test of whether
or not there is a statistically significant relationship between
the variables and find the descriptive statistics on the three
relevant variables in the table. Highlight the means, standard
deviations, and observations. (IN EXCEL
PLEASE)
TABLE C9-1: House & Holmes Appraisal Values by
Appraised Home in $000s + Total Homes on Market
Home
House Appraisal
Holmes Appraisal
Total Homes on Market
1
235
228
161
2
210
205
179
3...
Write down the null hypothesis.
Write down the alternative hypothesis.
Explain why you chose your hypotheses as such.
Do a hypothesist test of your data at the α = 2% level of
significance for the population proportion by carrying out the
following five steps:
View an example of how to use StatCrunch to compute the value
Zα
If it is a left-tailed test, what is the critical value,
-z0.02?
If it is a right-tailed test, what is the critical value,...