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Intervals and Chi Square (Chs 11 – 12)
| Let’s look at some other factors that might
use right click on row numbers to insert rows to perform analysis below any
question 3 below, be sure to list the null and alternate hypothesis
statements. Use .05 for your
significance level in making your decisions.
full credit, you need to also show the statistical outcomes – either the
Excel test result or the calculations you performed.
|1||One question we might
have is if the distribution of
graduate and undergraduate degrees independent of the grade the
|(Note: this is the same
as asking if the degrees are distributed the same way.)
|Based on the analysis of
our sample data (shown below), what is your answer?
|Ho: The populaton
correlation between grade and degree is 0.
|Ha: The population
correlation between grade and degree is > 0
|COUNT – M or 0||7||5||3||2||5||3||25|
|COUNT – F or 1||8||2||2||3||7||3||25|
cell with show how the value
|7.5||3.5||2.5||2.5||6||3||25||is found: row total times
column total divided by
|By using either the
Excel Chi Square functions or calculating the results directly as the text
shows, do we
|reject or not reject the
null hypothesis? What does your
|2||Using our sample data,
we can construct a 95% confidence interval for the population’s mean salary
for each gender.
results. How do they compare with the
findings in the week 2 one sample t-test outcomes (Question 1)?
|52||3.65878||44.4483||59.5517||Results are mean
|Females||38||3.62275||30.5226||45.4774||2.064 is t value for 95%
error is the sample standard deviation divided by the square root of the
|3||Based on our sample
data, can we conclude that males and females are distributed across grades in
a similar pattern within the population?
|4||Using our sample data,
construct a 95% confidence interval for the population’s mean service
difference for each gender.
|Do they intersect or
overlap? How do these results compare
to the findings in week 2, question 2?
|5||How do you interpret
these results in light of our question about equal pay for equal work?