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complete phase 5 inferential statistics. see attachedThis week you will submit Phase 5, the final phase, of your course project. For Phase 5 of your
course project, you will want to review your instructors feedback from your Phase 4 submission and
make any necessary corrections. Remember if you have questions about the feedback to ask your
instructor for assistance.
Below is a summary of the expectations for Phase 5 of the course project:
1. Introduce your scenario and data set.
 Provide a brief overview of the scenario you are given above and the data set
that you will be analyzing.
 Classify the variables in your data set.
 Which variables are quantitative/qualitative?
 Which variables are discrete/continuous?
 Describe the level of measurement for each variable included in your
data set.
2. Discuss the importance of the Measures of Center and the Measures of Variation.
o What are the measures of center and why are they important?
o What are the measures of variation and why are they important?
3. Calculate the measures of center and measures of variation. Interpret your results in context of
the selected topic.
o Mean
o Median
o Mode
o Midrange
o Range
o Variance
o Standard Deviation
4. Discuss the importance of constructing confidence intervals for the population mean.
o What are confidence intervals?
o What is a point estimate?
o What is the best point estimate for the population mean? Explain.
o Why do we need confidence intervals?
5. Based on your selected topic, evaluate the following:
o
o
o
Find the best point estimate of the population mean.
Construct a 95\% confidence interval for the population mean. Assume that your data is
normally distributed and σ is unknown.
 Please show your work for the construction of this confidence interval and be
sure to use the Equation Editor to format your equations.
Write a statement that correctly interprets the confidence interval in context of your
selected topic.
6. Based on your selected topic, evaluate the following:
o Find the best point estimate of the population mean.
o Construct a 99\% confidence interval for the population mean. Assume that your data is
normally distributed and σ is unknown.
 Please show your work for the construction of this confidence interval and be
sure to use the Equation Editor to format your equations.
o Write a statement that correctly interprets the confidence interval in context of your
selected topic.
o
Compare and contrast your findings for the 95\% and 99\% confidence interval.
 Did you notice any changes in your interval estimate? Explain.
 What conclusion(s) can be drawn about your interval estimates when the
confidence level is increased? Explain.
8. Discuss the process for hypothesis testing.
o Discuss the 8 steps of hypothesis testing?
o When performing the 8 steps for hypothesis testing, which method do you prefer; P-Value
method or Critical Value method? Why?
9. Perform the hypothesis test.
o If you selected Option 1:
 Original Claim: The average salary for all jobs in Minnesota is less than
\$65,000.
 Test the claim using α = 0.05 and assume your data is normally distributed and σ
is unknown.
o
If you selected Option 2:
 Original Claim: The average age of all patients admitted to the hospital with
infectious diseases is less than 65 years of age.
 Test the claim using α = 0.05 and assume your data is normally distributed and σ
is unknown.
o
1. Write the null and alternative hypothesis symbolically and identify which
hypothesis is the claim.
2. Is the test two-tailed, left-tailed, or right-tailed? Explain.
3. Which test statistic will you use for your hypothesis test; z-test or t-test? Explain.
4. What is the value of the test-statistic? What is the P-value?
What is the critical value?
5. What is your decision; reject the null or do not reject the null?
a. Explain why you made your decision including the results for your pvalue and the critical value.
6. State the final conclusion in non-technical terms.
10. Conclusion
o Recap your ideas by summarizing the information presented in context of your chosen
scenario.
Please be sure to show all of your work and use the Equation Editor to format your equations.
This assignment should be formatted using APA guidelines and a minimum of 2 pages in
length
Jeffery, to obtain a better grade next week, you need to add/correct
the following:
-phase 1: the age is not a quantitative variable, but the number
assigned to a patient is; the value of the midrange is not accurate (it
is 55.5); try to give an interpretation to your obtained values;
-phase 2: when you apply the formula to find the margin of errors
you make 2 mistakes: the samples standard deviation is 8.92, not
8.3; you need to divide the standard deviation by the square root of
60 according to the formula; also, you used the normal distribution
and took the values from the z-table, but you need to use the Student
t distribution because sigma is unknown; in other words, you must
use the t-table;
Good luck,
Alin Tomoiaga
STATISTICS
1
Statistics
Jeff L Clayborn
Rasmussen College
12/09/2016
STATISTICS
2
Part 1
The hospital has been debating on whether age of a patient influences the rate at which
one acquires infectious diseases. I will be analyzing data on the age of patients who have
contracted infectious diseases.
In the data that is employed in analysis, infectious diseases in the qualitative variable
while the age of the patient is the quantitative variable.
In the used data, the age of patients is discrete such as 60 and 40 years of age with no
decimal places. Similarly, the number of patients is discrete variable in the data set .The data that
is used has no continuous data apart from in the measures of center and variation.
In terms of level of measurement, age and numbers of patients are ordinal while
infectious diseases is nominal.
Part 2
Measures of center is that value which is found the at middle of a given set of data .The
measures of center play a significant role in the society since many people always want to
identify an average of a given set of data .For example, the average number ,speed as well as age.
Most common measures of center used are mean, median and mode.
Measures of variations are the quantities which show the amount of variations in a given
random variable .Variation is the spread between data. Measures of variation are important in
that they indicate that degree in which a given set of data spreads about a specified average value
.The measures of variance include: range, variance, standard deviation as well as sum of squares.
Part 3
STATISTICS
Excel
Part 4
Confidence interval is the given range of values that are defined in that there is a given
probability that proves that values of a parameter is found within them.
Point estimate is a distinct value which is an estimate of population parameter.
The best point estimate of a population mean is the sample mean since it is unbiased.
We need confidence interval in statistics to determine values of an unknown population
parameters that one might be looking for.
Part 5
The best point estimate of a population mean is a sample mean
Using 95 \% confidence level, our confidence interval is
= 61.82 +- (1.96×8.30)
estimate of the population of the patients with infectious diseases.
The 0.99 confidence interval means that α = 0.01, hence Z = 2.576
Confidence interval is
𝑋ֿ ± 𝑍 ∗ б
Sample mean + or – Z x Sample standard deviation
Sample standard deviation = 8.30
= 61.82 +- (2.576 x8.30)
= 61.82- 21.3808< µ < 61.82+ 21.3808 = 40.4392 < µ < 83.2008 The above confidence interval means that if we were to choose other small samples of 60 patients from the population of patients, we are 99\% confident that the population mean of their age will lie between 40 years and 83 years of age. Part C ESTIMATES AND SAMPLE SIZES 4 Using 95 \% confidence level, our confidence interval is = 61.82 +- (1.96x8.30) = 61.82- 16.019< µ < 61.82+ 16.019 = 45.801 < µ Purchase answer to see full attachment

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