Category: Statistics

Use minitab to answer the question use  2 difrenet hypothesis for example 1 Hypothesis Test (Means),Chi-Square Distribution) and  3 different hypothesis test for example 2 (Hypothesis Test (Means),Chi-Square Distribution,F-Distribution)
in the PowerPoint and screenshot the results into a word document and describe the result. 

On the spreadsheets the tan boxes need formulas to fill them in and I need excel charts made for the data on each spreadsheet. 

please see pictures for the questions and the format on how to do this assignment . Below each question explain why you now realize how you got the answer incorrect. Every question on the exam has an explanation on how it should be answered on the final exam discussion board or one of my exam keys provided with most homework assignments. Here is an example of how you need to format this homework
I got the question above wrong. I found the answer by looking at the linear regression exam key. Here is what I found. “First, figure out what the IDVs are or is. Remember IDVs cause changes in the DV. A variable or variables that “predict” another variable would most likely be the IDV or IDVs. Something that is being predicted would be classified as the DV. Now we need to figure out the level of measurement for the IDV/s and DV. Whenever you see the word scale, your variable or variables are quantitative. Whenever you see on “on a scale from 1 to 10” the variable is quantitative. In this example, you have several quantitative IDVs predicting one quantitative DV. The linear regression is the only analysis we learned about that fits this description.”
The two IDVs found on the exam question are described as being measured on a 10 point scale. The professor stated that these variables were to be considered quantitative. Two quantitative variables predicting a quantitative variable means that this analysis should be a linear regression. The second question I got wrong on the exam is below. I found the correct answer for this question by reviewing the final exam discussion board post on Factorial ANOVA. I copied the below from the final exam discussion board. “-A researcher is interested in knowing if type of diet plan and exercise level by group has an impact on weight loss percent. What type of analysis is should the researcher perform.
Twoway ANOVA. I know this because diet plan and exercise level are implied to have an impact on weight loss. The text in bold helps me determine that these are categorical variables.
–A researcher is interested in knowing if type of diet plan (fast, keto, or pesco) and exercise level (intense or low impact) has an impact on weight loss percent. What type of analysis is should the researcher perform?
3 * 2 ANOVA. I know this because the number of groups for each IDV is provided in the word problem!”
I was instructed to give the best answer. The example is almost identical to the exam question. I should have answered 2*3 ANOVA. ++++
You should get the idea. Follow my example for each question you got wrong find the correct answer by looking at the exam discussion board or exam keys provided with the homework. Copy and paste the portion of the final exam discussion board or exam key that helped you find the answer. There will be a link on Canvas to submit your extra credit. You will have to until December 16th to complete your extra credit and increase your final course grade!

Discussion Question (1 paragraph)
Discuss the importance of statistics in the business world. Give examples from a job you have held where statistics might have been useful. Give a detailed descriiption. Please be clear and specific with your examples.
Answer Questions 1 – 6 (attachment)
Use Textbook (chapters 1 – 4)

Based on asthma. Students will be required to submit an original written report using data from the California Health Interview Survey (CHIS) or other reputable sources.  All references must be cited (APA format) and must be original work – papers submitted to previous classes are not acceptable. This report can be between 8-10 pages must utilize original data generated from the CHIS database. Furthermore, a minimum of 7 references must be used from referred journals. The report must include the following components:  
1. Background of the Problem: Define the extent of the problem (i.e., prevalence, incidence) and critical issues (literature review). Referred journal articles and research literature must be used (No Wikipedia, WebMD, textbook, etc. will be accepted for references.  
2. Data Analysis: Using a database, (e.g., the California Health Interview Survey database), students will be required to demonstrate application of epidemiological methods to the breadth of settings and situations in public health practice using various evidence-based approaches, Each student will conduct an original data analysis using the person, place, time and relevant demographic and socio-economic survey variables for hypothesis testing. Students must include a chart or table describing the variables and the results of data analysis generated from the database.
3. Discussion and Conclusions – Explanation of the results and how the findings are related to the literature review. In addition, potential implications (policy and research) of the results
Guidelines for the Paper
[A minimum of 7 references must be used from referred journals. No Wikipedia, WebMD, textbook, etc. will be accepted for references.]
Suggested Paper Length: 8-10 pages including tables/graphs/charts
APA style, Times Roman, Font 12, 1.5 line spacing
Introduction/Background
Problem Statement:
What health-related problem/issue/topic are you interested in researching? What are the incidence and prevalence rates? How widespread is the problem? Why is it important to study this issue? 
Purpose of the Study: 
Why are you conducting the study? What are you trying to show or prove – correlation between an exposure and outcome? Difference in health outcome between two groups? Example: To show an association between smoking and lung disease.
Research Questions or Hypothesis
What is your research question? This is slightly different from the Purpose of the Study. While the purpose of the study can be a bit broad, these will need to be very specific.
For example: Do people who smoke more than 20 cigarettes a day are more likely to get lung disease compared to those who smoke less than that?
Theoretical or Conceptual Framework and Literature Review
In this section, you should explain the plausible relationships between the dependent and independent variables.
The theoretical/conceptual framework is a description about how variables of research interact with one another. The basic features of theoretical frameworks include
1. The variables considered relevant to the study should be clearly identified and labeled in the discussions.
2. The discussions should state how two or more variables are related to each other. This should be done for the important relationships that are to exist among the variables.
3. If the nature and direction of the relationships can be theorized on the basis of the findings from previous research, then there should be an indication in the discussions as to whether the relationships would be positive or negative.
4. There should be a clear explanation of why we would expect these relationships to exist. The arguments need to be drawn from the previous research findings. 
5. A schematic diagram of the theoretical framework may be given so that the reader can visualize the theorized relationships.
Research Method and Design
Data
Describe the source of data (whether it is primary or secondary). Describe how the data was collected.
Analysis technique
Explain which statistical method(s) were used and why it was used. For example, regressions, ANOVA, Chi-square, T-Tests, etc.
Variables
Describe the variables – both dependent and independent – used in the study. 
Results
Describe the results used in the study. Present a descriptive table that shows the descriptive statistics of the variables used. Another table should show the analysis (regressions, ANOVA, Chi-square, T-Tests, Odds ratios, relative risks, etc.). You must describe the findings of your analysis shown in the tables.
Discussion​
In this section, you will explain the plausible explanations of your findings from the results section. Did the statistical analysis find a statistically significant relationship? If so, what is it and what is the most plausible explanation(s) of that relationship? Contrast your findings with those from the literature review. Are they similar or are they different? If they are different, why do you think that is the case? 
Implications and Future Recommendation
What are the implications of your findings? Do you suggest new policies? For example, if your study finds that people who smoke are more likely to get lung disease, you may suggest that government can institute policies that discourage smoking, 
Limitation 
Describe the limitations of the study. For example, whether the survey conducted in the winter or not. Was it a telephone interview? Was it an online survey? Etc.

The cover page counts as a page already. Please follow the case study guidelines and final report guidelines carefully. Use the sample report as a reference when creating the report and statistics table

I AM IN DESPERATE NEED PLEASE HELP, willing to negotiate. look am at attached files for instructions.

Complete problem sets that apply principles and procedures related to sampling, testing hypotheses, effect size and power, one-sample t tests, and independent-groups t tests.
(There may be problems Sets you won’t be able to complete without the datasets that are generated in the JASP software. I have provided the links below to download the datasets. If the link does not work simply omit those problems.)
https://courseroom.capella.edu/courses/14773/files/2216862/download?wrap=1
https://courseroom.capella.edu/courses/14773/files/2216860/download?download_frd=1

This project will cover topics from Chapter 1 up through Chapter 8 of your textbook. All
papers will need to be submitted on Ivy Learn. You will be turning in a paper that should
include section headings, drawing/graphics and tables when appropriate and complete
sentences which explain all analysis that was done in addition to all conclusions and results.
All work should be your own. Plagiarism will result in a project score of 0.
You will be performing an analysis on Iris setosa (wildflower) and their petal lengths. You
will need to know that research has shown that the petal length of Iris setosa is
approximately normal and has a mean of 𝜇 = 1.5 𝑐𝑚 and a standard deviation of 𝜎 = 0.2 𝑐𝑚
.
The following sample was collected by Dr. Edgar Anderson, who studied these flowers
extensively.
Here is the sample data collected from the Gaspe Peninsula, Quebec: (I have also included a
file with this information in the project folder for use in uploading to Cengage SALT or
Excel)
Petal Length in Centimeters for Iris Setosa
1.4 1.4 1.3 1.5 1.4
1.7 1.4 1.5 1.4 1.5
1.5 1.6 1.4 1.1 1.2
1.5 1.3 1.4 1.7 1.5
1.7 1.5 1.0 1.7 1.9
1.6 1.6 1.5 1.4 1.6
1.6 1.5 1.5 1.4 1.5
1.2 1.3 1.4 1.3 1.5
1.3 1.3 1.3 1.6 1.9
1.4 1.6 1.4 1.5 1.4
Project Guidelines:
1. Descriptive Statistics/Graphs:
a. Calculate some descriptive statistics for variable, x, the petal length of Iris
setosa from the Gaspe Peninsula. These should include (but not limited to)
the mean, median and standard deviation. Organize these values neatly in a
table with labels and then write a paragraph describing your statistics.
Round any decimals to two decimal places. (You can use SALT to come up
with the descriptive statistics)
b. Create a histogram of the variable, x, the petal length of Iris setosa. Use the
histogram to identify the shape of the distribution. (This can easily be
accomplished by uploading the data into Cengage SALT and setting the
bin/class width for 0.1 and adjusting the starting point to an appropriate
value). Include the histogram image in your paper as long as your discussion
on the shape of the distribution.
2. Normal Distribution application:
a. A friend of yours spotted some of the Iris setosa flowers while on a nature
hike and measured petal lengths from three of the flowers. The
measurements that they calculated were 1.8 cm (Flower A), 1.4 cm (Flower
B), and 0.7 cm (Flower C). Calculate z-scores for each of the reported flower
petal measurements (using population mean and standard deviation stated
in project intro) and provide interpretations for the z-scores (after looking
up probabilities on the table). Include your formulas in your paper. You also
need to include interpretations that indicate how “rare” your observations
are in the body of your paper. (Format: Flower A with a petal length of ______
had a corresponding z-score of _____. This means that _______% of Iris setosa
petal lengths are longer/shorter than it’s petal length. This value is/is not a
rare observation because _________.)
3. Confidence Interval applications:
a. Using the sample data of 50 petal lengths from the Gaspe Peninsula,
compute a 99% confidence interval for the population mean petal length of
all Iris setosas. Interpret the confidence interval in words. Round interval
values to two decimal places. Write a summary of how you calculated this
including the formula.
b. How many more Iris setosas petal lengths would we need to include in our
sample if we want to be 99% confident that the sample mean is within a
maximal margin of error of 0.04 cm of the population mean petal length?
Write a summary of how you calculated this including the formula.
4. Hypothesis Testing applications:
a. A botanist in Alaska is concerned that climate change is affecting the growth
of Iris wildflowers in Alaska. He collected a sample of 35 Iris setosa petal
lengths that had a mean of 𝑥 = 1.56 𝑐𝑚 and standard deviation of s = 0.23
cm. For this test, you may use the fact that previous studies show the
distribution of petal lengths of Iris setosa are approximately normal and that
the population standard deviation is known to be 0.2 cm. Do the data
indicate that the mean petal length of the Iris setosa in Alaska is greater than
1.5 𝑐𝑚? Use 𝛼 = 0.01. You will need to state your null and alternate
hypothesis, describe which distribution we will use and calculate the
appropriate test statistic. Then state the p-value and conclusion for the test.
Interpret your results.
b. Considering the sample of 50 petal lengths from the Gaspe Peninsula (intro)
and the sample of 35 petal lengths from the botanist in Alaska, do the data
indicate that the petal lengths of the Iris Setosa in Alaska are different (either
way) than the petal lengths of the Iris Setosa in the Gaspe Peninsula? Assume
the distribution of petal lengths in both areas is approximately normal. Use a
5% level of significance. (For this part, assume we do not know anything
about the population standard deviations for each specific area and base
your test only on the sample means for each area and the sample standard
deviations – You will have to reference earlier steps in the project for the
sample means and standard deviations.) You will need to state your null and
alternate hypothesis, describe which distribution we will use and calculate
the appropriate test statistics. Then state the critical value and use the
critical region test to reach a conclusion. Interpret your results.
5. Put everything together into an organized paper and submit on IvyLearn.
Graded Item Points
Possible
Points
Earned
Organization/Formatting
Paper is well organized with clear section headings, well organized
information and graphics when appropriate 10
Descriptive Statistics/Graphs
Statistics organized in table with labels/Paragraph written discussing
descriptive statistics 10
Histogram graphic included and description of the shape of the distribution 10
Normal Distribution
Z-scores were calculated for three flowers provided, formulas included.
Appropriate interpretation of z-scores were included 15
Confidence Interval
Calculations for the 99% confidence interval included as well as interpretation 15
Calculations of finding the sample size needed to be within a certain margin of
error 10
Hypothesis Testing
Hypothesis test 1: Included null and alternate hypothesis statements,
discussion of distribution to use, test statistic calculations, p-value and
conclusion and interpretation
15
Hypothesis test 2: Included null and alternate hypothesis statements,
discussion of distribution to use, test statistic calculations, critical value and
conclusion and interpretation
15

I choose to do the correlation between stock prices and inflation rates. Also can you please create whatever charts and tables needed.