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QNT 275 All Participations

**https://issuu.com/uoptutor4/docs/uoptutorial.docx**

**STATISTICS FOR DECISION MAKING**

**The Latest Version A+ Study Guide**

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**QNT 275 All Participations Link**

**https://uopcourses.com/category/qnt-275-participations/**

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**Read **Section 1.1 of *Introductory Statistics.*

**Consider **the following as you read:

- Define the meaning of statistics.
- Explain types of statistics.

**Read** Section 1.2 of *Introductory Statistics.*

**Consider **the following as you read:

- Describe differences between quantitative and qualitative data.
- Explain the meaning of an element, variable, observation and a data set.

**Read** Section 1.3 of *Introductory Statistics.*

**Consider **the following as you read:

- Understand how to organize data.
- Identify levels of measurement.
- Calculate count and percent of variables in your data.

**Read** Section 1.5 of *Introductory Statistics.*

**Consider **the following as you read:

- What is the difference between a population and sample?

**Read **Section 3.1 of *Introductory Statistics.*

**Consider **the following as you read:

- Describe a typical value.
- Calculate and understand the mean.

**Read **Section 3.2 of *Introductory Statistics.*** **

**Consider **the following as you read:

- Explain variation among the values of observations.

**Read **Section 3.4 of *Introductory Statistics.*

**Consider **the following as you read:

- Discuss Chebyshev’s theorem as a use of the standard deviation.
- Discuss the empirical rule as a use of the standard deviation.

**Read **Section 3.5 of *Introductory Statistics.*

**Consider **the following as you read:

- Understand the measures of a quartile.
- Define the kth percentile.

**Read **Section 3.6 of *Introductory Statistics.*

**Consider **the following as you read:

- Explain measures used to construct a box-and-whisker plot.

**Read** Section 4.1 of *Introductory Statistics.*

**Consider **the following as you read:

- Understand the difference between discrete and continuous variables

**Read** Section 4.2 of *Introductory Statistics.*

**Consider **the following as you read:

- What is the minimum and maximum range for a probability outcome?
- The sum of all probabilities equals 1.

**Read** Section 4.3 of *Introductory Statistics.*** **

**Consider **the following as you read:

- Understand a mutually exclusive event.
- Identifyindependent and dependent events.

**Read** Section 5.1 of *Introductory Statistics.*

**Consider **the following as you read:

- What characteristics are important to process when considering a random sample?

**Read** Section 5.2 of *Introductory Statistics.*** **

**Consider **the following as you read:

- Describe how probabilities are distributed over all possible values of x.

**Read** Section 5.3 of *Introductory Statistics.*

**Consider **the following as you read:

- How to interpret results for a discrete random variable.

**Read** Section 5.4 of *Introductory Statistics.*

**Consider **the following as you read:

- Understand what type of random variable is needed for a binomial distribution.

**Watch **the instructional video by clicking on the Lynda.com® link.

**Type** the title “Statistics Foundations: 2” in the Search Bar to find the video.** **

**Watch** the following tutorials from Section 2:

- Random Samples

**Consider** the following as you watch:

- What characteristics are important to process when considering a random sample?

**Discuss** your perceptions in class/online forum.

**Watch **the instructional video by clicking on the Lynda.com® link.

**Type** the title “Statistics Foundations: 2” in the Search Bar to find the video.** **

**Watch** the following tutorials from Section 2:

- Alternative to Random Samples

**Consider** the following as you watch:

- How can you reduce sample bias?
- How would you select groups?

**Discuss** your perceptions in class/online forum.

**Read **Section 6.1 of *Introductory Statistics.*

**Consider **the following as you read:

- What are two characteristics of a continuous probability distribution function?

**Read **Section 6.2 of *Introductory Statistics.*** **

**Consider **the following as you read:

- How do you convert a normal distribution to a standard normal distribution?

**Read **Section 6.4 of *Introductory Statistics.*** **

**Consider **the following as you read:

- Practice using the z-table to review areas under the curve.

**Read **Section 7.1 of *Introductory Statistics.*

**Consider **the following as you read:

- Describe a probability distribution.

**Read **Section 12.1 of *Introductory Statistics.*

**Consider **the following as you read:

- Understand to test the null hypothesis.

**Read **Section 12.2 of *Introductory Statistics.*

**Consider **the following as you read:

- How many groups are used for comparisons?
- State your alternative hypothesis.

**Watch **the instructional video by clicking on the Lynda.com® link.

**Type** the title “Statistics Foundations: 2” in the Search Bar to find the video.** **

**Watch** the following tutorials from Section 4:

- What Is a Confidence Interval?

**Consider** the following as you watch:

- How do you calculate the mean and error of a sampling distribution?

**Discuss** your perceptions in class/online forum.

**Read **Section 8.1 of *Introductory Statistics.*

**Consider **the following as you read:

- Define inferential statistics.
- Describe two types of estimates.
- How to calculate confidence intervals.

**Read** Section 8.2 of *Introductory Statistics.*

**Consider **the following as you read:

- How to construct a confidence interval for the population about the mean and a known σ.

**Read** Section 8.4 of *Introductory Statistics.*

**Consider **the following as you read:

- When making conclusions based on the types of confidence intervals what you have learned?

**Read **Section 9.1 of *Introductory Statistics.*** **

**Consider **the following as you read:

- Why perform hypothesis tests?

**Read **Section 9.2 of *Introductory Statistics.*** **

**Consider **the following as you read:

- List three conditions to perform a test for a population mean with a known mean µ and standard deviation σ.

**Read** Section 9.4 of *Introductory Statistics.*** **

**Consider **the following as you read:

- Understand sampling techniques.
- Interpret statistical results.

**Read** Section 10.1 of *Introductory Statistics.*** **

**Consider **the following as you read:

- Identify population or sample.
- Is your sample dependent?
- Calculate your test statistic.

**Read** Section 10.2 of *Introductory Statistics.*** **

**Consider **the following as you read:

- Identify test distribution based on sample size.
- Is your sample dependent?
- Determine if standard deviations are equal.

**Watch **the instructional video by clicking on the Lynda.com® link.

**Type** the title ” Statistics Foundations: 2″ in the Search Bar to find the video.

**Watch** the following tutorials from Section 5:

- How to Test a Hypothesis in Four Steps

**Consider** the following as you watch:

- List four steps to test a hypothesis.
- Identify how to state an alternative hypothesis.
- What are different types of errors are produced from hypothesis testing? Explain.

**Discuss** your perceptions in class/online forum.

**Read **Section 11.1 of *Introductory Statistics.*

**Consider **the following as you read:

- Describe the shape of the distribution.
- Understand how to calculate degrees of freedom.
- What is the parameter of the distribution?
- Interpret the p-value.

**Read** Section 11.2 of *Introductory Statistics.*

**Consider **the following as you read:

- What is a Goodness-of-Fit test?
- Define an observed frequency.
- Define an expected frequency.

**Read** Section 13.1 of *Introductory Statistics.*

**Consider **the following as you read:

- What type of variables are used in a linear regression equation?
- How many variables does a simple linear regression have?
- What is the difference between linear and nonlinear regression lines?

**Read **Section 13.4 of *Introductory Statistics.*** **

**Consider **the following as you read:

- Understand the strength of association between variables.
- Range of correlation coefficient.
- Interpret the sign of a correlation confident.

**Watch **the instructional video by clicking on the Lynda.com® link.

**Type** the title “Statistics with Excel Part One” in the Search Bar to find the video.

**Watch** the following tutorials from Section 19:

- Two-Factor ANOVA

**Consider** the following as you watch:

- Discover how to perform a two factor hypothesis test with Microsoft® Excel®.

**Discuss** your perceptions in class/online forum.

**Watch **the instructional video by clicking on the Lynda.com® link.

**Type** the title “Statistics with Excel Part One” in the Search Bar to find the video.

**Watch** the following tutorials from Section 20:

- Regression Line Overview

**Consider** the following as you watch:

- How can you use Microsoft® Excel® to create a regression line?

**Discuss** your perceptions in class/online forum.

**Watch **the instructional video by clicking on the Lynda.com® link.

**Type** the title “Descriptive Healthcare Analytics in R” in the Search Bar to find the video.

**Watch** the following tutorials from Section 6:

- Introduction to ANOVA and Linear Regression Code

**Consider** the following as you watch:

- Demonstrate what Microsoft® Excel® statistical tools are needed to produce a linear regression and ANOVA models.

**Discuss** your perceptions in class/online forum.

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