##### Applied Statistics :

More specifically, what does the value you calculated in both regression analyses explain about the constants.

##### Applied Statistics :

compute a 90%, 95%, 99% confidence intervals for the mean usage in the March quarter of 2020.

##### Applied Statistics :

Find the expected value of owning a defibrillator if there is a 4% probability that Sprint to Life will lose a lawsuit regarding its operation.

##### Applied Statistics :

Compute the probability of getting more than 3 times of even numbers by using relative frequency.

##### Applied Statistics :

Is the OLS-based estimator for each regression coefficient unbiased? Why? Provide mathematical arguments for your answer.

##### Applied Statistics :

What is the best two variable regression model to predict average computer price? Is there a problem with using linear regression on this data?

##### Applied Statistics :

Explain the central limit theorem. Describe hypothesis testing and explain how to develop null and alternative hypotheses.

##### Applied Statistics :

Identify the null and alternative hypothesis for the statistical test. Identify the Independent and Dependent variables, as appropriate.

##### Applied Statistics :

Identify critical values for the test statistics and state the decision rule concerning when to reject or fail to reject the null hypothesis of no relationship.

##### Applied Statistics :

What do the results tell us about your hypotheses? What conclusions can we draw from these results? What conclusions can we NOT make using these results?

##### Applied Statistics :

Explain what it means to say, variables must vary. Compare and contrast the characteristics of continuous and discrete variables.

##### Applied Statistics :

Calculate the mean, standard deviation, skew, 5-number summary, and interquartile range (IQR) for each of the variables.

##### Applied Statistics :

From the case study, determine the challenges faced by the Help Desk at Bank USA and suggest strategies to mitigate them.

##### Applied Statistics :

Discuss the nature of the current database. What variables were analyzed? Summarize your descriptive statistics findings from Excel.

##### Applied Statistics :

What are some potential reasons to explain the changes in Hertz's depreciation of its revenue-earning equipment?

##### Applied Statistics :

Find the probability that the customer consumes less than 2546 calories. What proportion of the customers consume over 3082 calories?

##### Applied Statistics :

Use Excel's Analysis ToolPak to conduct a regression analysis of Age and Assessment Value. Is Age a significant predictor of AssessmentValue?

##### Applied Statistics :

Obtain the descriptive statistics (quartiles) and the average diversity index for CA and for IL. Where are the counties with the largest mixed population?

##### Applied Statistics :

You would like to be 98% confident that you estimate is within 1% of the true population proportion. How large of a sample size is required?

##### Applied Statistics :

Is Ascension Health growing? How do you know? What line items reflected the largest-percentage increases and/or decreases?

##### Applied Statistics :

What is the value to knowing there is a correlation between the variables? For example, what businesses might flourish in a wealthy area?

##### Applied Statistics :

Determine the average time with the motor-dexterity test, along with the standard deviation. Obtain the results and decide if the hypotheses are supported.

##### Applied Statistics :

Discuss the nature of the current database. What variables were analyzed? Summarize your descriptive statistics findings from Excel.

##### Applied Statistics :

Describe your go-to meal from any restaurant that you regularly go to. Include the name of the restaurant in your description.

##### Applied Statistics :

Select a company that you believe has an ethical culture. Explain why you selected that company. Also give some examples.