Chi-Square tells us whether two groups have significantly different opinions, which becomes a very useful piece of data for survey research. It’s applied to cross-tabulations, which can look like this

## Category: Statistics

## Week 7 regression correlation discussion post

Run a regression analysis in Excel and provide the results in your post along with your raw data.

Looking at the R2 value, explain what this indicates about the strength of the relation.

Then write out your Regression Equation, state if your p-value, and conclusion.

## Week six hypothesis testing I and II; Testing differences between means, variances, and proportions

A town official claims that the average vehicle in their area sells for more than the 40th percentile of your data set.

Using the data, you obtained in week 1, as well as the summary statistics you found for the original data set (excluding the super car outlier), run a hypothesis test to determine if the claim can be supported.

Make sure you state all the important values, so your fellow classmates can use them to run a hypothesis test as well.

Use the descriptive statistics you found during Week 2 — NOT the new SD you found during Week 4.

Because again, we are using the original 10 sample data set NOT a new smaller sample size.

Use alpha = .05 to test your claim.

## confidence interval and sample size discussion post

Using the data set you collected in Week 1, excluding the supercar outlier, you should have calculated the mean and standard deviation during Week 2 for price data.

Along with finding a p and q from Week 3.

## probability and counting rules Discrete probability distributions.

Recall the car data set you identified in Week 2.

You will want to calculate the average for your data set. (Be sure you use the numbers without the supercar outlier.)

Once you have the average, count how many of your data points fall below the average.

You will take that number and divide it by 10.

This will be your p or “success” in your problem.

Once you have p, calculate q.

## week four normal distribution one and two

Recall the car data set you identified in Week 2.

We know that this data set is normally distributed using the mean and SD you calculated. (Be sure you use the numbers without the supercar outlier.)

## Week 1: Using Data

Use these summary statistics to make two conclusions or observations about the typical vehicle in the sample.

One conclusion must relate to the measure of center (mean/median) and one to the variability (standard deviation) of the vehicles.

## Introductions and collecting data week one discussion

Introduce yourself to the class. Tell us about yourself—you may want to share where you work or plan to work after completing your program, about your family, and any hobbies or special interests.

Also, tell us about the last math class that you took and why you are taking this particular course.

What do you hope to gain from obtaining your degree?

How will your attitude affect your success in this class?

## claim about the standard deviation of pulse rates

Claim: The standard deviation of pulse rates of adult males is less than 11 bpm. For a random sample of 132 adult males, the pulse rates have a standard deviation of 9.9 bpm. Find the value of the test statistic.

## The value of the test statistic for mean pulse rate

Claim: The mean pulse rate (in beats per minute) of adult males is equal to 69.3 bpm. For a random sample of 144 adult males, the mean pulse rate is 68.4 bpm and the standard deviation is 10.9 bpm. Complete parts (a) and (b) below.