In a normal distribution, moving 2 standard deviations on both sides of the mean encompasses what percentage of the scores? 

Mario is interested in finding out how committed individuals are to their current video streaming service. He posts a link to his survey on all of his social media platforms. Because he knows that younger people are more likely to use streaming video services than older people, he separates his population according to their age to create two groups (GROUP 1: 30 years old and younger; GROUP 2: 31 years old and older) and then randomly selects every 4th person from each group to complete his survey than older people. This is an example of which sampling method?

The table below lists the average number of new homes sold per month by a local real estate firm using three different advertising strategies (A, B, and C).   Advertising Strategy Average Home Sales (per month) A 15 B 25 C 22   Furthermore, assume the least significant difference (LSD) for this test equals 5. Compare all 3 advertising strategies and determine which methods are significantly different (or not). Finally, briefly explain your overall advice (statistically speaking) to the real estate company regarding the use of these advertising strategies.

Data were collected on the number of home runs (HR) hit (x-variable) and the number of games won (y-variable) by a sample of Major League Baseball teams. The following Excel output was generated from the data:  Question: Don’t worry about Ho and Ha or the 7 steps, but using only the Excel output provided, is the number of home runs hit (HR) significantly related to team wins (α = .05)? Again, don’t worry about a formal test, but make sure you explain WHY you decided the HR variable is or is not significant, statistically speaking, and what that means.

Data were collected on the number of home runs (HR) hit (x-variable) and the number of games won (y-variable) by a sample of Major League Baseball teams. The following Excel output was generated from the data:  Question: Using the Excel output above, predict the number of wins for a team with 190 home runs.    

Below is a table for a Randomized Block ANOVA looking for differences in computer prices based on two factors: size of hard drive and amount of RAM. Analysis of Variance Sum of Squares for a RB ANOVA test Source DF SS MS F-Value P-Value  Hard Drive 3 820.4 273.47 4.99 0.045  RAM 2 1108 554 10.10 0.012 Error 6 329 54.83     Total 11 2257.4         Question (fill in the blanks): Based on the numbers in the table above, fill in the amounts for the three remaining “sums of squares” (SS) if we had NOT included “RAM as a second factor in this model? That is, what would SS Hard Drive, SS Error, and SS Total equal if RAM had not been included as a second explainer in this model? SS Hard Drive = , SS Error = , SS Total =    

Data were collected on the number of home runs (HR) hit (x-variable) and the number of games won (y-variable) by a sample of Major League Baseball teams. The following Excel output was generated from the data:  QUESTION: According to the output above, what exactly is unusual about observation 20? Be as specific as you can. 

According to chapter 6, what are the two types of run-on sentences? Select all that apply. 

According to chapter 6, what is the only exception for changing narrative order?

According to chapter 7, which of the following are associated with description? Select all that apply.