How many variables are in the data file

Assignment Help Applied Statistics

Reference no: EM131576805

Assignment

Question #1:

How many variables are in the data file? How many participants?

Question #2:

Within the Analyze menu, where do you find the "Independent-Samples T Test..." command?

Question #3:

What does it mean if someone has a "4" for variable #22 "Negative Emotion (Childhood)"?

Question #4:

What was the exact wording we used in the survey for question #92 "Life Satisfaction"?

Question #5:

Repeat the above Frequency Command steps for variables #64 "Beauty Concerns" and #65 "Play Sports". What is the median rating for beauty concerns?

Question #6:

What is the cumulative percentage of people who rated themselves as a "4" or lower on the "Play Sports" variable?

Question #7:

Both of the variables have messy-looking histograms, but which variable is more negatively skewed?

Question #8:

You hypothesize that eating too much causes poor health. Make a scatterplot using variable #86 "Physical Health" and #48 "Eat too Much". Add a best fit line. Based on the scatterplot, does it look like your hypothesis is supported? (Remember, the "cause" goes on the X Axis).

Question #9:

What is the correlation between variable #95 "Sadness" and #94 "Friend Happiness" and what does this finding tell us?

Question #10:

Which of the following variables is most strongly correlated with #68 "Depression"?

#70 "Parents Fought Growing Up"
#91 "Object Relations"
#97 "Attractiveness"
#69 "Listen to Loud Music"

Question #11:

Based on question #10, what is the effect size for the correlation between Attractiveness and Depression?

Question #12:

You hypothesize that sleep problems, stress, and depression, will contribute to somatization (physical aches and pains, particularly when overwhelmed). Run a regression using #52 "Sleep Problems", #61 "Stress", and #68 "Depression" to predict #58 "Somatization". What is the value of R? What is the value of R2? What is the equation for predicting somatization? What conclusions can be drawn?

Question #13:

Using the equation in Section 3Be (the College GPA formula), predict your own college GPA (or a friend's) based on the three predictors. You may need to refer to the data guide to make the conscientiousness rating. Does the formula do a good job of predicting?

Attachment:- Assignment.rar

Reference no: EM131576805

Questions Cloud

Analyze the historical background and treatment : Racial and ethnic groups have faced various challenges throughout their history in the United States.

What you would encounter along the way : Compare and contrast how the MHC, BCR, and TCR differ in the way they are able to respond/present 10^11 possible antigens

Concept of cross-price elasticity of demand : Consider the concept of cross-price elasticity of demand and answer the following questions.

What will be the expected minimum price : Kenzie Cos. is expected to pay a dividend of $2.55 per year indefinitely. What will be the expected minimum price in light of the dividend payment logistics

How many variables are in the data file : How many variables are in the data file? How many participants? Within the Analyze menu, where do you find the "Independent-Samples T Test..." command?

Find a minimum spanning tree using kruskal algorithm : Prim's algorithm to find a minimum spanning tree for the given weighted graph.

What is the role of the statistical discrepancy : When all international economic transactions are considered, what must be true about the sum of debits and credits?

What was its net operating working capital : Valero Energys balance sheet showed total current assets of exist3,000, What was its net operating working capital (NOWC)?

Explain how prims and kruskals algorithms can be adapted : A minimum spanning forest in a weighted graph is a spanning forest with minimal weight.

User Account

All Pages