SCIENCE: REASON FOR THE SEASONS I NEED THE ANSWERS TO JUST THE NUMBERS THINGS. PLEASE HELP...

Analyzing Your Data
1. Use the data table below to record the number of lighted squares.
2. Count the approximate number of squares inside each light outline. Record your counts in the data table below. NOTE: For partial squares, estimate how much of the square is included. For example, if it looks like one-fourth of the square is included, add 0.25 to your total. If it looks like half of the square is included, add 0.5 to your total. (Use decimals, not fractions.)

Questions & Conclusions
Answer the questions below:

1) Identify the independent variable in this experiment.

2) Identify the dependent variable in this experiment.

3) Identify two constants in this experiment.

4) How did the number of squares inside the outline change as the degree of tilt increased?

5) How did the brightness or intensity of the light change as the degree of tilt increased?

6) Explain how this demonstration models the way in which the intensity of sunlight shining on Earth changes over the course of the year. Be detailed in your explanation.

7) Which degree of tilt (0-green, 10-blue, 20-purple, 30-orange or 40-black) produced light similar to what North America experiences in summer? Explain your answer.

8) What would be the effect on the seasons and the northern and southern hemispheres if Earth were not tilted? Explain your answer.

i can you with this sweetie!

step-by-step explanation:

to have more of what you want like money

step-by-step explanation:

save it by not spending on unnecessary stuff and have more

step-by-step explanation:

i found the life tables for the year 2012. 

life table of males at age 30. probability of dying between ages x and x+1

total population:  

29–30 . . . . . . . . . . . . 0.001030

30–31 . . . . . . . . . . . . 0.001061

males:  

29–30 . . . . . . . . . . . . 0.001420

30–31 . . . . . . . . . . . . 0.001448

white population

29–30 . . . . . . . . . . . . 0.001005

30–31 . . . . . . . . . . . . 0.001037

white males

29–30 . . . . . . . . . . . . 0.001372

30–31 . . . . . . . . . . . . 0.001399

non hispanic white population

29–30 . . . . . . . . . . . . 0.001083

30–31 . . . . . . . . . . . . 0.001116

non hispanic white males

29–30 . . . . . . . . . . . . 0.001477

30–31 . . . . . . . . . . . . 0.001503

jacob, non hispanic white male. 30 years old.

probability that jacob lives to be 30 years old. 

since the given probabilities are probabilities of dying, i think we simply subtract it from 1 to get the probability of living. we will use the probability of non hispanic white male.

                                          probability of living to be 30 y.o.

29 - 30 : 1 - 0.001477 = 0.998523

30 - 31 : 1 - 0.001503 = 0.998497

the car was traveling 40 mph before it started skidding. ( 2 points ) 17. was the driver were her brakes working at 75% efficiency or better? ( 2 points ) yes 29.

step-by-step explanation: