Docsity
Docsity

Prepare for your exams
Prepare for your exams

Study with the several resources on Docsity


Earn points to download
Earn points to download

Earn points by helping other students or get them with a premium plan


Guidelines and tips
Guidelines and tips

15 Questions on Introduction to Statistics - Homework | MATH 102, Assignments of Statistics

Material Type: Assignment; Class: Introduction to Statistics; Subject: Mathematics; University: Colgate University; Term: Unknown 1989;

Typology: Assignments

Pre 2010

Uploaded on 08/18/2009

koofers-user-8ru
koofers-user-8ru 🇺🇸

10 documents

1 / 2

Toggle sidebar

This page cannot be seen from the preview

Don't miss anything!

bg1
UNIT 6 HOMEWORK
Math 102 & Core 143
Note: All data below is ficticious.
1. Complete the following table regarding tossing a fair coin and counting the number of heads.
|Number of heads |Percent of heads
Number of tosses |Expected value |SEsum |Expected value |SE%
100 |50 |5|50% |5%
2500 | | | | 1%
10000 | | | |
1000000 | | | |
2. A box contains 1 zero and 9 ones. True or false and justify your answer.
i) If we draw 10 times we have a better chance of getting exactly 1 zero than the chance of getting
exactly 10 zeros on 100 draws.
ii) If we draw 100 times we have a better chance of getting exactly 10 zeros than the chance of
getting exactly 100 zeros on 1000 draws.
iii) If we draw 10 times we will get closer to 10% zeros than if we draw 10000 times.
3. In gambling, the following is a commonly held belief. If a gambler has lost 10 times in a row,
then the gambler should continue playing because he is due to win, by the law of averages. Explain
why this reasoning is incorrect.
4. Create box models for each of the following situations.
i) We roll 20 dice and want to add the sum of the values rolled.
ii) We roll a pair dice and win $1 if the sum is greater than or equal to 10. We lose $1 otherwise.
This game is played 50 times.
5. True or false: We flip a fair coin 100 times. The chance that we get exactly 50 heads is less than
the chance that we get exactly 50% heads.
6. Consider a box with the numbers 1,2,7,9,9,10 in it. We draw 100 times (with replacement).
i) What is the chance that the sum of draws is less than 100?
ii) What is the chance that the sum of draws is greater than 1000?
iii) What is the approximate chance that the sum of draws is between 650 and 750?
7. We bet $1 on roulette and have a 12
38 chance of winning. If we win, we win $2 (otherwise, we lose
our $1). We play this game 100 times. Fill in the blanks:
We expect to win/lose (circle one) $ , give or take $ .
8. You roll a die 180 times and count the number of !
’s.
i) Fill in the blanks: We expect to get !
’s., give or take !
’s.
ii) If we gather a large group of people to each do the above experiment (roll a die 180 times and
count the number of !
’s), about what percentage of these people should get an answer between 15
and 45?
pf2

Partial preview of the text

Download 15 Questions on Introduction to Statistics - Homework | MATH 102 and more Assignments Statistics in PDF only on Docsity!

UNIT 6 HOMEWORK

Math 102 & Core 143

Note: All data below is ficticious.

  1. Complete the following table regarding tossing a fair coin and counting the number of heads.

| Number of heads | Percent of heads Number of tosses | Expected value | SEsum | Expected value | SE% 100 | 50 | 5 | 50% | 5% 2500 | | | | 1% 10000 | | | | 1000000 | | | |

  1. A box contains 1 zero and 9 ones. True or false and justify your answer. i) If we draw 10 times we have a better chance of getting exactly 1 zero than the chance of getting exactly 10 zeros on 100 draws. ii) If we draw 100 times we have a better chance of getting exactly 10 zeros than the chance of getting exactly 100 zeros on 1000 draws. iii) If we draw 10 times we will get closer to 10% zeros than if we draw 10000 times.
  2. In gambling, the following is a commonly held belief. If a gambler has lost 10 times in a row, then the gambler should continue playing because he is due to win, by the law of averages. Explain why this reasoning is incorrect.
  3. Create box models for each of the following situations. i) We roll 20 dice and want to add the sum of the values rolled. ii) We roll a pair dice and win $1 if the sum is greater than or equal to 10. We lose $1 otherwise. This game is played 50 times.
  4. True or false: We flip a fair coin 100 times. The chance that we get exactly 50 heads is less than the chance that we get exactly 50% heads.
  5. Consider a box with the numbers 1,2,7,9,9,10 in it. We draw 100 times (with replacement). i) What is the chance that the sum of draws is less than 100? ii) What is the chance that the sum of draws is greater than 1000? iii) What is the approximate chance that the sum of draws is between 650 and 750?
  6. We bet $1 on roulette and have a 1238 chance of winning. If we win, we win $2 (otherwise, we lose our $1). We play this game 100 times. Fill in the blanks: We expect to win/lose (circle one) $ , give or take $.

8. You roll a die 180 times and count the number of !•^ ’s.

i) Fill in the blanks: We expect to get !•^ ’s., give or take !•^ ’s.

ii) If we gather a large group of people to each do the above experiment (roll a die 180 times and

count the number of !•^ ’s), about what percentage of these people should get an answer between 15

and 45?

  1. A box has the numbers − 1 , 0 , 1 in it. We make 400 draws from this box. Approximate the chance that our sum is

a) greater than 0 b) at least 10

c) less than − 15

  1. A coin is twice as likely to land heads as it is tails. a) Use the Central Limit Theorem to approximate the chance that on 90 flips I will get exactly 60 heads. b) Use the Binomial formula to find the exact chance of the event given in part (a).
  2. The average person weights 150 pounds with an SD of 35 pounds. We want to lift 50 people in an elevator. If an elevator is designed to lift 8000 pounds, what is the chance that the elevator will not work when a random group of 50 people get on?
  3. In a town of 25,000 households, we sample 500 households and find that 79 had computers. Find a 95% confidence interval for the percentage of all 25,000 households that had a computer.

13. You roll a die 180 times and count the number of !•^ ’s.

i) Fill in the blanks: We expect to get !•^ ’s., give or take !•^ ’s.

ii) If we gather a large group of people to each do the above experiment (roll a die 180 times and

count the number of !•^ ’s), about what percentage of these people should get an answer between 15

and 45?

  1. A box of tickets has an average of 100, and an SD of 20. We make 400 draws, with replacement, from this box. a) Find the approximate chance that the average of the draws will be between 80 and 120, exclusive. b) Find the approximate chance that the average of the draws will be between 99 and 101, inclusive.
  2. We make 500 draws at random, with replacement, from a box containing 10000 unknown numbers. The average of our sample is 71.3 with an SD of 2.3. Find a 95% confidence interval for the average of the box.