Option 1 or 2. Option 1: Use the NOAA data set provided, to examine the variable...
Flip a coin 10 times and record the observed number of heads and tails. For example, with 10 flips one might get 6 heads and 4 tails. Now, flip the coin another 20 times (so 30 times in total) and again, record the observed number of heads and tails. Finally, flip the coin another 70 times (so 100 times in total) and record your results again. We would expect that the distribution of heads and tails to be 50/50. How...
you flip a coin 8 times and record the results using zero four heads and one for tails you find the variance is investigating the sample variance the same as investigating the sample distribution of the variance ?
For each of the questions below, a histogram is described. Indicate in each case whether, in view of the Central Limit Theorem, you can be confident that the histogram would look like approximately a bell-shaped (normal) curve, and give a brief explanation why (one sentence is probably sufficient). There are no data for these questions, so you will not need to use the computer to answer these questions. Please provide brief explanations for each. The price of one gallon of...
PLEASE ANSWER QUESTION # 5 a and b !!!!!!!!!! 4) Chapter 4-5: a) You flip a balanced coin 3 times. What is the probability that you get 3 heads? b) You flip a balanced coin 3 more times. What is the probability that you get 3 tails? c) What is the probability that you get 3 heads followed by 3 tails? d) What is the probability that you get exactly 1 head in the 6 flips? 5) Chapter 6: a)...
For this question, you will flip fair coin to take some samples and analyze them. First, take any fair coin and flip it 12 times. Count the number of heads out of the 12 flips. This is your first sample. Do this 4 more times and count the number of heads out of the 12 flips in each sample. Thus, you should have 5 samples of 12 flips each. The important number is the number of heads in each sample...
1. Multiple choice. Circle all the correct answers a) You flip a coin 100,000 times and record the outcome in a Xi 1 if the toss is "Heads" and 0 if its "Tails. The Law of Large Numbers says that: i. ii. It is impossible for the first n flips to all be "Heads" if n is large. With high probability, the share of coin flips that are "Heads" will approximate 50%. The sample mean of X is always 0.5...
Weekly Experiment and Discussion - Part 1 Take 2 coins and flip "together" 50 times Tally each set of flips and report the frequencies in the format shown below: 2nd coin Heads 2nd coin tails 1st coin Heads # of (H, H) # of (H, T) 1st coin Tails # of (T, H) # of (T, T) (e.g., if on 12 occasions both coins were heads, there should be a 12 in the top left box) Weekly Experiment and Discussion...
Week 7 1) The population from which a sample is drawn is: a) Always Normal in shape b) Bigger in size than the sample size (N is greater than ) c) A large number of subjects or people d) None of the above 2) The probability of 2 heads when we flip a coin twice is: a) 1 b).5 C) 25 d).75 e) Unknown 3) How many possible values of the variable "# of heads when a coin is flipped...
One application of an absolute value inequality is the concept of the unfair coin. If a coin is tossed 100 times, we would expect approximately 50 of the tosses to be heads; however this is rarely the case.1. Toss a coin 100 times to test this hypothesis. Record the number of times the coin is heads and the number of times the coin is tails on the lines below. You may want to ask someone to tally the results of...