Total Frequency = 14 + 18 + 13 + 34 = 79
As each of the above event should be equally likely, therefore the expected frequency for each of the outcomes mentioned should be (79/4) = 19.75
Therefore the chi square test statistic here is computed as:



Therefore 14.4177 is the test statistic value here.
Suppose you want to test how fair is the coin. You conduct the following experiment. You...
Question 2 Suppose you have a fair coin (a coin is considered fair if there is an equal probability of being heads or tails after a flip). In other words, each coin flip i follows an independent Bernoulli distribution X Ber(1/2). Define the random variable X, as: i if coin flip i results in heads 10 if coin flip i results in tails a. Suppose you flip the coin n = 10 times. Define the number of heads you observe...
3. (25 pts) A Truly FAIR COIN: Because actual coins are not
truly balanced, P - the ACTUAL probability of HEAD for our old,
battered coin - may differ substantially from 1/2. The famous
Mathematician John Von-Neumann came up with the following proposal
for using our possibly unfair coin to simulate a truly fair coin
that always has PROB(HEAD)=PROB(TAIL) = 1/2, as follows: • (i) toss
the UNFAIR coin twice. This is the experiment E. • (ii) IF you got...
Suppose we suspect a coin is not fair we suspect that it has larger chance of getting tails than heads, so we want to conduct a hypothesis testing to investigate this question. a:(4 pts) Let p be the chance of getting heads, write down the alternative hypothesis Ha and the null hypothesis Ho in terms of p. b: (5 pts) In order to investigate this question, we flip the coin 100 times and record the observation. Suppose we use T...
Q2 (15) Suppose we suspect a coin is not fair – we suspect that it has larger chance of getting tails than heads, so we want to conduct a hypothesis testing to investigate this question. a:(4 pts) Let p be the chance of getting heads, write down the alternative hypothesis H, and the null hypothesis Ho in terms of p. b: (5 pts) In order to investigate this question, we flip the coin 100 times and record the observation. Suppose...
2. Suppose we want to test whether a coin is fair (that is, the probability of heads is p = .5). We toss the coin 1000 times, and record the number of heads. Let T denote the number of heads divided by 1000. Consider a test that rejects the null hypothesis that p=.5 if T > c. (a) Write down a formula for P(T>c) assuming p = 0.5. (This formula may be compli- cated, but try to give an explicit...
Perform the following experiment: Flip a coin 30 times. a) Using Maximum Likelihood Estimation, develop a point estimate of the probability that the coin will land on tails. b) Develop 95% and 99% confidence intervals for the probability the coin will land on tails. c) Test the null hypothesis that the coin is "fair."
You suspect that a coin is biased such that the probability heads is flipped (instead of tails) is 52%. You flip the coin 51 times and observe that 31 of the coin flips are heads. The random variable you are investigating is defined as X = 1 for heads and X = 0 for tails, and you wish to perform a "Z-score" test to test the null hypothesis that H0: u = 0.52 vs. the alternative hypothesis Ha: u > 0.52....
In order to test whether a certain coin is fair, it is tossed ten times and the number of heads (X) is counted. Let p be the "head probability". We wish to test the null hypothesis: p = 0.5 against the alternative hypothesis: p > 0.5 at a significance level of 5%. (a) Suppose we will reject the null hypothesis when X is smaller than h. Find the value of h. (b) What is the probability of committing a type...
Suppose that prior to conducting a coin-flipping experiment, we suspect that the coin is fair. How many times would we have to flip the coin in order to obtain a 98% confidence interval of width of at most .19 for the probability of flipping a head? a) 150 b) 149 c) 117 d) 116 e) 152
Suppose that prior to conducting a coin-flipping experiment, we suspect that the coin is fair. How many times would we have to flip the coin in order to obtain a 96.5% confidence interval of width of at most .12 for the probability of flipping a head? (note that the z-score was rounded to three decimal places in the calculation) a) 309 b) 226 c) 229 d) 312 e) 306 f) None of the above