An experimenter suspects that a certain die is "loaded;" that is, the chances that the die lands on different faces are not all equal. Recall that dice are made with the sum of the numbers of spots on opposite sides equal to 7: 1 and 6 are opposite each other, 2 and 5 are opposite each other, and 3 and 4 are opposite each other.
The experimenter decides to test the null hypothesis that the die is fair against the alternative hypothesis that it is not fair, using the following test. The die will be rolled 30 times, independently. If the die lands with one spot showing 9 times or more, or 0 times, the null hypothesis will be rejected.
The power of this test against the alternative hypothesis that the chance the die lands with one spot showing is A%, the chance the die lands with six spots showing is B%, and the chances the die lands with two, three, four, or five spots showing each equal 1/6, is:
A and B is not a clear number, please include A and B in the result.
the significance level =P(reject | null is true )=P(X>=9)÷P(X<=0) where X is # times 1 spot shows in 30 trials,binomial with n=30 and p=1/6(null=fair die) so both the probabilities can be obtained from the tool.
An experimenter suspects that a certain die is "loaded;" that is, the chances that the die...
An experimenter suspects that a certain die is "loaded;" that is, the chances that the die lands on different faces are not all equal. Recall that dice are made with the sum of the numbers of spots on opposite sides equal to 7: 1 and 6 are opposite each other, 2 and 5 are opposite each other, and 3 and 4 are opposite each other. The experimenter decides to test the null hypothesis that the die is fair against the...
Please don't copy another solution. Make it original! The seller of a loaded die claims it will favor the outcome 6. We don’t believe that claim and roll the die 200 times to test an appropriate hypothesis. Our p-value turns out to be 0.03. a. What null and alternative hypotheses make sense here? b. Explain what is wrong with each conclusion below: There’s a 3% chance that the die is fair. There’s a 97% chance that the die is fair....
2. A player in a dice game suspects that one of the dice is loaded. (A loaded die is one in which the numbers do NOT have an equally likely chance of being thrown.) The player throws the die 400 times and records the outcome of each throw. The results are shown in data set 12_122. Following the directions given in the 12.1 lecture, open the 12_1 22 data set in StatCrunch and perform a goodness- of-fit test, then answer...
. [8] A gambler suspects a six sided die is "loaded" meaning the center of mass of the die is not in the center but toward one face, thus shifting the probability of each face from 1/6 each to something else. In the course of 600 trials, she observes (122 "aces", 103 "twos.98 "threes 95 "fours", 105 "fives" and 77 sixes". On a die, the even and odd spots are on opposite sides so one way we could look at...
I need answer part 2
1. A die is rolled 300 times; it lands five 58 times. Is this evidence significant enough to conclude that the die is not fairly balanced? nat lica DC a) State the Null and Alternative hypothesis. ord olu b) Draw the picture to state the rejection region for a significance level of 0.05. ula c) Find the Test statistic value z. is! d) Find the critical z-value. ati lea: e) Dan e) Decide whether H_0...
. [8] A gambler suspects a six sided die is "loaded" meaning the center of mass of the die is not in the center but toward one face, thus shifting the probability of each face from 1/6 each to something else. In the course of 600 trials, she observes (122 "aces", 103 "twos.98 "threes 95 "fours", 105 "fives" and 77 sixes". On a die, the even and odd spots are on opposite sides so one way we could look at...
A die is rolled 120 times to see if it is fair. The table below shows the frequencies for each of the six possible outcomes. Use a level of significance of a = 0.05. a. Complete the rest of the table by filling in the expected frequencies (enter your answers in fraction form): Frequency of Dice Values Outcome Frequency Expected Frequency 29 2 23 ديا 17 4 10 5 23 6 18 b. What is the correct statistical test to...
A die is rolled 120 times to see if it is fair. The table below shows the frequencies for each of the six possible outcomes. Use a level of significance of a=0.10. a. Complete the rest of the table by filling in the expected frequencies (enter your answers in fraction form) Frequency of Dice Values Outcome Frequency Expected Frequency aw- b. What is the correct statistical test to use? Select an answer c. What are the null and alternative hypotheses?...
a.) Are the conditions for running this test stratified?
- Yes, all observed counts are bigger than 5.
- Yes, the mean number of counts is bigger than 10.
- Yes, the total number of rolls is bigger than 10.
- Yes, all expeced counts are bigger than 10.
b.) State the null hypothesis.
- The data fit the distribution for a fair six-sided die.
- The data do not fit the distribution for fair six-sided
die.
c.) What are...
You are trying to determine if a certain die is fair (has a uniform distribution). You roll the die 96 times and record the outcomes in the table below. You conduct a chi-square Goodness-of-Fit hypothesis test at the 1% significance level. Outcome 1 2 3 4 5 6 Expected 16 16 16 16 16 16 Observed 9 17 5 18 18 29 (a) Select the correct null and alternative hypotheses for this test. Select all that apply: H0: The die...