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Hypothesis Testing with M&Ms

The plain M&M's Milk Chocolates are mass-produced with a distribution of 24% blue, 20% orange, 16% green, 14% yellow, 13% red and 13% brown. The peanut M&M's are mass-produced with a distribution of 23% blue, 23% orange, 15% green, 15% yellow, 12% red and 12% brown.

Open a packet of your favorite M&Ms, plain or peanut.

Count the number of M&M's in the packet.

Count number of BLUE, ORANGE, GREEN and RED candies.

For One Sample Hypothesis Testing, conduct a test of proportions for each of the four colors. Use two-tailed tests and a .05 significance level in each case. Be sure to use the proportions shown above as the hypothesized values.

After each student has posted their results, the instructor will summarize the findings. What we should see is that about 5% of the samples will likely result in a rejection of the null hypothesis.

Need this in an excel file please

Partial Question 3 1.33 / 4 pts Select each of the statements that are true: Both the Wilcoxon Signed Rank Test and the Sign Test ignore some of the sample Information by not using the actual observed values to compute the test statistics: The Sign test tends to be less powerful than the Wilcoxon Signed Rank Test A statistician should always use the statistical test that results in the smallest p value. In some samples, analyses with different inference tools will draw similar conclusions.Partial Question 3 2.67 / 4 pts Select each of the statements that are true: Both the Wilcoxon Signed Rank Test and the Sign Test ignore some of the sample information by not using the actual observed values to compute the test statistics. The Sign test tends to be less powerful than the Wilcoxon Signed Rank Test A statistician should always use the statistical test that results in the smallest p value. In some samples, analyses with different inference tools will draw similar conclusions.How does a natural experiment differ from a randomized one? O A. A natural experiment is expensive, while a randomized experiment is cheap. O B. Natural experiments are not influenced by omitted variables; randomized experiments contain omitted variables O C. A natural experiment uses existing variation, while a randomized experiment generates variation. O D. A natural experiment generates variation, while a randomized experiment uses existing variation. Which type of experiment is likely to yield more accurate results? O A. Randomized, because a natural experiment may not be completely randomized. O B. Natural, because there could be reverse causality. O C. Natural, because there could be an omitted variable. O D. Randomized, because a natural experiment may be completely influenced by chance. Suppose you had to find the effect of seatbelt rules on road accident fatalities. Would you choose to run a randomized experiment or would it make sense to use natural experiments here? Explain. O A. Randomized, because natural experiments with seatbelt rules may exist. O B. Natural, because seatbelt rules may be unrelated to road accident fatalities. O C. Randomized, because seatbelt rules may be influenced by road accident fatalities. O D. Natural, because seatbelt rules may increase road accident fatalities.D Question 7 3 pts Which of the following is true of a natural experiment? C) A natural experiment occurs when some endogenous event changes the environment in which individuals, families, rms. or cities operate. Q The control group in a natural experiment is ra ndomly chosen. Q Control and treatment groups in a natural experiment arise clue to an exogenous event. Q The treatment group in a natural experiment is randomly chosen. Question 8 3 pts The general approach to obtaining fully robust standard errors and test statistics in the context of panel data is known as . Q differencing Q confounding Q clustering Q attenuating