Companies that produce candies typically offer different colors of their candies to provide consumers a choice. Presumably, the consumer will choose one color over another because of taste. Chance (Winter 2010) presented an experiment designed to test this taste theory. Students were blindfolded and then given a red or yellow Gummi Bear to chew. (Half the students were randomly assigned to receive the red Gummi Bear and half to receive the yellow Bear. The students could not see what color Gummi Bear they were given.) After chewing, the students were asked to guess the color of the candy based on the flavor. Of the 121 students who participated in the study, 97 correctly identified the color of the Gummi Bear.

a. If there is no relationship between color and Gummi Bear flavor, what proportion of the population of students would correctly identify the color?

b. Specify the null and alternative hypotheses for testing whether color and flavor are α=.01related.

c. Carry out the test and give the appropriate conclusion at Use the p-value of the test, shown on the accompanying SPSS printout, to make your decision.

Short Answer

Expert verified

a. The proportion of the population of students who would correctly identify the color is 0.5.

b.The hypotheses areH0:p=0.50andHa:p0.50

c. At a 1% significance level, we have sufficient evidence to conclude a significant relationship between color and flavor.

Step by step solution

01

Given information

As per the study, out of 121 students who participated, 97 correctly identified the color.

That is

The size of the samplen=121

The sample proportion is

p^=97121=0.802

02

Calculating the proportion

If there is no relationship between color and Gummi Bear flavor, then each student can make a correct guess or wrong.

Hence the proportion of the population of students would correctly identify the color 0.5.

03

Setting up the hypotheses

We have to test whether color and flavor are related or not.

That is, we have to test whether the true proportion of students who correctly identified the color of the Gummi Bear is 0.5 or not.

The null and alternative hypotheses are given as

H0:p=0.5

That is, there is no significant relation between color and flavor.

And

Ha:p0.50

That is, there is a significant relation between color and flavor.

04

Conclusion using p-value

As per the SPSS printout, the p-value is 0.000

That is

p-value=0.000<0.01

That is, the p-value is less than the significance level.

Hence, we reject the null hypothesis.

Conclusion:

At a 1% significance level, we have sufficient evidence to conclude that there is a significant relation between color and flavor.

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Most popular questions from this chapter

A simple random sample of 25 observations was selected from a normal population. The mean and standard deviation of this sample are 20 and 5, respectively.

a. Test H0:μ=22against Ha:μ22at the 10% significance level.

b. Test H0:μ22against H0:μ22at the 1% significance level.

a. List three factors that will increase the power of a test.

b. What is the relationship between b, the probability of committing a Type II error, and the power of a test?

A random sample of 64 observations produced the following summary statistics: \(\bar x = 0.323\) and \({s^2} = 0.034\).

a. Test the null hypothesis that\(\mu = 0.36\)against the alternative hypothesis that\(\mu < 0.36\)using\(\alpha = 0.10\).

b. Test the null hypothesis that \(\mu = 0.36\) against the alternative hypothesis that \(\mu \ne 0.36\) using \(\alpha = 0.10\). Interpret the result.

Which of the elements of a test of hypothesis can and should be specified prior to analyzing the data that are to be used to conduct the test

Question: Testing the placebo effect. The placebo effect describes the phenomenon of improvement in the condition of a patient taking a placebo—a pill that looks and tastes real but contains no medically active chemicals. Physicians at a clinic in La Jolla, California, gave what they thought were drugs to 7,000 asthma, ulcer, and herpes patients. Although the doctors later learned that the drugs were really placebos, 70% of the patients reported an improved condition. Use this information to test (at α = 0.05) the placebo effect at the clinic. Assume that if the placebo is ineffective, the probability of a patient’s condition improving is 0.5.

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