Hypothesis testing of consumer preference

Reference no: EM13111561

A test was conducted to determine whether gender of a spokesperson affected the likelihood that consumers would prefer a new product. A survey of consumers at a trade show employing a female spokesperson determined that 60 out of 200 customers preferred the product, while 72 of 180 customers preferred the product when a male spokesperson was employed. At the 0.05 level of significance, do the samples provide sufficient evidence to indicate that on the average, fewer consumers prefer a new product when the spokesperson is female?

Reference no: EM13111561

Questions Cloud

Test statistics-directional research hypothesis : An entrepreneur owns two hotels, one in the western region of a certain state and the other in the eastern region. He thinks that the average amount spent by guests for lunch at his Friendly Café-West is less than $34.50

Income effect of four earnings management approaches : In a study of how managers attempt to manage earnings, researchers analyzed a sample of 515 earnings- management attempts from a survey of experienced auditors. The frequency of effects is summarized in the table shown. Research question: At α..

Highest level of education : One reads that a business school graduate with an undergraduate degree earns more than a high school graduate with no additional education, and a person with a master's degree or a doctorate earns even more.

Conducting a one-tailed hypothesis test : Given the following data from two independent samples, conduct a one-tailed hypothesis test to determine if the first sample mean is larger than the second sample mean, given a 0.05 level of significance.

Hypothesis testing of consumer preference : A test was conducted to determine whether gender of a spokesperson affected the likelihood that consumers would prefer a new product.

Question regarding two-tailed hypothesis : Assuming that the population variances are equal for male and female Grade Point Averages (GPAs), use the following sample data to test whether the averages are different at the 0.05 level of significance.

Hypotheses for right-tailed test- test statistic and p-value : State the hypotheses for a right-tailed test. Obtain a test statistic and p-value assuming equal variances. Interpret these results. Is the difference in mean scores large enough to be important?

Hypothesis testing-dual degree students : The MBA department is concerned that dual degree students may be receiving lower grades than the regular MBA students. Two independent random samples have been selected.

Determining the right-tail p-value : The firm examined 35 randomly chosen fax transmissions during the next year, yielding a sample mean of 14.44 with a standard deviation of 4.45 pages. (a) At the .01 level of significance, is the true mean greater than 10? (b) Use Excel to find the..

User Account

All Pages