What is the appropriate null hypothesis for waterhole bar


Complete the following:

1. Use the following information for questions a-b.

The Waterhole bar and grill decided to run a special offer of a free fried zucchini appetizer with the purchase of a pitcher of beer and a sandwich for Monday nights only during the height of the baseball season. A loyal customer who loves baseball and grows vegetables agreed to supply the squash free. Management's objective was to exceed last year's average Monday night sales volume of $1,900. The data for the 12-week period during the fried zucchini special is as follows:
$2,200 $2,400 $2,100 $2,250
$1,800 $1,950 $2,500 $2,600
$2,650 $1,600 $2,700 $1,850

a. What is the appropriate null hypothesis for The Waterhole bar and grill to test?
a. H0: μ = $1,900
b. H0: μ ≠ $1,900
c. H0: μ ≥ $1,900
d. H0: μ ≤ $1,900

b. What is the value of the test statistic?
a. 1.50
b. 2.76
c. 3.01
d. 3.28

2. There are 4 TV sets in the student center of a large university. At a particular time of each day, four different soap operas (1,2,3 and 4) are viewed on these TV sets. The percentages of the audience believed to be captured by these shows during one semester were 25 percent, 30 percent, 25 percent, and 20 percent, respectively.
During the first week of the following semester, 300 students are surveyed and revealed the following
info: soap 1-- 80 viewers; soap 2-- 88 viewers; soap 3--79 viewers; and soap 4---53 viewers.

a) Set up expected and observed frequencies.

b) Set up the hypothesis.

c) Perform the goodness of fit test; alpha =.01

3. What would determine if you should use a one way vs. a two way analysis of variance test (ANOVA)(level, factors, etc.--explain)?

4. In setting up a one tail test is Ha what you are looking for or is Ho(where do you put the theory that you are trying to prove)?

5. The following is an example of which hypothesis test set-up:
Ho: p1Ha: p1> p2

a. one-tailed (upper-tailed)
b. one -tailed (lower -tailed)
c. two tailed

6. One of the objectives of simple linear regression is to predict the value of the independent variable X as a linear function of the dependent variable Y.T F

Use the following scatter plot to answer question 7.

7. The dependent variable shown in the plot is the selling price of the real estate property.T F

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