Five hundred randomly selected automobile owners were questioned on the main reason they had purchased their current automobile. The results are given below.
Styling |
Engineering |
Fuel Economy |
Total |
|
Male |
70 |
130 |
150 |
350 |
Female |
30 |
20 |
100 |
150 |
Total |
100 |
150 |
250 |
500 |
a. |
State the null and alternative hypotheses for a contingency table test. |
b. |
State the decision rule for the critical value approach. Let alpha = .01. |
c. |
Calculate the x2 test statistic. |
d. |
Give your conclusion for this test. |
Five hundred randomly selected automobile owners were questioned on the main reason they had purchased their...
4 500 randomly selected automobile owners were current automobile. The results are given below. questioned on the main reason they had purchased their Total Styling Engineering Fuel Economy Male 340 68 132 140 160 Female 32 18 110 Total 500 250 100 150 State the null and alternative hypotheses for a contingency table test for independence of gender. a. b. State the decision rule, using a .01 level of significance. Calculate the x Give your conclusion for this test. test...
A real estate research firm has developed a regression model relating list price (Y in 1,000) with two independent variables. The two independent variables are number of bedrooms and size of the property. Part of the regression results are shown below. ANOVA MS Regression 256881.37 128440.68 Residual 42 726699.96 17302.38 Coefficients Standard Error Star Intercept 54.298 # Bedrooms 53.634 71.326 5.271 33.630 Acres 21.458 1. What has been the sample size? (2 Points) 2. What is the value of the...
1. Many companies use a incoming shipments of parts, raw materials, and so on. In the electronics industry, component parts are commonly shipped from suppliers in large lots. Inspection of a sample of n components can be viewed as the n trials of a binomial experimem. The outcome for each component tested (trialD will be that the component is classified as good or defective defective components in the lot do not exceed 1 %. Suppose a random sample of fiver...