According to Relators-R-Us, the average price per square foot of homes in western Kansas is $85 with a standard deviation of $11.24. Using recent sales figures that happened in the city of Hays, the relators wish to determine if the average price per square foot in Hays is significantly different at the 1% level. In using a collection of thirty-seven randomly homes recently sold in Hays, they found the average price of these home was at $88.25 per square foot.
A. Give the null and alternative hypotheses for this test.
B. Determine the value of the test statistic.
C. Determine the appropriate critical value(s).
D. Determine the P-value.
According to Relators-R-Us, the average price per square foot of homes in western Kansas is $85...
According to the National Association of Home Builders, the average cost of building a home in the Northeast is $117.91 per square foot. A random sample of 38 new homes indicated that the mean cost was $123.87 and the standard deviation was $17. Can it be concluded that the mean cost differs from $117.91, using the 0.10 level of significance? Part 1 State the hypotheses and identify the claim with the correct hypothesis. H M - $ 117.91 not claim...
Your answer is partially correct. Try again Suppose that in past years the average price per square foot for warehouses in the United States has been $32.29. A national real estate investor wants to determine whether that figure has changed now. The investor hires a researcher who randomly samples 48 warehouses that are for sale across the United States and finds that the mean price per square foot is $31.62, with a standard deviation of $1.27. Assume that prices of...
Next Previous 3 4 5 6 Question 2 of 6 (1 point) View problem in a pop-up According to the National Association of Home Builders, the average cost of building a home in the Northeast is $117.91 per square foot. A random sample of 37 new homes indicated that the mean cost was $121.14 and the standard deviation was $20. Can it be concluded that the mean Fo cost differs from $117.91, using the 0.10 level of significance? Use thP...
Number of drinks sold Average drink price Volume of traffic Daily max temp (people per day) °F 413 65 690 2.3 870 442 108 3.65 499 240 104 3.15 726 311 108 3.4 773 437 108 2.85 571 388 85 3.5 519 276 74 1.8 470 209 107 2.2 507 251 109 2.65 753 404 94 2.55 737 363 107 3.15 373 182 63 2.25 733 333 110 3.45 718 407 68 2.45 692 315 95 3.05 479 201 80...
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. We reject the null hypothesis only when: a. our sample mean is larger than the population mean. b. the p value associated with our test statistic is greater than the significance level of the test we have chosen. c. our sample mean is smaller than the population mean. d. the p value associated with our test statistic is smaller than the significance level of the test we have chosen. 2. In a study of simulated juror decision making, researchers...
SYNOPSIS The product manager for coffee development at Kraft Canada must decide whether to introduce the company's new line of single-serve coffee pods or to await results from the product's launch in the United States. Key strategic decisions include choosing the target market to focus on and determining the value proposition to emphasize. Important questions are also raised in regard to how the new product should be branded, the flavors to offer, whether Kraft should use traditional distribution channels or...