The IRS claims that it takes 87 minutes to prepare a tax form. You believe it takes longer than 87 minutes. You ask 21 tax filers and find the following preparation times:
61, 69, 78, 79, 87, 89, 96, 96, 97, 98, 98, 99, 100, 100, 105, 108, 110, 117, 118, 120, 125
Determine if the preparation time is significantly longer than 87 minutes. Use α = .025.
Here we're testing
For this, we'll be using the t-test,
Where the test statistic is given by :
which follows t-distribution with a degree of freedom n-1 under Ho.
Here
.
Thus the test statistic is 2.9466. Now, here we're given
thus the
critical value is
.
Here test statistic is greater than the critical value hence we reject Ho. i.e there is sufficient evidence to support the claim that the mean i is greater than 87.
The IRS claims that it takes 87 minutes to prepare a tax form. You believe it...
Hi, please may I have help with question 10. Thank you!
10. A weather person claims that the average of the highest temps in the U.S. is 98°. A sample of 50 cities is selected and the highest temps are shown below. At a 0.10, can the claim be rejected? Assume o 7.71 97 96 101 98 99 97 99 91 100 98 94 80 87 95 99 98 108 96 93 80 96 95 88 88 98 99 97...
Problem #1: Consider the below matrix A, which you can copy and paste directly into Matlab. The matrix contains 3 columns. The first column consists of Test #1 marks, the second column is Test # 2 marks, and the third column is final exam marks for a large linear algebra course. Each row represents a particular student.A = [36 45 75 81 59 73 77 73 73 65 72 78 65 55 83 73 57 78 84 31 60 83...
1. Forecast demand for Year 4.
a. Explain what technique you utilized to forecast your
demand.
b. Explain why you chose this technique over others.
Year 3 Year 1 Year 2 Actual Actual Actual Forecast Forecast Forecast Demand Demand Demand Week 1 52 57 63 55 66 77 Week 2 49 58 68 69 75 65 Week 3 47 50 58 65 80 74 Week 4 60 53 58 55 78 67 57 Week 5 49 57 64 76 77...
Question 9-15 are based on the random sample below which is obtained to test the following hypothesis about the population mean. Test the hypothesis that the mean is less than 80. 80 100 81 93 80 57 98 90 71 56 58 78 59 55 55 77 72 78 56 94 98 59 93 86 89 62 60 66 59 71 96 97 94 69 64 77 87 77 64 90 90 95 98 99 56 69 72 81 95...
How to solve this USING SAS EG? THANKS Automobile collisions: The number of collision claims (COLLISION) reported for 1984-1986 cars are listed for 9 car categories: small two-door, midsized two-door, large two-door, small four-door, midsized four-door, large four-door, small station wagons and vans, midsized station wagons and vans, large station wagons and vans.. a. In excel convert the data to the format which is appropriate for SAS EG (the data should have 2 columns with names CARCLAS and CRASH). b....
The data from data95.dat contains information on 78 seventh-grade students. We want to know how well each of IQ score and self-concept score predicts GPA using least-squares regression. We also want to know which of these explanatory variables predicts GPA better. Give numerical measures that answer these questions. (Round your answers to three decimal places.) (Regressor: IQ) R 2 : (Regressor: Self-Concept) R 2 : Which variable is the better predictor? IQSelf Concept obs gpa iq gender concept 1 7.94...
Write a C program to assign natural numbers 1 to 100 into a one-dimensional integer array. Display all the values in the array on the screen. For each number in the array, determine if the number contains digit 7 or is divisible by 7. Display all those numbers on the screen. Original array: 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27...
Use the accompanying data set on the pulse rates (in beats per minute) of males to complete parts (a) and (b) below. LOADING... Click the icon to view the pulse rates of males. a. Find the mean and standard deviation, and verify that the pulse rates have a distribution that is roughly normal. The mean of the pulse rates is 71.871.8 beats per minute. (Round to one decimal place as needed.) The standard deviation of the pulse rates is 12.212.2...
Here is your (discrete) data 108 83 93 118 88 58 88 65 113 103 119 101 91 92 95 86 85 73 94 61 121 71 116 78 114 119 118 131 41 70 68 98 202 155 41 93 78 96 93 110 100 61 98 39 94 86 108 75 64 50 90 123 109 69 118 85 102 86 153 109 89 134 80 104 96 129 48 81 102 31 97 130 98 105 109...
Problem 8.4: Refer to Muscle Mass Problem 1.27. Second-order regression model (8.2) with independent normal error terms is expected to be appropriate. A. Fit regression model (8.2). Plot the fitted regression function and the data. Does the quadratic regression function appear to be a good fit here? Find R^2. B. Test whether or not there is regression relation; use α= .05. State the alternatives, decision rule and conclusion. C. Estimate the mean muscle mass for women aged 48...