Question

the following data represent the projection times of the films produced by two cinematographic companies. Company...

the following data represent the projection times of the films produced by two cinematographic companies.

Company 1 102 86 98 109 87 100
Company 2 81 165 97 134 87 114

Find a confidence interval for the average projection time differences of the films produced by company 1 and company 2. Use a significance level of 0.10 and assume that the distribution is normal.

Homework Answers

Answer #1
Average Std. Dev
Company 1 102 86 98 109 87 100 97 8.944272
Company 2 81 165 97 134 87 114 113 31.9437

here

we have to find the confidence interval for  the average projection time differences of the films produced by company 1 and company 2

here degree of freedom = 6

= + - tcritical sqrt [s12/n1 + s22/n2]

= (97 - 113) +- 1.9432 * sqrt [8.94432/6 + 31.94372/6]

= -16 +- 1.9432 * 13.5425

= (-42.3156, 10.3156)

so here as the confidence interval consists value of zero so we say that there is no significant average projection time differences of the films produced by company 1 and company 2

Know the answer?
Your Answer:

Post as a guest

Your Name:

What's your source?

Earn Coins

Coins can be redeemed for fabulous gifts.

Not the answer you're looking for?
Ask your own homework help question
Similar Questions
The following data represent the battery life times manufactured by two different companies A B 109...
The following data represent the battery life times manufactured by two different companies A B 109 134 92 92 102 87 86 114 92 81 165 97 We want to prove that the average duration of the batteries manufactured by company A is less than those manufactured by company B at a level of significance of 0.01 in the two ways described below: a) Calculating the value of the test statistic and comparing it with the critical value for the...
The two companies produced the production of a plastic part used in automobile production. Operate. This...
The two companies produced the production of a plastic part used in automobile production. Operate. This plastic piece is subject to wear during use. Therefore, it is desired to compare the amount of wear of plastic parts produced by the two companies. Friction wear was applied by taking samples of 25 units randomly from both companies and after 1000 cycles wear amounts were observed. Average wear rate of 20 mg / 1000 cycles for the first company and standard deviation...
Refer to the accompanying data set of mean​ drive-through service times at dinner in seconds at...
Refer to the accompanying data set of mean​ drive-through service times at dinner in seconds at two fast-food restaurants. Construct a 95​% confidence interval estimate of the mean​ drive-through service time for Restaurant X at​ dinner; then do the same for Restaurant Y. Compare the results. Restaurant X Restaurant Y 85 85 116 116 118 118 146 146 270 270 100 100 124 124 156 156 118 118 176 176 184 184 125 125 154 154 166 166 211 211...
The following data represent quantities of tea leaf pluckings (tender shoots from tea plants) from sixteen...
The following data represent quantities of tea leaf pluckings (tender shoots from tea plants) from sixteen different plots of tea bushes intended for experimental use in Ceylon, a type of tea from Sri Lanka. The tea bushes are randomly divided into four different treatment groups. Experimenters wish to determine if the mean number of pluckings differs among the four treatments. Test this using 5% significance, assuming that these samples are drawn from normal populations with equal variances. Treatment 1 Pluckings...
The proportions of defective parts produced by two machines were compared, and the following data were...
The proportions of defective parts produced by two machines were compared, and the following data were collected. Determine a 98% confidence interval for p1 - p2. (Give your answers correct to three decimal places.) Machine 1: n = 153; number of defective parts = 9 Machine 2: n = 155; number of defective parts = 9 Lower Limit - Upper Limit -
Open Three Hospitals data. SETUP: It is believed that the number of injuries recorded in hospital...
Open Three Hospitals data. SETUP: It is believed that the number of injuries recorded in hospital 1 is different from the number of injuries recorded in hospital 2. Given the data your job is to confirm or disprove this assertion. 10. What test/procedure did you perform? (4 points) a. Regression b. Two sided t-test c. One sided t-test d. Confidence Interval 11. What is the statistical interpretation? (4 points) a. Average of data is inconsistent with the claim b. P-value...
Ten randomly selected people took an IQ test A, and next day they took a very...
Ten randomly selected people took an IQ test A, and next day they took a very similar IQ test B. Their scores are shown in the table below. Person A B C D E F G H I J Test A 95 125 100 114 99 91 110 87 73 104 Test B 97 125 102 116 99 90 112 89 75 104 1. Consider (Test A - Test B). Use a 0.010.01 significance level to test the claim that...
Pat.# Before After 1 195 125 To the left is 2 datasets measured for a sample...
Pat.# Before After 1 195 125 To the left is 2 datasets measured for a sample of 107 patients with the high cholesterol level before and after taking medication. Obtain the following for both sets: 2 208 164 3 254 152 1- the mean, mode and median 4 226 144 5 290 212 2- the variance and standard deviation 6 239 171 7 216 164 3- First, second and third quartiles 8 286 200 9 243 190 10 217 130...
Many standard statistical methods that you will study in Part II of this book are intended...
Many standard statistical methods that you will study in Part II of this book are intended for use with distributions that are symmetric and have no outliers. These methods start with the mean and standard deviation, x and s. For example, standard methods would typically be used for the IQ and GPA data here data215.dat. (a) Find x and s for the IQ data. (Round your answers to two decimal places.) s= Here are the numbers obs gpa iq gender...
The following data represent soil water content (percentage of water by volume) for independent random samples...
The following data represent soil water content (percentage of water by volume) for independent random samples of soil taken from two experimental fields growing bell peppers. Soil water content from field I: x1; n1 = 72 15.2 11.3 10.1 10.8 16.6 8.3 9.1 12.3 9.1 14.3 10.7 16.1 10.2 15.2 8.9 9.5 9.6 11.3 14.0 11.3 15.6 11.2 13.8 9.0 8.4 8.2 12.0 13.9 11.6 16.0 9.6 11.4 8.4 8.0 14.1 10.9 13.2 13.8 14.6 10.2 11.5 13.1 14.7 12.5...