Alightbulb manufacturer wants to estimate the total number of defective bulbs contained in all of the boxes shipped by the company during the past week. production personnel at this company have recorded the number of defective bulbs found in each of 50 randomly selected boxes shipped during the past week. these data are provided in the file p08_12.xlsx. calculate a 95% confidence interval for the total number of defective bulbs contained in the 1000 boxes shipped by this company during the past week. hint: note that sample size is 50 and population size is 1000. the question is asking for a confidence interval for a total.

we are 95% confident that the total number of defective bulb

contained in the 1000 boxes shipped by this company is between 195.5 and 644.5

Step-by-step explanation:

The sample size n = 50

The population size N= 1000

The number of defective in the sample is 21.

Sample mean x bar= 21/50

=0.42

The standard deviation (sigma) is = 0.81

Calculating the confidence interval

By checking the attached picture below.

step-by-step explanation:

if you want to solve percent error follow these steps.

1. subtract the accepted value from the experimental value.

2. take the absolute value of step 1.

3. divide that answer by the accepted value.

4. multiply that answer by 100 and add the % symbol to express the answer as a percentage.

if you want to solve percent of change just do this.

1. work out the difference (increase) between the two numbers you are comparing.

2. divide the increase by the original number and multiply the answer by 100. if your answer is a negative number then this is a percentage decrease.

hope this : )

the answer is:

mean: 6

mad: 2.14