Q2. A large company buys thousands of light bulbs every year. The company is currently considering three brands of light bulbs to choose from. Before the company decides which light bulbs to buy, it wants to investigate if the mean lifetimes of the three types of light bulbs are the same. The company's research department randomly selected a few bulbs of each type and tested them. The following table lists the number of hours (in thousands) that each of the bulbs in each brand lasted before being burned out. Brand I 20 24 Brand II 22 23 Brand III 23 24 18 21 20 25 *indicates a value obtained from the 4th and 5th digits of your ID. At 5% significance level, test the null hypothesis that the mean lifetime of bulbs for each of three brands is the same. Also Construct ANOVA table mentioning all necessary columns for this example,

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22. A large company buys thousands of light bulbs every year. The company is currently considering
three brands of light bulbs to choose from. Before the company decides which light bulbs to buy,
it wants to investigate if the mean lifetimes of the three types of light bulbs are the same. The
company's research department randomly selected a few bulbs of each type and tested them. The
following table lists the number of hours (in thousands) that each of the bulbs in each brand lasted
before being burned out.
Brand I
Brand II
Brand III
20
22
23
24
23
24
18
21
20
25
*indicates a value obtained from the 4th and 5th digits of your ID.
At 5% significance level, test the null hypothesis that the mean lifetime of bulbs for each of
three brands is the same. Also Construct ANOVA table mentioning all necessary columns
for this example.
Transcribed Image Text:22. A large company buys thousands of light bulbs every year. The company is currently considering three brands of light bulbs to choose from. Before the company decides which light bulbs to buy, it wants to investigate if the mean lifetimes of the three types of light bulbs are the same. The company's research department randomly selected a few bulbs of each type and tested them. The following table lists the number of hours (in thousands) that each of the bulbs in each brand lasted before being burned out. Brand I Brand II Brand III 20 22 23 24 23 24 18 21 20 25 *indicates a value obtained from the 4th and 5th digits of your ID. At 5% significance level, test the null hypothesis that the mean lifetime of bulbs for each of three brands is the same. Also Construct ANOVA table mentioning all necessary columns for this example.
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