Suppose that you have to decide if the mean of the light bulbs last longer than
ID: 3263077 • Letter: S
Question
Suppose that you have to decide if the mean of the light bulbs last longer than 150 hours. You choose a random sample of 12 bulbs of each brand. What decision should you make at the 5% significance level (alpha = 0.05)?128 189 139 148 186 141 163 101 195 142 174 114
a. Z test one population
b. Z test two population
c. T test two population
d. T one population
Suppose that you have to decide if the mean of the light bulbs last longer than 150 hours. You choose a random sample of 12 bulbs of each brand. What decision should you make at the 5% significance level (alpha = 0.05)?
128 189 139 148 186 141 163 101 195 142 174 114
a. Z test one population
b. Z test two population
c. T test two population
d. T one population
Suppose that you have to decide if the mean of the light bulbs last longer than 150 hours. You choose a random sample of 12 bulbs of each brand. What decision should you make at the 5% significance level (alpha = 0.05)?
128 189 139 148 186 141 163 101 195 142 174 114
a. Z test one population
b. Z test two population
c. T test two population
d. T one population
Explanation / Answer
here n=sample size=12 , significance level = 0.05
Both option a.) Z test one population and b.) Z test two population are use when the population standard deviation are known
in these example n=sample size=12 , and population standard deviation are not known hence both the option
a.) Z test one population and b.) Z test two population are wrong
in option c) is use when standard deviation are not known but these T test two population is for checking wheather equality of two population means hence option c.) is wrong .
d.) T test one population is correct option. Because here one sample test concerning mean . here in these example n= sample size=12 , population standard deviation are not known and these is single samle data hence
option ( d.) T test one population is correct answer
the final answer option d.) T test one population is correct answer.
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