Answer:
<h3>In an independent groups experiment, if we must estimate the population standard deviation to determine the significance of the sample results, the appropriate inference test is the<u> t test</u></h3>
Step-by-step explanation:
In an independent groups experiment, if we must estimate the population standard deviation to determine the significance of the sample results, the appropriate inference test is the<u> </u><u>t test</u>
<h3>For :</h3>
- A t-test is one of the methods of a statistic and is used to determine if there is a significant difference between the two groups of their means based on a sample in data.
- The statistical significance is determined by the difference between the averages of group size , the sample size, and standard deviations of the groups.
<h3>Therefore option c) t test is correct</h3>
Answer:
1.8% or 1.818181%
Step-by-step explanation:
If in a batch of 440 water purifiers, we find 8 to be defective.
Then the probability of the next purifier being defective is 8/440
In percentage = 8/440 * 100
=> 8/44 * 10
=> 8/22 * 5
=> 40/22
=> 20 / 11
20/11 is roughly 1.8181818
Rounding it to the nearest tenth, we get 1.8%
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The minimum score was 70.
On a box-and-whisker, the dot on the left end is the lowest value.
The first line on the left is the lower quartile.
The second line is the median.
The third line is the upper quartile.
And finally, the dot on right end is the highest value.
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