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Mice21 [21]
3 years ago
13

In a study of a particular brand of laptop computer, one group of 9 batteries lasted an average of 17.8 hours before needing rec

harging, and a second group of 11 batteries lasted an average of 18.1 hours. The difference between the two groups was found to be statistically significant. Are the results practically significant? Why or why not?
Yes, because the same brand of computer was used for all of the tests.
Yes, because results that are statistically significant are also practically significant.
No, because the 0.3 hour difference in battery life was small.
No, because there were more batteries in the second group.
Mathematics
2 answers:
Elenna [48]3 years ago
8 0

Answer:

<h2>No, because there were more batteries in the second group.</h2>

Step-by-step explanation:

Practically significance refers to the importance and impact results have in real life, not in a experiment.

The fact that hours change don't mean that have significance in a practical way, because the comparison between groups is not equal due to the differences between the amount of batteries tested. So, the different hours can be implied by the different number of batteries, because the average as a statistical measure changes when the number of elements is different.

Therefore, that difference between groups cannot ensure a practical significance.

german3 years ago
5 0
Yes because the results that are statistically significant are also practically significant
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100/27

Step-by-step explanation:

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When a fraction of 12 is taken away from 17, what remain exceed one-third of seventeen by six.
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X - the fraction

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5 0
3 years ago
Each set of ordered pairs represents a function. Write a rule that represents the function.
malfutka [58]
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4 0
3 years ago
A random sample of 20 recent weddings in a country yielded a mean wedding cost of $ 26,388.67. Assume that recent wedding costs
Makovka662 [10]

Answer:

a) 95% confidence interval for the mean​cost, μ​, of all recent weddings in this country = (22,550.95, 30,226.40)

.The​ 95% confidence interval is from $22,550.95 to $30,226.40.

b) For the interpretation of the result, option D is correct.

We can be​ 95% confident that the mean​ cost, μ​, of all recent weddings in this country is somewhere within the confidence interval.

c) Option B is correct.

The population mean may or may not lie in this​ interval, but we can be​ 95% confident that it does.

Step-by-step explanation:

Sample size = 20

Sample Mean = $26,388.67

Sample Standard deviation = $8200

Confidence Interval for the population mean is basically an interval of range of values where the true population mean can be found with a certain level of confidence.

Mathematically,

Confidence Interval = (Sample mean) ± (Margin of error)

Sample Mean = 26,388.67

Margin of Error is the width of the confidence interval about the mean.

It is given mathematically as,

Margin of Error = (Critical value) × (standard Error of the mean)

Critical value will be obtained using the t-distribution. This is because there is no information provided for the population mean and standard deviation.

To find the critical value from the t-tables, we first find the degree of freedom and the significance level.

Degree of freedom = df = n - 1 = 20 - 1 = 19.

Significance level for 95% confidence interval

(100% - 95%)/2 = 2.5% = 0.025

t (0.025, 19) = 2.086 (from the t-tables)

Standard error of the mean = σₓ = (σ/√n)

σ = standard deviation of the sample = 8200

n = sample size = 20

σₓ = (8200/√20) = 1833.6

99% Confidence Interval = (Sample mean) ± [(Critical value) × (standard Error of the mean)]

CI = 26,388.67 ± (2.093 × 1833.6)

CI = 26,388.67 ± 3,837.7248

99% CI = (22,550.9452, 30,226.3948)

99% Confidence interval = (22,550.95, 30,226.40)

a) 95% confidence interval for the mean​cost, μ​, of all recent weddings in this country = (22,550.95, 30,226.40)

.The​ 95% confidence interval is from $22,550.95 to $30,226.40.

b) The interpretation of the confidence interval obtained, just as explained above is that we can be​ 95% confident that the mean​ cost, μ​,of all recent weddings in this country is somewhere within the confidence interval

c) A further explanation would be that the population mean may or may not lie in this​ interval, but we can be​ 95% confident that it does.

Hope this Helps!!!

4 0
3 years ago
Can I get help please someone
Kamila [148]

Answer:

Step-by-step explanation:

Im pretty sure its A

4 0
3 years ago
Read 2 more answers
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