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SCORPION-xisa [38]
2 years ago
6

A random sample of 28 statistics tutorials was selected from the past 5years and the percentage of students absent from each one

was recorded. The results are given below. Assume the percentage of student's absences are approximately normally distributed. Use Excel to estimate the mean percentage of absences per tutorial over the past 5 years with 90% confidence.
Mathematics
1 answer:
Vesna [10]2 years ago
8 0

Using the t-distribution, the 90% confidence interval for the mean number of absences is given by: (9.22, 11.60).

<h3>What is a t-distribution confidence interval?</h3>

The confidence interval is:

\overline{x} \pm t\frac{s}{\sqrt{n}}

In which:

  • \overline{x} is the sample mean.
  • t is the critical value.
  • n is the sample size.
  • s is the standard deviation for the sample.

The critical value, using a t-distribution calculator, for a two-tailed 90% confidence interval, with 28 - 1 = 27 df, is t = 1.7033.

Researching this problem on the internet, the parameters are given by:

\overline{x} = 10.41, s = 3.71, n = 28.

Hence the bounds of the interval are given by:

  • \overline{x} - t\frac{s}{\sqrt{n}} = 10.41 - 1.7033\frac{3.71}{\sqrt{28}} = 9.22
  • \overline{x} + t\frac{s}{\sqrt{n}} = 10.41 + 1.7033\frac{3.71}{\sqrt{28}} = 11.60

The 90% confidence interval for the mean number of absences is given by: (9.22, 11.60).

More can be learned about the t-distribution at brainly.com/question/16162795

#SPJ1

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Answer:

0.964

Step-by-step explanation:

It's easier to approach this problem if you find the prob. that z is less than -1.8 and then subtract your result from 1.00.

The prob. that z is less than -1.8 can be found using any calculator with probability and statistic functions.

The prob. that z is less than -1.8 = normcdf(-100,-8) = 0.036.  Here "cdf" stands for "cumulative probability density function)," -100 is far to the left of z = -1.8, and the result (0.036) is the area under the standard normal probability density curve to the left of z = -1.8.

Finally, subtract this 0.036 from 1.000, obtaining 0.964.  This is the probability that z is greater than -1.8.

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