owing figures represent the number of positive signals of water availability from an under exploration location for twenty different tests.   20   14    21   29    43    17    15    26     8    14  39   23   16    46    28    11    26    35   26    28   Using a 5% significanc

MATLAB: An Introduction with Applications
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  • The following figures represent the number of positive signals of water availability from an under exploration location for twenty different tests.

 

20   14    21   29    43    17    15    26     8    14 

39   23   16    46    28    11    26    35   26    28

 

  • Using a 5% significance level, test the hypothesis that the mean of the positive signals is more than 20.
  • Using a 5% significance level, test the hypothesis that the mean of the positive signals is different from 20.
Expert Solution
Step 1

a).

The raw data is given to us. Hence, first we need to find the Mean and Standard deviation of this sample. I will use EXCEL to obtain mean and standard deviation.

Use the formula "=AVERAGE( Range of data set)" in Excel to obtain the mean of the sample. The answer obtained is 24.25
Use the formula "=STDEV.S( Range of data set)" in Excel to obtain the standard deviation of the sample. The answer obtained is 10.5225.

The snips are as follows;

Statistics homework question answer, step 1, image 1

Statistics homework question answer, step 1, image 2

Hence, now we have

x¯=sample mean=24.25s=sample standard devitaion=10.5225μ=population mean=20n=sample size=20

The null hypothesis states that mean is equal to 20, whereas the alternative hypothesis states that mean is greater than 20. Symbolically it is represented as,

H0:μ=20Ha:μ>20

Hence, we see that it is right tailed test.

NOTE: As the population standard deviation is not provided, we will use the t-test, because t-test is executed when the population standard deviation is unknown.

The formula and calculations for the t-test statistic is as follows;

t=x¯-μsn  =24.25-2010.522520  =1.8062  1.81

Now, we need to calculate the degrees of freedom. It is calculated as;

df=n-1=20-1=19

We have significance level, i.e, α=5%=0.05

Now, we need to obtain the p-value. Observe t=1.81 and df=19 in the t-statistical table to obtain the p-value.
For left tailed, The answer obtained is 0.0431.

The decision rule states that if the p-value is less than the significance level, then we reject the null hypothesis.

In this case, 0.0431<0.05, hence we Reject the null hypothesis.
It is then concluded that the mean of the positive signals is more than 20.

 

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