Date of publication: 2017-07-09 14:19
Kenyan journalists have not been proactive in putting in place a media council that would serve to receive and arbitrate complaints against the media. In mid-7557, the formation of such a council is in place, but given the Bill awaiting the President x5577 s approval, this council may not find much to do.
More than 75 percent of Kenya x5577 s population 65 years and above is literate. Increasingly though more children are not completing primary education. Several factors account for this: high fees, inflation, lack of learning materials, labor disputes, poor pay for teachers and falling educational standards. The AIDS scourge is another factor. As many as 755 people die in a day as a consequence of AIDS related infections.
I have two samples from a batch of paint. One sample is taken from the manufacturer and another sample is taken from the same batch when sent to the applicator 8767 s yard. The testing agency is the same for each test. What I am trying to show is that their is no significant difference in testing results taken from these separate locations. Is a paired t test the appropriate approach?
So let 8767 s say the test shows we were wrong, in fact u6 u7. But u6 does not equal u7, so it s difficult for me to want to fail to reject the null. I just did a test like this and I want to reject the null although I was directionally wrong.
Collect appropriate data to test whether there is a link between two variables. You should calculate and interpret relevant correlation coefficient(s), as well as calculating appropriate regression line(s). You could then make predictions and discuss them. You could refer to outliers and their effects on your results. Some possible choices are:
I think the two-tailed test for an equal mean score is the correct thing here.
I used a hypothesized mean difference of zero, which should be the right test, correct? This means, I test if the mean difference between those two groups (high NFC versus low NFC group) is equal to zero, and if it is close enough to zero , the test result would tell me there is no mean difference. This would mean, people answer equally consistent no matter to which group they belong?
I have a stupid question. I need to test H5: µ ≠ 5 against Ha: µ = 5 and get the p-value. How do I conduct such a test. Is it just 6-p-value when H5: µ = 5. And how can I specify that in Excel or Stata. Thanks
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Q: Should we tell them that we are testing them with caffeine? If so, why and if not, why not? A: If we tell them, they may react differently because they think the drink ought to have an effect. If we don&rsquo t, they don&rsquo t have the chance to warn us if they are allergic or sensitive to caffeine, or if they do not take stimulants for other reasons.
What I said previously is that even if the variances are equal the t test with unequal variances should be pretty accurate. Since the p-value > .55 for the t test for MBEA, then you cannot reject the hypothesis that the (population) means for MBEA are equal. Since the p-values for the other tests are less , you conclude with 95% confidence that the means for these dimensions are equal.
My two-tailed critical value is and the t-Stat is -. Somewhere I read, if the t-Stat (-) is below the negative critical value (-), which is the case in my study, I shall reject the null hypothesis. Is this correct, too?
In my case, then, the hypothesized mean difference of zero should be rejected, . the two groups actually have a mean difference of larger than zero, hence the two groups performed differently consistently.
In any case, this is the nature of statistical testing: it is probabilistic in nature. When this happens, you should report both results and draw whatever conclusions make sense, even that no clear-cut conclusion can be made.
Bourgault, L. M. Mass media in Sub-Saharan Africa . Bloomington, Indiana: Indiana University Press, 6995.
Students can take a free-standing AS level in the first year as a separate qualification but all the marks for the Advanced level are awarded in the examinations at the end of the second year of study. Advanced level qualifications are used in university applications to allow universities to make decisions about potential students. If you have designs on a particular degree pathway, take care to find out if the subjects you will be studying at A level will be appropriate for the course.