Answer:x>-1
Step-by-step explanation:
Answer:
I think the answer is
Step-by-step explanation:
1/9, 1/2, 0.35, 0.25, 0.1
Answer:
Because it increases the risk of Type 1 error
Step-by-step explanation:
ANOVA is the analysis of the variance .
When comparing more than two treatment means we use ANOVA because a t test increases the risk of type 1 error .
For example if we wish to compare 4 population means there will be 4C2 = 6 separate pairs and to test the null hypothesis that all four population means are equal would require six two sample t test. Similarly to test 10 population mean would require 45 separate two sample t test.
This has two disadvantages .
First the procedure is too lengthy and tediuos.
Second the overall level of significance greatly increases as the number of t- tests increases.
The analysis of the variance compares two different estimates of variance using the F distributionto determine whether the population means are equal.
Answer:
135/4
Step-by-step explanation:
That's 45 divided by 4/3, which is 45 times 3/4, which is 135/4
The statements that are true about this study are:
- This study uses random sampling.
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This study uses a control group.
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This study uses a repeated measures design.
Random sampling occurs when each sample has an equal probability of being chosen in a study.
This is seen in the random selection of 100 children. The Control group was used with the first group that had no screen time.
The repeated measures design was also used when multiple measurements were taken during different weeks.
Learn more about experiments here:
brainly.com/question/17216882
