Hivaclibtibcharkwa
𝗕𝗶𝗼𝗹𝗼𝗴𝘆 𝗧𝘂𝘁𝗼𝗿
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The null hypothesis is always an equality. The reason for this is computation.Can someone help me with these question, like with question b would the null hypothesis be that it’s less than 70 or would the alternative hypothesis say that?
Ah sorry just realised I didn’t put in the imaheThe null hypothesis is always an equality. The reason for this is computation.
Because the definition p-value is
p-value = P(getting test statistic that is more contradictory or equally contradictory to the null hypothesis | H0 )
It may help to read Probability and Statistics for Engineering Sciences by Jay L. Devore
It will explain things in more detail
So give the question a go first and I will check the working out.Ah sorry just realised I didn’t put in the imahe
Can it also be the greater than or equal to symbol?The null hypothesis is always an equality. The reason for this is computation.
Because the definition p-value is
p-value = P(getting test statistic that is more contradictory or equally contradictory to the null hypothesis | H0 )
It may help to read Probability and Statistics for Engineering Sciences by Jay L. Devore
It will explain things in more detail
So if you haveCan it also be the greater than or equal to symbol?
3:37 of this video
IIRC to determine null and alternative hypothesis the alternative hypothesis is when this statement is true null hypothesis is when it is not.Can someone help me with these question, like with question b would the null hypothesis be that it’s less than 70 or would the alternative hypothesis say that?View attachment 35496
I believe for accuracy you should put a tilde above because is the boundary condition for the question. Like thisSo give the question a go first and I will check the working out.
In this case
H0: mean_weight = 70
Ha: mean_weight <= 70.
Now one-tailed test. That is where you need to know what the alternative hypothesis is pointing at and then you will have the P-value pointing in the same direction towards the test statistic which would be found using a modified z-score technique.In general, we reject the null hypothesis if the p-value is less than the significance level α.
If the alternative hypothesis contains the not‐equal‐to symbol (≠), the hypothesis test is a two‐tailed test. Otherwise, all other tests are one-tailed.
If needed, below are solutions to each part, based on the above information. As cossine mentioned, definitely try to attempt the question(s) first to see if you can apply your understanding in your working:
Part (a):
Suppose is the average age of Sydney residents; then is , and is . Note that this is a one-tailed hypothesis test. Here, the p-value 0.0170 is less than the significance level . So we reject the null hypothesis.
Conclusion: this sample information does indicate that the mean age in Sydney has increased from 35 years.
Part (b):
Let be the average weight of this population; then is , and is . This is a one-tailed test. The standard deviation of weights in this population is . Here, the p-value 0.001 is less than the significance level . So we reject the null hypothesis.
Conclusion: the sample data do provide enough evidence for us to conclude that the mean weight for the population is less than 70 kg.
Part (c):
Let be the average IQ score of this population; then is , and is . This is a two-tailed test. Here, the p-value 0.095 is greater than the significance level . So we do not reject the null hypothesis.
Conclusion: on the basis of these data, we cannot conclude that the mean IQ score for this population is not 100.
I hope this helps!
I have never seen such notation before. Do you have a reference?I believe for accuracy you should put a tilde above because is the boundary condition for the question. Like this