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Are you struggling to understand the rule or having issues applying it to questions?i need help in cosine rule

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Having issues finding your reply between all the ads xDAre you struggling to understand the rule or having issues applying it to questions?

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That was not in the options!Having issues finding your reply between all the ads xD

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Can you please provide an example question?I have a doubt. How do you know when to use what in the Further Stat questions??? Esp. hypothesis-testing!

For example :Can you please provide an example question?

A college careers officer investigates the income at age 24 of a group of students who left school at 16, and a group who stayed on to take their A-Levels.

The results he finds are summarized in the table.

16-year-old leavers | A-Level leavers | |

Mean | 156 | 164 |

Sample estimate of variance | 673 | 593 |

Sample size | 37 | 28 |

Show, using a 2-sample t-test, that the hypothesis that those staying on at school have higher incomes at age 24 is rejected, on the evidence of this sample.

can someone please help with this...?For example :

A college careers officer investigates the income at age 24 of a group of students who left school at 16, and a group who stayed on to take their A-Levels.

The results he finds are summarized in the table.

Show, using a 2-sample t-test, that the hypothesis that those staying on at school have higher incomes at age 24 is rejected, on the evidence of this sample.

16-year-old leavers A-Level leavers Mean 156 164 Sample estimate of variance 673 593 Sample size 37 28

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To test the hypothesis, we generally need to find theFor example :

A college careers officer investigates the income at age 24 of a group of students who left school at 16, and a group who stayed on to take their A-Levels.

The results he finds are summarized in the table.

Show, using a 2-sample t-test, that the hypothesis that those staying on at school have higher incomes at age 24 is rejected, on the evidence of this sample.

16-year-old leavers A-Level leavers Mean 156 164 Sample estimate of variance 673 593 Sample size 37 28

If \(p>0.05\), this means that the mean values have no difference and the hypothesis is rejected.

Substituting your values in this online calculator, we get \(z=-1.275\) and \(p=0.1036\) and since \(p\) is greater than \(0.05\), we can say the hypothesis is rejected.

Thank you soo much! That's exactly what the marking scheme says so you are perfectly correct! Cheers!To test the hypothesis, we generally need to find thez-scorealso known asTest Statisticand then use it to find thep-value.

If \(p>0.05\), this means that the mean values have no difference and the hypothesis is rejected.

Substituting your values in this online calculator, we get \(z=-1.275\) and \(p=0.1036\) and since \(p\) is greater than \(0.05\), we can say the hypothesis is rejected.

P.S. I am not 100% sure about this so please take this with a grain of salt.