Answer:
D
-3 * (-4) matches, as well as the powers (I guess you wanted to communicate that these are powers, but it would also be correct if these where factors)
Answer:
D. Chi-square test for two-way table
Step-by-step explanation:
To test if there is an association between the percentage of people that successfully stop smoking and the method they used to do so, a random sample of 584 smokers who tried to quit smoking and was orted by the method they used to help themselves to achieve their goal (nicotine-patch or e-cigarettes). After six months, the proportion of subjects that successfully stopped smoking.
In this case, the t-test is not applicable, this statistic is to test the population mean. The variable of the study is the proportion of people that successfully stopped smoking using either method.
To apply Chi-Square tests the condition to be met is that the variable is categorizable and since the data can be organized in a 2x2 table, all expected frequencies should be >5.
The objective of the Goodness-to-fit test is to test if a population follows a certain theoretical model.
In this example, the objective is to compare the proportion of people that successfully quit smoking and the proportion of people that failed by using either method.
Step-by-step explanation:
Since the ratio of monthly income to savings of the family is 7:2, we assume that the income be 7t and savings be 2t
Now, we are given that the savings is =Rs 500
So, According to our assumption, 2t=500
⇒t=250
Hence, the income of the family is =7×250=Rs 1750
And the expenditure is =Income−Savings
=Rs 1750−Rs 500
=Rs 1250
It moves the graph 5 steps downwards on the y axis.