Suppose a researcher wants to investigate the mean number of hours worked per week by female in this Caribbean island. It is believed that women work no more than 40 hours per week. Assuming the respondents in the labour force dataset represents a random sample of respondents in this country, used the statistics calculated (in the image attached) to test this claim made about women in this country Make sure to state the null and alternative hypotheses both in words and statistical notation Formulate decision rules Calculate the appropriate test statistics making sure to indicate the formula that you are using State the conclusion in the context of this situation table(rsession$SEX, rsession$Hours.worked.per.week) Number of hours worked 16 18 20 24 30 32 35 36 40 45 46 48 50 56 60 65 70 72 99 Female 1 1 1 4 0 2 0 1 75 7 2 9 7 2 10 0 0 3 0 Male 3 0 1 1 5 2 1 0 49 4 0 10 4 0 8 1 1 1 3 mean(rsession$Hours.worked.per.week) 43.43379 female 44.09574 male sd(rsession$Hours.worked.per.week) 9.270787 female 14.214992 mal
Suppose a researcher wants to investigate the mean number of hours worked per week by female in this Caribbean island. It is believed that women work no more than 40 hours per week. Assuming the respondents in the labour force dataset represents a random sample of respondents in this country, used the statistics calculated (in the image attached) to test this claim made about women in this country
Make sure to state the null and alternative hypotheses both in words and statistical notation
Formulate decision rules
Calculate the appropriate test statistics making sure to indicate the formula that you are using
State the conclusion in the context of this situation
table(rsession$SEX, rsession$Hours.worked.per.week)
Number of hours worked | 16 | 18 | 20 | 24 | 30 | 32 | 35 | 36 | 40 | 45 | 46 | 48 | 50 | 56 | 60 | 65 | 70 | 72 | 99 |
Female | 1 | 1 | 1 | 4 | 0 | 2 | 0 | 1 | 75 | 7 | 2 | 9 | 7 | 2 | 10 | 0 | 0 | 3 | 0 |
Male | 3 | 0 | 1 | 1 | 5 | 2 | 1 | 0 | 49 | 4 | 0 | 10 | 4 | 0 | 8 | 1 | 1 | 1 | 3 |
mean(rsession$Hours.worked.per.week)
43.43379 female
44.09574 male
sd(rsession$Hours.worked.per.week)
9.270787 female
14.214992 male
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