Question 13 Marks
A group of 5 patients treated with medicine A weigh $10,8,12,6,4 kg$. A second group of 7 patients treated with medicine B weigh $14,12,8,10,6,2,11 kg$. Comment on the rejection of hypothesis with $5 \%$ level of significance.
[Given: $t _{(10,0.05)}=1.812$ ]
[Given: $t _{(10,0.05)}=1.812$ ]
Answer
View full question & answer→A group of 5 patients treated with medicine A weigh $10,8,12,6,4 kg$. A second group of 7 patients treated with medicine B weigh $14,12,8,10,6,2,11 kg$. Comment on the rejection of hypothesis with $5 \%$ level of significance.
$\left[\right.$ Given: $\left.t _{(10,0.05)}=1.812\right]$
Consider,
$
\begin{array}{l}
H_0: \mu_1=\mu_2 \text { and } \\
H_1: \mu_1>\mu_2
\end{array}
$
Where $\mu_1$ and $\mu_2$ denotes population means for the given two groups.
for Medicine A
$
\bar{x}=\frac{\sum x}{n}=\frac{40}{5}=8
$
For Medicin B
$
\bar{y}=\frac{\sum y}{n}=\frac{63}{7}=9
$
$
\begin{array}{l}
\text { Now, } S^2=\frac{1}{n_1+n_2-2}\left[\sum(x-\bar{x})^2+\sum(y-\bar{y})^2\right] \\
S^2=\frac{1}{5+7-2}[40+98] \\
S^2=\frac{1}{10} \times 138=13.8 \\
S=\sqrt{13.8}=3.71 \\
t=\frac{\bar{x}-\bar{y}}{s \sqrt{\frac{1}{n_1+\frac{1}{n_2}}}} \\
t=\frac{8-9}{3.71 \sqrt{\frac{1}{5}+\frac{1}{7}}} \\
t=\frac{-1}{3.71 \sqrt{\frac{7+5}{35}}} \\
t=\frac{-1}{3.71 \sqrt{\frac{12}{35}}} \\
t=\frac{-1}{3.71 \times 0.58} \\
t=-0.46
\end{array}
$
Given: $t _{(10,0.05)}=1.812$
Since, $t _{\text {cal. }}$, value $< t _{ tab }$ value
Hence null hypothesis $H _0$ may be accepted with $5 \%$ significance.
$\left[\right.$ Given: $\left.t _{(10,0.05)}=1.812\right]$
Consider,
$
\begin{array}{l}
H_0: \mu_1=\mu_2 \text { and } \\
H_1: \mu_1>\mu_2
\end{array}
$
Where $\mu_1$ and $\mu_2$ denotes population means for the given two groups.
for Medicine A
$
\bar{x}=\frac{\sum x}{n}=\frac{40}{5}=8
$
| x | 10 | 8 | 12 | 6 | 4 | sum x=40 |
| $x-\bar{x}$ | 2 | 0 | 4 | -2 | -4 | 0 |
| $(x-\bar{x})^2$ | 4 | 0 | 16 | 4 | 16 | $\sum(x-\bar{x})^2=40$ |
$
\bar{y}=\frac{\sum y}{n}=\frac{63}{7}=9
$
| y | 14 | 12 | 8 | 10 | 6 | 2 | 11 | sum y=63 |
| $y-\bar{y}$ | 5 | 3 | -1 | 1 | -3 | -7 | 2 | 0 |
| $(y-\bar{y})^2$ | 25 | 9 | 1 | 1 | 9 | 49 | 4 | $\sum(y-\bar{y})^2=98$ |
\begin{array}{l}
\text { Now, } S^2=\frac{1}{n_1+n_2-2}\left[\sum(x-\bar{x})^2+\sum(y-\bar{y})^2\right] \\
S^2=\frac{1}{5+7-2}[40+98] \\
S^2=\frac{1}{10} \times 138=13.8 \\
S=\sqrt{13.8}=3.71 \\
t=\frac{\bar{x}-\bar{y}}{s \sqrt{\frac{1}{n_1+\frac{1}{n_2}}}} \\
t=\frac{8-9}{3.71 \sqrt{\frac{1}{5}+\frac{1}{7}}} \\
t=\frac{-1}{3.71 \sqrt{\frac{7+5}{35}}} \\
t=\frac{-1}{3.71 \sqrt{\frac{12}{35}}} \\
t=\frac{-1}{3.71 \times 0.58} \\
t=-0.46
\end{array}
$
Given: $t _{(10,0.05)}=1.812$
Since, $t _{\text {cal. }}$, value $< t _{ tab }$ value
Hence null hypothesis $H _0$ may be accepted with $5 \%$ significance.

