standard normal sscurve P(Z le t) =0.9

In summary: I am not sure how to make the tikz match the information.The standard normal curve has a mean of 0 and a standard deviation of 1. It is what $Z$ represents.Consequently we use \gauss{0}{1} to specify the corresponding curve.The domain is then from $z=-\infty$ up to $z=1.282$ so that we get the desired probability of $0.9$.A value of $-\infty$ does not fit in the graph though, so instead we pick a range that gives a nice graph.Let's say we start from $z=-3$ and go up to a maximum of $z=+
  • #1
karush
Gold Member
MHB
3,269
5
b 90\% of the insects die after t hours.
(i) Represent this information on a standard normal curve diagram, indicating clearly the area representing 90\%
(ii) Find the value of \textbf{t}. $P(Z\le t) =0.9\quad Z = 1.282\quad t=57+(4.4(1.282))=62.64$ hours

\begin{tikzpicture}[scale=0.6]
%preamble \usepackage{pgfplots}
\newcommand\gauss[2]{1/(#2*sqrt(2*pi))*exp(-((x-#1)^2)/(2*#2^2))} % Gauss function, parameters mu and sigma
\begin{axis}[every axis plot post/.append style={
mark=none,samples=50,smooth}, % All plots: 50 samples, smooth, no marks
axis x line*=bottom, % no box around the plot, only x axis
axis y line=none, % the * suppresses the arrow tips
enlargelimits=upper, % extend the axes a bit to the right and top
domain=-2:3, % Default for all plots: from -4:4
xtick={-.455,.9},
xticklabels={$-.455$,$.9$},
width=10cm,
height=4cm]
\addplot [fill=gray!30, draw=none, domain=-0.45:0.655] {\gauss{-0.455}{0.9}} \closedcycle;
\addplot {\gauss{-0.455}{0.9}};
\end{axis}
\end{tikzpicture}

ok I could't get this tikz to match the information
 
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  • #2
karush said:
b 90\% of the insects die after t hours.
(i) Represent this information on a standard normal curve diagram, indicating clearly the area representing 90\%
(ii) Find the value of \textbf{t}. $P(Z\le t) =0.9\quad Z = 1.282\quad t=57+(4.4(1.282))=62.64$ hours

ok I could't get this tikz to match the information
The standard normal curve has a mean of 0 and a standard deviation of 1. It is what $Z$ represents.
Consequently we use \gauss{0}{1} to specify the corresponding curve.

The domain is then from $z=-\infty$ up to $z=1.282$ so that we get the desired probability of $0.9$.
A value of $-\infty$ does not fit in the graph though, so instead we pick a range that gives a nice graph.
Let's say we start from $z=-3$ and go up to a maximum of $z=+3$.
Then the domain of the full graph is [domain=-3:3] and the domain of the part that we want to fill is [domain=-3:1.282]

If we fill that in, we get:
\begin{tikzpicture}[scale=0.6]
%preamble \usepackage{pgfplots}
\newcommand\gauss[2]{1/(#2*sqrt(2*pi))*exp(-((x-#1)^2)/(2*#2^2))} % Gauss function, parameters mu and sigma
\begin{axis}[every axis plot post/.append style={
mark=none,samples=50,smooth}, % All plots: 50 samples, smooth, no marks
axis x line*=bottom, % no box around the plot, only x axis
axis y line=none, % the * suppresses the arrow tips
enlargelimits=upper, % extend the axes a bit to the right and top
domain=-2:3, % Default for all plots: from -4:4
xtick={1.282},
width=10cm,
height=4cm]
\addplot [fill=gray!30, draw=none, domain=-3:1.282] {\gauss{0}{1}} \closedcycle;
\addplot[domain=-3:3] {\gauss{0}{1}};
\end{axis}
\end{tikzpicture}

Btw, we don't need to specify xticklabels. Those labels are implicit. We only need it if we want to show something different than the corresponding xtick values.
 
  • #3
Mahalo
yeah I am trying to learn tikz
 

FAQ: standard normal sscurve P(Z le t) =0.9

1. What is a standard normal curve?

A standard normal curve is a symmetric bell-shaped curve that represents the distribution of a set of data with a mean of 0 and a standard deviation of 1. It is often used in statistics to analyze and interpret data.

2. What is the significance of P(Z ≤ t) = 0.9 in a standard normal curve?

This equation represents the probability of a randomly selected data point falling below a certain value t on the standard normal curve. In this case, the probability is 0.9, meaning there is a 90% chance of the data falling below t.

3. How do you calculate the area under a standard normal curve?

The area under a standard normal curve can be calculated using a statistical table or a calculator. The table provides the area to the left of a given z-score, while the calculator can calculate the area within a specified range of z-scores.

4. What is the purpose of using a standard normal curve in statistical analysis?

A standard normal curve is useful in statistical analysis because it allows for comparisons between different data sets with different means and standard deviations. It also allows for the calculation of probabilities and confidence intervals for a given set of data.

5. What does the value of t represent in P(Z ≤ t) = 0.9?

The value of t represents a specific point on the standard normal curve. It is usually a z-score, which is a measure of how many standard deviations a data point is above or below the mean. In this case, t represents the point where 90% of the data falls below on the standard normal curve.

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