Question

we will collect data about gender and height using our class. using the paper hanging in the laboratory, each lab group will measure their participant's initials and next to the initials record their reported gender.

results:150.22 female, 155 f, 154 f, 155.9 f, 156 f, 163.1 f, 154 f, 159 f 170.8 f, 167.6 f, 163.2 f, 168 f, 165 f, 166 f, 165 f, 160 f, 159 f, 163 f, 175 f, 175.3 f, 150 f

165.7 male, 175 m, 170.23 m, 174 m, 180m, 170m, 170.5 m, 179 m, 181 m, 180 m, 170 m, 169 m, 176 m, 180 m

1)using the data about height and gender that you will collect during lab and the information about scientific method, write a question about the sample/population you might ask and collect this data to investigate.

2)what hypothesis based on your question might you propose? remember hypotheses must be testable and falsifiable and can never be proven true. the evidence from your investigation can only provide support for the hypothesis.

3)what prediction might you make base on your question and hypothesis?

Answer #1

The data collected are:

Gender

Height

1) Using the collected data below research question can be framed

Does the mean height of male and females differ?

2) Hypothesis for the above question is framed as below:

Null hypohtesis: There is no significant difference in the mean height of males and females

Alternative hypothesis (Study hypothesis): There is a significant difference in the mean height of males and females

3) Based on the question and hypothesis, and also in general physically the difference in the height of males and females are expected. So, one can predict to reject the null hypothesis.

Bivariate Data & Probability
After completing the calculation by hand in Q1 you can use
Excel to check your answers before submitting. Q2 assesses your
general understanding of probability and linear associations using
Excel to analyse a large dataset.
Question 1
Covariance and Correlation
The table below shows a set of sample bivariate data. Calculate
the covariance and correlation coefficient by completing the below
table. Show all working.
X
Y
(X - )
(Y - )
(X - )(Y -...

3. (Lesson 11) Use Minitab Express to conduct a
chi-square test to determine if there is a relationship between
gender and whether the student said that they would prefer to win
an Academy Award, Nobel Prize, or Olympic Medal. Use the
five-step hypothesis testing procedure. [25 points]
Step 1: State hypotheses and check
assumptions
Step 2:Compute the test
statistic
Step 3: Determine the
p-value
Step 4: Make a decision (reject or fail
to reject the null)
Step 5: State a real...

2. (Lesson 11) The “Year” variable represents whether
each student identified as a first-year student, sophomore, junior,
or senior. Use Minitab Express to conduct a chi-square test to
determine if the proportions of students who identify as each year
are not all equal. Use the five-step hypothesis testing procedure.
[25 points]
Step 1: State hypotheses and check
assumptions
Step 2:Compute the test
statistic
Step 3: Determine the
p-value
Step 4: Make a decision (reject or fail
to reject the null)...

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