MATH 1410 / MATH1410 STATISTICS
UNIT 5 – MILESTONE 5
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Which of the following is an example of a
... [Show More] parameter?
Half of the receipts at the coffee shop include web address for giving feedback.
9047 out of 531,310 citizens voted in the special election for city council.
3.5% of the restaurant goers are given a survey to fill out.
All of the members of the community watch group gave their availability to volunteer over the summer.
RATIONALE
Recall a parameter comes from the entire set of interest, the
population. Since they are looking at all members of a community here, their availability to volunteer would be an example of a parameter.
CONCEPT
Sample Statistics and Population Parameters I need help with this question
2
A school is gathering some data on its sports teams because it was believed that the distribution of boys and girls were evenly distributed across all the sports. This table lists the number of boys and girls participating in each sport.
Boys Girls
Tennis 18 30
Soccer 42 15
Swimming 12 18
Select the observed and expected frequencies for the boys participating in soccer.
Observed: 42
Expected: 22.5
Observed: 42
Expected: 24
Observed: 57
Expected: 24
Observed: 57
Expected: 22.5
RATIONALE
If we simply go to the chart then we can directly see the observed frequency for boys participating in soccer is 42.
To find the expected frequency, we need to find the number of
occurrences if the null hypothesis is true, which in this case, was that the three options are equally likely, or if the three options were all evenly distributed.
First, add up all the options in the boys column:
If each of these three options were evenly distributed among the 72 boys, we would need to divide the total evenly between the three options:
This means we would expect 24 boys to choose tennis, 24 boys to choose soccer, and 24 boys to choose swimming.
CONCEPT
Chi-Square Statistic
I need help with this question 3
Sukie interviewed 125 employees at her company and discovered that 21 of them planned to take an extended vacation next year.
What is the 95% confidence interval for this population proportion? Answer choices are rounded to the hundredths place.
0.11 to 0.21
0.10 to 0.23
0.16 to 0.17
0.11 to 0.16
RATIONALE
In order to get the CI we want to use the following form.
p with hat on top plus-or-minus z to the power of asterisk times square root of fraction numerator p with hat on top q with hat on top over denominator n end fraction end root
First, we must determine the corresponding z*score for 95% Confidence Interval. Remember, this means that we have 5% for the tails, meaning 5%, or 0.025, for each tail. Using a z-table, we can find the upper z-score by finding (1 - 0.025) or 0.975 in the table.
This corresponding z-score is at 1.96.
We can know p with hat on top comma space q with hat on top comma space a n d space n.
So putting it all together:
The lower bound is:
0.168-0.065 =0.103 or 0.10
The upper bound is:
0.168+0.065 =0.233 or 0.23
CONCEPT
Confidence Interval for Population Proportion I need help with this question
4
Select the statement that correctly describes a Type II error.
A Type II error occurs when the null hypothesis is accepted when it is actually false.
A Type II error occurs when the null hypothesis is rejected when it is actually true.
A Type II error occurs when the null hypothesis is accepted when it is actually true.
A Type II error occurs when the null hypothesis is rejected when it is actually false.
RATIONALE
Recall a Type II error is when we incorrectly accept a false null
hypothesis. In this case, we want to reject and conclude there is evidence is correct.
CONCEPT
Type I/II Errors
I need help with this question 5
Henri has calculated a z-test statistic of -2.73.
What is the p-value of the test statistic? Answer choices are rounded to the thousandths place.
0.004
0.006
0.003
0.394
RATIONALE
If we go to the chart and the row for the z-column for -2.7 and then the column 0.03, this value corresponds to 0.0032 or 0.003.
CONCEPT
How to Find a P-Value from a Z-Test Statistic I need help with this question
6
One condition for performing a hypothesis test is that the observations are independent. Marta is going to take a sample from a population of 600 students.
How many students will Marta have to sample without replacement to treat the observations as independent?
540
60
120
300
RATIONALE
In general we want about 10% or less to still assume independence. So size = 0.1*N = 0.1(600) = 60
A sample of 60 or less would be sufficient.
CONCEPT
Sampling With or Without Replacement I need help with this question
7
Brad recorded the number of visitors at the local science museum during the week:
Day Visitors
Tuesday 18
Wednesday 24
Thursday 28
Friday 30
He expected to see 25 visitors each day. To answer whether the number of visitors follows a uniform distribution, a chi-square test for goodness of fit should be performed. (alpha = 0.10)
What is the chi-squared test statistic? Answers are rounded to the nearest hundredth.
2.54
1.40
3.36
1.12
RATIONALE
Using the chi-square formula we can note the test statistic is
CONCEPT
Chi-Square Test for Goodness-of-Fit I need help with this question
8
What value of z* should be used to construct a 97% confidence interval of a population mean? Answer choices are rounded to the thousandths place.
2.17
1.65
1.88
1.96 [Show Less]