percentage may be now, so a of 250 of last year's freshmen4. 78% of all to in Fall 2015. You think that theaand tind that 84% returned, www.csun.edu/counts/one_year_continuation_rate-plipa. What is p? _What is the number of successes?What is n?b. Write the hypotheses:Circle the best definition of p.the proportion of all of last year's freshmen who returnedthe proportion of all 2014 CSUN freshmen who returnedthe proportion of all CSUN freshmen among the 250 who returnedC. Assuming that Ho is true, the sampling distribution of p has a mean ofUse the formula to compute the SE of the sampling distribution of p.Complete this sketch of the samplingdistribution of p. Put a scale on thehorizontal axis. Then locate the resultfrom the sample and shade in arearepresenting the p-value. (Is the arearepresenting the p-value on one sideor two sides?)Use StatCrunch to find the p-value for this situation.e. Is there statistically significant evidence that the percentage is different now?f. Complete each sentence.Because the p-value is LESS / GREATER than 0.05, we REJECT/DO NOT REJECT theNULL / ALTERNATIVE hypothesis. (The result IS / IS NOT significant at the 1% level.)The data ARE / ARE NOT consistent with the claim that 78% of all ofFALL 2014 FRESHMEN / LAST YEAR'S FRESHMEN returned the following year.If the null hypothesis is TRUE / FALSE, it is UNLIKELY / REASONABLY LIKELY to get arandom sample of 250 freshmen where 78% / 84% returned,a. The proportion of all of last year's freshmen who returned actually was 81.2%. Did youcome to the right conclusion?Explain.7/18/20

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78% of all Fall 2014 CSUN freshmen returned to CSUN in Fall 2015. You think that the percentage may be different now, so you take a random sample of 250 of last year's freshmen and tind that 84% returned, www.csun.edu/counts/one_year_continuation_rate.prp a. What is p? What is the number of successes? What is n?

78% of all Fall 2014 CSUN freshmen returned to CSUN in Fall 2015. You think that the percentage may be different now, so you take a random sample of 250 of last year's freshmen and tind that 84% returned, www.csun.edu/counts/one_year_continuation_rate.prp a. What is p? What is the number of successes? What is n?

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

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Concept explainers

Contingency Table

A contingency table can be defined as the visual representation of the relationship between two or more categorical variables that can be evaluated and registered. It is a categorical version of the scatterplot, which is used to investigate the linear relationship between two variables. A contingency table is indeed a type of frequency distribution table that displays two variables at the same time.

Binomial Distribution

Binomial is an algebraic expression of the sum or the difference of two terms. Before knowing about binomial distribution, we must know about the binomial theorem.

Topic Video

Question

percentage may be now, so a of 250 of last year's freshmen
4. 78% of all to in Fall 2015. You think that the
a
and tind that 84% returned, www.csun.edu/counts/one_year_continuation_rate-plip
a. What is p? _
What is the number of successes?
What is n?
b. Write the hypotheses:
Circle the best definition of p.
the proportion of all of last year's freshmen who returned
the proportion of all 2014 CSUN freshmen who returned
the proportion of all CSUN freshmen among the 250 who returned
C. Assuming that Ho is true, the sampling distribution of p has a mean of
Use the formula to compute the SE of the sampling distribution of p.
Complete this sketch of the sampling
distribution of p. Put a scale on the
horizontal axis. Then locate the result
from the sample and shade in area
representing the p-value. (Is the area
representing the p-value on one side
or two sides?)
Use StatCrunch to find the p-value for this situation.
e. Is there statistically significant evidence that the percentage is different now?
f. Complete each sentence.
Because the p-value is LESS / GREATER than 0.05, we REJECT/DO NOT REJECT the
NULL / ALTERNATIVE hypothesis. (The result IS / IS NOT significant at the 1% level.)
The data ARE / ARE NOT consistent with the claim that 78% of all of
FALL 2014 FRESHMEN / LAST YEAR'S FRESHMEN returned the following year.
If the null hypothesis is TRUE / FALSE, it is UNLIKELY / REASONABLY LIKELY to get a
random sample of 250 freshmen where 78% / 84% returned,
a. The proportion of all of last year's freshmen who returned actually was 81.2%. Did you
come to the right conclusion?
Explain.
7/18/20

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